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Traditional-Chinese-Medicine-Visual-Analysis

Traditional Chinese Medicine-Visual Analysis

In order to get the essential information concealed inside traditional Chinese medicine, the development and intellectual qualities of traditional Chinese medicine are examined. The analysis offers sources for scientific research so that researchers can identify the areas of effective integration, investigate the potential of traditional Chinese medicine from a scientific standpoint or view, and keep developing technology to support Chinese medicine.

Perception-of-Complex-Engineering-Problem

Perception of Complex Engineering Problem

The World Economic Forum regularly ranks addressing complex problems as one of the top "10" abilities that companies value in graduates in 2015, 2020, and 2025. This study assessed the perception of complex engineering problems among capstone design students. The conclusion of this study is expected to be beneficial to students and teachers, as it provides ideas for addressing complex engineering problems.

Medical-Decision-Making

Medical Decision Making

The science of using living things to improve both the environment and human existence is known as Biotechnology (Technology based on Biology). The field of biotechnology has grown rapidly in recent years. This research study uses bibliometric approaches to investigate Medical Decision Making and Biotechnology through scientific mapping. It is involved in investigating the productivity of science and contrasting significant factors.

Dynamic-Learning-in-the-Microbiology-Lab

Dynamic Learning in the Microbiology Lab

During the COVID-19, educational institutions were closed. Teachers needed substitute sources for lab work. This study assessed ‘2’ devices for the Microbiology. The 1st tool is Virtual BioLabs to manage specialized lab equipment. The 2nd is Virtual Journey, an interactive 360-degree film explaining a bacterial foodborne illness. We used qualitative and quantitative evaluation to measure the impact of these tools during the pandemic.

Driving-role-of-computer-science

Driving role of computer science

In recent years, many professionals and scholars have also become interested in computer science and technology applications in other sectors. Additionally, this research paper discusses the challenges that have arisen as computer science and technology have grown in importance and features. At the same time, this research paper discusses computer science and technology application principles, development approaches, and development strategies.

Linguistic-Teaching-Strategies-Based-on-Deep-Learning.jpg

Linguistic Teaching Strategies Based on Deep Learning

This paper investigates the potential of incorporating deep learning techniques into English language and linguistic teaching strategies. The objective of this study is to examine the possible advantages, difficulties, and methods for implementing deep learning in English language and linguistic education. This research studies evaluates and offers guidance on how to use deep learning to improve the efficacy of language instruction.

Data-Mining-Analysis-of-Cognitive-Science-AI

Data Mining Analysis of Cognitive Science & AI

AI aids in modeling and replicating the human brain. To identify relevant research, and the scope of study in cognitive science and AI, this work makes use of the VOS. The top 5 countries with the most publications are the US, UK, China, and Germany. This will work as a guide for upcoming researchers in AI and cognitive science theory.

Impact,-Evaluation-and-Difficulties-of-COVID-19

Impact, Evaluation, and Difficulties of COVID-19

The world became a catastrophic pandemic due to the new COVID-19. Humans were rapidly infected by this virus. As a result, to get out of this pandemic condition, preventive actions were crucial. A thorough analysis of COVID-19 is given in this paper, covering a number of significant and connected topics that will aid readers in comprehending the virus and conducting additional studies.

Parity-Check-Algorithm-in-Human-Anatomy

Parity Check Algorithm in Human Anatomy

The parity check algorithm in the human anatomy is used in this work. It uses the points in the closed curve. It was observed that there was a statistically significant difference in the satisfaction rate of teaching methods. It resulted that the control group had a relatively low satisfaction rate, whereas the observation group 1 and 2 had higher satisfaction rates.

Cancer-Prediction-using-Machine-Learning

Cancer Prediction using Machine Learning

The use of machine learning in the diagnosis of cancer. We provide several attributes for three cancer systems that require data entry from the user to produce a result. Considerations for lung cancer include smoking, anxiety, pressure, etc. Radius, texture, perimeter, and area, are considered when diagnosing cancer, and the outcome for both types of cancer is the chance of developing the disease.

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IEEE-Standard-for-Autonomous-Robotics

IEEE Standard for Autonomous Robotics

This standard extends in IEEE Std 1872-2015. This standard can be applied in a multitude of ways, such as defining the domain knowledge required to clearly describe the design patterns of AuR systems, unifying the representation of AuR system architectures, or serving as a guide for the development of autonomous systems made up of robots that operate in diverse environments.

A-Design-of-mRNA-Based-COVID-19-Vaccine

A Design of mRNA-Based COVID-19 Vaccine

A new class of mRNA has been introduced to medicine for producing a vaccine against SARS-CoV-2. This paper presents a four-module COVID-19 RNA-based vaccine: neural codon optimization, interaction box, mRNA-based vaccine design, and SARS-CoV-2 profile. The results demonstrate that the vaccination offers strong protection against viral alterations. The vaccine still offered 78% protection.

Pisciculture-Monitoring-System

Pisciculture Monitoring System

Raising fish in a pond is called Pisciculture. Farmers today have to test a variety of water characteristics, including temperature, turbidity, and pH. They will Manually test the samples under the current method. Through an Android app, our application will enable the farmer to remotely monitor the parameters. If the values depart from the threshold value, the farmer will receive an alert.

Application-of-BIM-Technology-in-Construction

Application of BIM Technology in Construction

Construction has grown considerably in importance to the growth of the economy. Building construction projects have high requirements for the application of building information modeling. To offer ideas for the application of BIM in housing construction project management, the article examines how it is used in each stage of the project and how to choose and apply it. It also suggests development measures.

Development-of-Mobile-Communication-Technology

Development of Mobile Communication Technology

Mobile Communication Technology is a developing technology. We used the advancement of mobile communication technology as a study subject. Beginning with the areas in which mobile communication technology is applied, this article describes the process of mobile communication technology. Here, we explained the potential practical application and its underlying principles.

Performance-Study-of-Kotlin-and-Java-Program

Performance Study of Kotlin and Java Program

Information technology has made use of Java. Java virtual machine provides the foundation for the development of Kotlin. Here, we analyze the performances in Kotlin and Java based on this ecosystem implementation. (1): we assess how the loop function performs. (2): we discuss the reason for these performance declines. (3): discuss a method for improving the performance. Finally, we assess the performance-improving approach.

Mastering-Large-Datasets-with-Python

Mastering Large Datasets with Python

This research paper shows you how to use a functionally driven approach to Python coding to take a modest project and build it out. This research study mainly explains about the distributed technologies that enable high data throughput techniques and built-in Python tools. This practical tutorial's hands-on exercises will solidify these fundamental abilities of research for any ambitious data science project.

Simulating-MATLAB-system-models-in-PSpice

Simulating MATLAB system models in PSpice

A simulating MATLAB system model in the PSpice environment is presented. An algorithmic element is created and exported to a C-model. This research paper provides a detailed description of the modifications needed to bring the MATLAB C-Model into compliance with PSpice device modeling specifications. Once circuit simulations using PSpice are signed off, the algorithmic module can be targeted to FPGA, and PCB for implementation.

Cross-Border-E-Commerce-Development

Cross-Border E-Commerce Development

Small and medium-sized businesses have a significant role in China. The growth of small and medium-sized businesses has the potential to propel regional development. However, COVID-19 had a bigger effect on international e-commerce enterprises in Dongguan. The growth of small and medium-sized businesses has the potential to propel regional development. However, COVID-19 had a bigger effect on international e-commerce enterprises in Dongguan.

Role-of-Cell-Morphology-in-Classical-Delta-Notch-Pattern

Role of Cell Morphology in Classical Delta-Notch Pattern

It is notch signaling that causes adjacent cells to differentiate into various states. We use a realistic epithelial layer cell model. We found that, in the early stages of embryogenesis, smaller cells have a higher probability of becoming signal-generating cells because cell signaling intensity is inversely related to cell area. Our research emphasizes how cell morphology affects the stochastic cell destiny decision-making process.

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Brain imaging genetics

Brain imaging genetics

Numerous methodological advancements in brain imaging genetics can be attributed to initiatives like the UK Biobank, Neuroimaging Initiative, and Alzheimer's Disease Sequencing Project. We discuss fundamental concepts, statistical and machine learning methods, and innovative applications. We demonstrate how the extensive availability of genomics data related to brain imaging from multiple biobanks and developments in biomedical computers, and statistics.

Oyster Mushroom Cultivation using Fuzzy Logic Controller

Oyster Mushroom Cultivation using Fuzzy Logic Controller

Oyster mushroom is one type of mushroom that is commonly used in Indonesian. This study details the creation of a prototype fuzzy logic controller-based temperature and humidity management system for oyster mushroom farming. The Arduino microcontroller has a fuzzy logic controller installed to generate the temperature and humidity setpoints. The time response to reach the setpoint spans from 1 minute 27 seconds to 8 minutes 10 seconds.

Characterization and Classification of Mangifera Indica

Characterization and Classification of Mangifera Indica

In the Philippines, agriculture is extremely important. Mango production in the Philippines is ranked 7th in the world. The main objective of this project is to develop an electronic nose can differentiate between ripe and unripe Mangifera Indica. A mango's ripeness can be determined via the Fuzzy Logic Algorithm. Unripe mangoes were identified with an accuracy of 93.33%, whereas ripe mangoes were identified with 86.67%. The system's total accuracy is 90%.

Na3NiZr(PO4)3 Electrode Material for Sodium-ion Batteries

Na3NiZr(PO4)3 Electrode Material for Sodium-ion Batteries

It was investigated to use the Na 3 NiZr(PO 4) 3 superionic conductor-type as an anode for SIBs. the structural and electrochemical properties of this phosphate were investigated using XRD, SEM, and electrochemical testing. An initial discharge energy of 140 mAh/g is provided by Na 3 NiZr(PO 4) 3 /C in a sodium half-cell at a density of 25 mA/g. Even at high-density rates from 25 to 500 mA/g, good capacity retention was maintained.

Evaluation of Ion Angle Deviation

Evaluation of Ion Angle Deviation

Outgassing is an unavoidable problem, particularly when using photoresist masks for high-energy ion implantation. Two factors influence the ion beam under the outgassing. The first is the charge exchange brought about by ions interacting with molecules or atoms that are exhaling. The other is nuclei in the outgassing molecules or atoms scattering ions. After assessing the impact of the second event, we discovered that the ion beam's scattering angle is substantially smaller than the Si <;100> channeling critical angle.

Applications of Computer Graphic Design Software

Applications of Computer Graphic Design Software

Technology and art are combined to create graphic design. As society and the times evolved, computer graphic design software was integrated with various forms of graphic design. This article first examined the idea of computer graphic design software, then it introduced the idea and the condition of graphic design today before examining how computer graphic design software is used in graphic design.

Study on Water Balance and Variations

Study on Water Balance and Variations

Daihai is the third-largest lake in Mongolia. In response to the ongoing water level drop, this paper examines the interannual water level of the lake from 1960 - 2019. This study employs the water balance model to calculate the average multi-year water deficit in Lake by examining changes in inflows & outflows from 2010- 2019. The results say that the theoretical foundation is grounded in science for Daihai Lake's sustainable development.

Terrestrial Laser Scanning Data in Forest ecosystem

Terrestrial Laser Scanning Data in Forest ecosystem

Fuel loads in Longleaf Pine forest ecosystems have been mapped using lidar. This study aimed to evaluate how well the ALS and TLS, and their combination, could forecast CBD in the ecosystem of a longleaf pine forest. This study aimed to assess the utility of ALS and TLS and combination in predicting CBD. Tree attributes, such as tree height, crown width, height, and diameter at breast height in three plots of ~ 0.19 were measured and calculated.

Quantitative Analysis of Terrorist Attacks

Quantitative Analysis of Terrorist Attacks

Terrorism is a major threat to the world. Based on the GTD database, with big data, this paper optimizes the GTD-related data of terrorist attacks by mathematical methods. They are hierarchical, fuzzy clustering, and regression analysis. The values are calculated, values are sorted. The similarity coefficient, the suspicion degree of terrorists about events is determined, thus the counter-terrorism is effectively predicted.

Plant Disease Detection Using an Electronic Nose

Plant Disease Detection Using an Electronic Nose

This paper presents results on differentiation between healthy wheat plants and plants infected with Fusarium Head Blight. The CMUT sensor array is functionalized with organic/inorganic materials to capture disease-related volatile signals. Experimental results demonstrate the effectiveness of the proposed approach in achieving high accuracy for plant disease detection at the end of the 11th day after plant inoculation.

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Animals in Virtual Environments

Animals in Virtual Environments

Digitally stimulating one or more sensory systems is the fundamental concept of an XR application of the human user in an interactive way to achieve an immersive experience. Virtual Environments is a growingly popular usage of XR technology for animals. We offer this review as evidence for our claim, which summarizes animal behavior studies carried out in virtual settings.

Anti-Bird Devices for Transmission Line Towers

Anti-Bird Devices for Transmission Line Towers

As the biological environment has improved, transmission line breakdowns brought on by bird activity have become more frequent, particularly in the spring, and are now one of the biggest risks to the operational safety of transmission lines. In this paper, a variable-angle anti-bird cage is designed to effectively remove the error gap between the device and the tower on the side.

LMR-based planar biosensor

LMR-based planar biosensor

An alternative for fiber sensors based on lossy mode resonance (LMR) is a planar waveguide design. This study compares the performance of three biosensors that are manufactured with and without a SiO 2 intermediary layer to detect anti-IgG. The biosensor used an intermediate layer and placed the LMR in the visible range. This displays the lowest possible limit of detection of 0.02μg/ml.

Surgical instrument segmentation method

Surgical instrument segmentation method

By using visual image analysis, the surgical instrument robot can accomplish the delivery and classification management of surgical instruments. In this work, we suggest a system for segmenting surgical instruments based on the enhanced MobilenetV2 network. According to the results of the experiment, the improved network's MIoU, PA, and fps values on the surgical instrument dataset are 24.8, 0.885, and 0.861, respectively.

Studying dynamic mathematics software

Studying dynamic mathematics software

The paper discusses the need for IT specialists, and informatics teachers, to learn about dynamic mathematics software. The authors raise the issue of teachers, students of specialty 014 Secondary education, and 122 IT. It is observed that these abilities happens when utilizing dynamic mathematics software to write a lesson fragment. It demonstrates the dynamic of qualitative shifts in the lab.

Digital Cinema Initiative

Digital Cinema Initiative

This article discusses the difficulties in generating Key Delivery Messages (KDMs) in the digital cinema sector. This paper explains the concepts of encrypted Digital Cinema Packages, Trusted Device List, and Digital Certificates. The suggested platform is a effective solution that may be used in real situations and act as a model for other sectors of society that are dealing with related issues.

Thermodynamics as Combinatorics

Thermodynamics as Combinatorics

We discuss a toy model that makes it possible to derive important truths about thermodynamics. We reproduce the possibility of negative temperatures, the notion of equilibrium as the coincidence of two notions of temperature, statistical versus structural, and the zeroth law of thermodynamics, which we find to be redundant, as other authors, yet at the same time not to be universally valid.

Growth kinetics of intermetallic compound

Growth kinetics of intermetallic compound

This study provides a comprehensive assessment and summary of the recently published research on the growth kinetics of intermetallic compounds (IMC) in solder joints under temperature cycling in electronic packaging applications. There have only been a few diffusion studies on the isolated IMC morphology in the solid state, and few quick talks have been held in anticipation of more thorough research in the future.

Safety Training of Hazardous Construction Site

Safety Training of Hazardous Construction Site

Virtual reality, or VR, has been used in industries. The results of a VR-based Interactive Education System for construction hazards (VRIES) to support construction safety are presented in this study. The results demonstrated that knowledge and awareness of construction safety had improved following training with the suggested VRIES. The VRIES has the potential to improve construction safety, knowledge, and behavior to reduce accidents.

Analysis of the transport system development

Analysis of the transport system development

The basic stages of the nation's transport system and the growth of transportation services. The field of transport construction demonstrates the need for increased coordination and research development, as evidenced by the maintenance of normative equipment, the proper incorporation of building manufacturing norms and rules based on the accomplishments of related fields of knowledge, and the validated experience of completed building objects.

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Statistical Analysis of Preferences for Art

Statistical Analysis of Preferences for Art

We proposed wearing art as a fashion in daily life by fusing digital art with digital printing technologies. We set up a production setting and verified that art fashion could be made quickly. Taking advantage of the art fashion display, we distributed questionnaires to the audience asking them to rate the art outfits. The initial report of the questionnaire analysis is this publication.

Predictive Insight of Global Warming

Predictive Insight of Global Warming

Today, Global warming is one of the major issues. This study presents an architecture for the Green Warming Model (GWD) and describes how data engineering and analytics may be utilized to control global warming. Thus, the main contribution of this research project is the application of data engineering and machine learning (ML) to the preservation of the environment.

Moon Research Program of Türkiye

Moon Research Program of Türkiye

An overview of Turkey's Moon Research Program has been provided in this article. The National Space Program of Turkey was produced and released in 2022. Among the main subjects covered in the research were developing deep space technologies, planet exploration initiatives, and Moon missions. The Moon Research Program Project was started to make Türkiye one of the capable participants in the space race.

Enhanced Model for Automatic Tamil Text Summarization

Enhanced Model for Automatic Tamil Text Summarization

One method of doing this is by automatically extracting a few text passages from the given document and summarizing them. This proposed work does automatic text summarizing in Tamil language using a hybrid model that integrates sentiment, keyword, and text ranking scores. An average accuracy of roughly 0.81 for recall, 0.61 for precision, and 0.67 for F score is obtained when employing the suggested model.

Natural Language Processing and Machine Learning Techniques

Natural Language Processing and Machine Learning Techniques

Using natural language processing (NLP) and machine learning, this paper outlines the design and development of a computer-aided foreign language learning grammatical knowledge database for learning Japanese sentence patterns. This database can be viewed as an additional useful resource for learning Japanese grammar and an advancement in the efficacy of the already-existing intelligent computer-assisted Japanese language learning system.

Photovoltaic Market Demand Analysis

Photovoltaic Market Demand Analysis

Distributed photovoltaic market transactions will involve a growing number of players, including equipment suppliers, integrated energy firms, investors, and others due to the rapid growth of distributed solar power generating technology in China. It examines the core elements and organizational structure of diverse submarkets and leverages the demand features of the primary submarkets. Thus, it lays the groundwork for enhancing market service capabilities.

Civil Aviation Informatization Technology

Civil Aviation Informatization Technology

The general state of the technical field, development trends, and hotspots for industry technological innovation can all be found using analysis techniques based on large data sets from patents. In this research, we used the patents database to search the technical sector. To comprehend industry development trends and policy formulation, appropriate conclusions might serve as references for agencies and civil aviation units.

Performance analysis of solar heat generation system

Performance analysis of solar heat generation system

A thermal performance simulation of a solar central heat generating system for multifunctional applications is presented in this paper. Utilizing TRNSYS software, a theoretical model is created, and the Center for Solar Energy Research and Studies in Libya is going to host an experimental test rig. The simulation's findings indicate that the solar system can supply more than 90% of the energy.

Immunological Memory of Yellow Fever Virus

Immunological Memory of Yellow Fever Virus

The human immune system (HIS) is responsible for the defense of the organism against pathogens. In silico experiments are used to study mathematical models of HIS. Using these models, we examine the primary and secondary responses to the Yellow Fever virus (YFV). It was feasible to quantify the impact of model parameters and replicate aspects of antibody dynamics in a secondary reaction to the YFV.

Social Media's Impact on Business and Society

Social Media's Impact on Business and Society

Technology has impacted every aspect of our lives. Consequently, it has evolved into an essential teaching tool that parents are finding challenging to argue with their kids. Social media platforms can have positive or negative effects based on the user and their intentions, as well as the engagement and awareness of other users.

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Evaluation of Engineering Ethics in Mechanical Engineering

Evaluation of Engineering Ethics in Mechanical Engineering

Recently, questions concerning engineering students' ethical consciousness have been addressed. Using a mixed method research methodology, the study reviewed the curriculum and spoke with lecturers to identify the modules that included the teaching and evaluation of engineering ethics. It is advised, the results, to employ ethics across the curriculum approach, bolstered by a special engineering ethics module.

Marine Target Detection Method based on Embedded Vision

Marine Target Detection Method based on Embedded Vision

To maximize the marine information resources, we suggest researching the essential technologies for the collecting of information about the marine environment. To train the samples for the creation of a marine target recognition network, a lightweight target detection framework network model is chosen for the work. This network is then installed on intelligent terminal equipment to enable marine target detection and recognition.

Intelligent Analysis System for Postpartum Depression

Intelligent Analysis System for Postpartum Depression

Based on big data, this study creates a platform for gathering information about the connection between postpartum depression and social support in fetal women. Postpartum depression is comparatively common among mothers of second children. It is possible to improve the physical and emotional well-being of second-born mothers and foster family harmony by taking a closer look at how the maternal social support system affects postpartum depression.

A Novel conflict measurement method

A Novel conflict measurement method

Dempster-Shafer theory, a generalization of probability theory, performs better when handling ambiguous data. Evidence is given more weight when the majority of sources support it. Evidence with lower entropy has a stronger capacity to deliver reliable information. Experiments conducted on real data demonstrate that this method has a higher accuracy when compared to other methods and can address the combination problem of conflicting evidence.

Deep Learning for Plant Species Classification

Deep Learning for Plant Species Classification

Botany, agriculture, and environmental science all depend on the process of classifying plant species, which offers important insights into ecological systems, biodiversity, and agricultural methods. To make plant species categorization easier, this research offers the construction of Convolutional Neural Networks, a deep learning-based technique that extracts information from leaf photos. By using CNNs, it is easier to extract features from leaf photos, which increases efficiency and accuracy.

Hit Songs Prediction Using Machine Learning

Hit Songs Prediction Using Machine Learning

The music industry has grown from independent composers releasing their self-published work. We generated a collection of Hindi songs to illustrate this. We contrasted the outcomes of methods, including AdaBoost, Multi-layer Perceptron (MLP), Gaussian Naive Bayes, Random Forrest, and Logistic Regression enhanced with SGD. Based on the findings, MLP produced the greatest results, with an F1 score of 0.8849, recall of 0.8875, and precision of 0.9429.

Research on Dual-infrared Laser Based Speed Meter

Research on Dual-infrared Laser Based Speed Meter

China's economy is growing at a rapid pace. The study's findings can assist relevant traffic departments in keeping an eye on the tunnel's speed, which will lower the number of accidents that occur there. They can also serve as a strong deterrent, making drivers afraid to break the law, which will help to ensure the tunnel is operated and managed safely.

Educational Platform for Remote Power Electronics

Educational Platform for Remote Power Electronics

This research paper mainly focuses on the “Digital Educational Platforms” that can aid students in measuring basic power electronics converters in a remote method. The user can be connected through a remote method and view real-time oscilloscope waveforms, register operation parameters like voltage & currents, and change operation points such as Duty cycle, and frequency.

Detection of cancer using animal model

Detection of cancer using animal model

Imaging methods for the diagnosis of cancer include MRI, X-ray computed Tomography, Optical Imaging, Ultrasound, and PET method. Here, we have worked on Neutron Radiography to detect tumors from normal lung tissues at a spatial resolution of ≈100 μm. The neutron images of cancer cells were associated with the histology data. It can provide information about the structure of cancers in biospecimens.

Challenges of IoT in Robot Taxi

Challenges of IoT in Robot Taxi

Autonomous Robot Taxis are the future self-driven robots that can be operated on is own without the help of the driver. One of the major challenges is to change the existing form of cars into robot taxis. A brief analysis of the sensors used in the Autonomous Robot Taxis is explained in the architecture section. Hopefully, these vehicles will be in use globally in the future.

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Aircraft Crash Detection by Machine Learning

Aircraft Crash Detection by Machine Learning

Airplanes are one of the most common modes of transport by so many people. The aim of this study is to identify the rate & cause of the aircraft accident. Here, we examine the most occurred reason for eh airplane crash. The proposed methodology aims to form a prediction model by machine learning such as random forest and Bayesian classifications. The prediction range is 80-90%.

Fog Assisted Tiger Alarming Framework

Fog Assisted Tiger Alarming Framework

Real-time monitoring is needed to save endangered wildlife. To monitor wild animals, camera-trapping technology is highly used. The proposed work is simulated in the iFogSim simulator. It results that the proposed fog-based model successfully reduces latency and network usage compared to the traditional cloud-based model. The comparative study shows a significant improvement in the execution time over the cloud system.

Visualizing the History of Commercial Whaling

Visualizing the History of Commercial Whaling

Whales are the important marine mammal. In this work, we worked with experts in aquatic and fishery science to create WhaleVis. We illustrate key analysis tasks among whale researchers for this database. This research model facilitates the visual estimation of whale search efforts & spatial distribution of whale populations normalized by the search effort. We present the use of our dashboard with a real-life use case.

Orthogonal Oja algorithm

Orthogonal Oja algorithm

In this paper, we describe the orthogonalized version of the Oja algorithm. It can be used for a estimation of minor and principal subspaces of a vector sequence. When compared with ooja, the new algorithm provides benefits of weight matrix that are ensured at each iteration, numerical stability, and a quite similar computational complexity.

Multi-scenario Tsunami Hazard Analysis

Multi-scenario Tsunami Hazard Analysis

This paper exhibits a tsunami hazard assessment of the Lianyun District. Based on the Historical Seismic Events Catalogue & Analysis, the local, regional, and distant tsunami sources that may produce dramatic potential tsunami threats to the evaluation area were given scientifically. The outcome of the hazard assessment can supply decision-making support for emergency management, urban planning, and coastal fishery in the assessment area.

Mechanical Model of a subsea Christmas Tree

Mechanical Model of a subsea Christmas Tree

To study the mechanical characteristics of the Chrismas Tree, the parameter sensitivity analysis of the subsea Christmas Tree deepwater lowering system (DLS) is performed. The result showed that the DLS is affected by the combination of wave & current force. The reason for the docking failure is the current force. The maximum lateral displacement(L.D) is noted as 2.7m by the conversion of current velocity into the L.D.

Apple Leaf Disease Detection

Apple Leaf Disease Detection

Apple trees are a significant economic crop. Lately, deep learning algorithms have performed well in automating maintenance, and disease detection of apple plants. The paper shows various methodologies of feature extraction, dataset creation, and annotation. We also talk about the evaluation metrics & comparison of results. The purpose of this research is to review various techniques and highlight the possibilities for future development.

Pollution Detection Method Based on AI

Pollution Detection Method Based on AI

With the improvement of technology, AI technology in pollution detection has attracted people's attention. First, analyze the environmental pollution detection model based on AI technology is proposed. Finally, use the experimental analysis method to verify the practical applicability. Results showed that the pollution detection method of IT is more effective, has a larger carrying capacity, and can better ensure the follow-up effect later.

Research on the Distillation Process of Chinese Spirits

Research on the Distillation Process of Chinese Spirits

Chinese spirits is a distilled liquor with a long history. This research paper collects the image datasets of Chinese spirits of various distillation stages. It has attained 86.8% distillation bubble segmentation. This paper gives the way for domestic-related research to improve the intelligence level of the distillation process and improve the production. This research work fills the gap in domestic-related research.

Geographic Access to HIV Care

Geographic Access to HIV Care

Nearly 1 million Americans are living with HIV currently. The RWHAP gives funds for HIV care. By using spatial analysis techniques, the drive time from the center equal to the nearest RWHAP clinic was determined. These results were useful for making specific policy recommendations to improve access and reduce difficulties of HIV care.

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Chat GPT & Google Bard AI: A Review

Chat GPT & Google Bard AI: A Review

Today, AI is providing novel things to learn & do research. Today, research on AI depends on the usage of some goals & some particular tools. In this research work, we have carried out a survey analysis on Chat GPT. With this research work, we have given a vast range of information regarding chatbots and chat GPT.

SLU Forest Map - Mapping Swedish Forests

SLU Forest Map - Mapping Swedish Forests

SLU Forest Maps are maps of the Swedish forest state- stated by the Swedish University of Agricultural Sciences (SLU). It gives publicly available data, free of charge, operational uses in forest management planning, biodiversity assessment, monitoring, and more. This paper gives the SLU forest map, the data, methods used in the production, and an evaluation of the estimation accuracy of each variable.

Thai Beef-Cattle Farm Management System

Thai Beef-Cattle Farm Management System

Beef cattle raising in Thailand has evolved to business farming. The base of beef cattle production is profitable farming. To attain this, farmers must study factors affecting animal production. This study revealed the requirement of farm management and support system with stakeholder and user analysis and the design of beef cattle farming for Thai farmers' context.

A Review on Women Safety in India

A Review on Women Safety in India

Lately, women and girls are facing harassment. It is from society & social media or through any other methods. This paper focuses on the review of women's safety in different social media platforms. This paper focuses on women's safety in social media. Tweets, posts that contain videos & images, and written text that are abusive to the women.

Financial Management of the E-Commerce Industry

Financial Management of the E-Commerce Industry

In a developed economic situation, the e-commerce service industry has improved as a new field. With the rapid development of e-commerce, enterprises are also having great pressure. To develop it better, it needs some good financial capability. This research work proposes and discusses the key problems of financial management of the E-Commerce service industry.

Classification of small sample grape leaves

Classification of small sample grape leaves

Grapes are common fruits. But the varieties are huge. By using Deep Learning, the classification of grapes can be defined. Here, we have taken the CNN-GLS model, and undertaken “5” grapes leaf images. The results showed the accuracy of a small sample od grape leaves identification based on the CNN-GLS model. The accuracy is 95.13%. The model has robustness and high generation ability.

Predicting Breast Cancer Subtypes

Predicting Breast Cancer Subtypes

Lately, Cancer subtyping has provided valuable insights for studying Cancer Heterogeneity. We propose a novel Deep- Learning algorithm “Moanna”. The Moanna model has attained high accuracy in sample prediction ER status (96%), basal-like samples (98%), and classifying samples of PAM50 subtypes. Also, Moanna’s predicted subtypes correlate more strongly with patient survival when compared with the original PAM50 subtypes.

Prediction of Ultrasound Kidney Imaging

Prediction of Ultrasound Kidney Imaging

Deep learning is used in the medical field to detect cancer, diabetes, kidney disease, etc. Kidney disease is one of the major health issues across the globe. If CKD is not diagnosed earlier, it may lead you to dialysis or a Kidney transplant. CNN are used to classify the Chronic Renal Disease in this proposed system. This can be predicted with an accuracy of 95%.

Rhyme detection of Hindi and Rajasthani Poems

Rhyme detection of Hindi and Rajasthani Poems

Poetry can be differentiated by humans even in the absence of special equipment. In this paper, the problem of poetry identification was achieved by Hindi & Rajasthani Corpora. This work first reviews the rhyming detection methodologies and followingly introduces our unique statistical-based approach. It was evaluated against various learning methods using MATLAB.

Design of Impedance-based E. Coli Sensor

Design of Impedance-based E. Coli Sensor

Foodborne illness has emerged as a serious issue. This paper presents the design, fabrication, & characterization of the biosensor detection of E. coli in water. The fabricated interdigital electrodes are used to discriminate between dry & wet conditions by presenting outcomes at low frequencies. This paper provides the guidelines for the detection of E. coli at different concentrations with corresponding impedance ranges.

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Autism Detection using Common Spatial Patterns

Autism Detection using Common Spatial Patterns

Autism shows a varied range of disabilities. To detect autism in 4-7-year-old children, we have recorded magnetoencephalogram signals from 30 autistic and 30 age-matched typically developing children. In frequency band-wise analysis using our proposed method, the high gamma frequency band (50-100 Hz) has shown the highest classification accuracy (97.14%). This work exhibits a spatial brain activation pattern that can be used as a potential biomarkers of autism.

Unsupervised WhatsApp Fake News Detection

Unsupervised WhatsApp Fake News Detection

Today, Social media has become the backbone for all. Whatsapp messenger is one of the well-known social media platforms. It is free & cross messaging software that provides messaging services. The solution contains a semantic search mechanism between each claim associated with news sources. The similarity comparison done by the model predicts the truthfulness of the claim.

E-learning techniques in virtual interior design

E-learning techniques in virtual interior design

Today, we are living in a technological world! This research aims to design “3” E-learning techniques within the virtual studio by advancing the application of educational theories and strategies and developing the skills of interior among students. The research finds novel methodologies for educational techniques that fit the interior design curriculum using virtual studios. This will encourage students to develop ideas and foster creativity.

Architecture and Industrial Engineering

Architecture and Industrial Engineering

Engineering Education is the primary concern for developing future engineers. To attain this goal, we should teach students with the related subjects. All engineering professors can be effective and evaluate students to improve engineering education. In this study, authors have explained what is the way of teaching multi-disciplinary courses in various engineering programs and how to maximize the benefits of these courses.

Russia Passenger Airplane Production

Russia Passenger Airplane Production

For the first time, data are presented on passenger airplane production in the 20th century in the USSR & Russia. Notably, there was a continuation in the growth and production of airplanes. The result shows that the developers responded to this decline with an increase in activity that cannot be considered effective behavior in a time of sales reduction.

Stem Cell Update: Where Are We Now

Stem Cell Update: Where Are We Now?

Stem cells give rise to various cell types. They can repair or replace cells that are missing or dysfunctional. Lately, there are so many clinical trials involved in stem cell therapies. We need a greater understanding of the fundamentals of stem cell biology. we will need a greater understanding of the fundamentals of stem cell biology and the specifics of different disease processes.

Earthworm-inspired multimodal soft actuators

Earthworm-inspired multimodal soft actuators

Earthworms are used to crawl on the ground and burrow through soil by “2” types of muscles. We do research with the interwoven morphology of earthworms’ musculature to form a multimodal soft actuator (MSA). We carried out extensive experiments and characterized the evolution of pressure & elongation of MSA. Lastly, we adopted one of the identified actuation sequences to attain in-pipe locomotion.

Prediction of a Sample DNA Sequence Dataset

Prediction of a Sample DNA Sequence Dataset

DNA is known as the Blueprint of life. Through this paper, we aim to assess DNA evolution by sequencing methods (SM). We carry out a comparative analysis of modern-day DNA SM. We expose the potential of machine learning by taking exploratory and predicting the DNA sequence with the help of a Multinomial Native Bayes Classifier.

Semi-Automatic Tool to Count Mosquito Eggs

Semi-Automatic Tool to Count Mosquito Eggs

Oviposition measurement is one of the widely used methods for monitoring Aedes Aegypti mosquito activity across the globe. This paper proposes the semi- automatic counting of mosquito eggs laid on ovitrap sticks in images obtained by mobiles. We formed a fast semi-automatic counting solution. It helps to focus on the useful image area, shows the confidence of automatic counting numbers, and handles the collection of results.

Detecting Parkinson's disease

Detecting Parkinson's disease

The first sign of Parkinson’s disease (PD) is an abnormality in voice. PD patients are represented by nonlinear dynamic methods. The usage of such an algorithm will have the greatest influence on the development of an e-healthcare system for patients. The best output is CGradient, which possesses 87.39% of accuracy. A feature significance analysis was implemented to discover the key elements to categorize PD patients.

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Early Stage Diabetes Prediction

Early Stage Diabetes Prediction

Nowadays, Diabetes is one of the alarming diseases. Everyone in 11 of the entire population of adults has Diabetes. This paper proposes a new method based on a learning machine for diabetes prediction based on a data questionnaire. It can give an early alert for users to get medical help and they can prevent late diagnosis.

Paddy Yield Monitoring System

Paddy Yield Monitoring System

Rice is playing an important role in the culture & economy of India. This study aimed to form an Internet of Things (IoT) based system to monitor paddy yield. The result established a successful data collection & visualization through the IoT system. This work provides a promising solution for augmenting paddy cultivation practices & decision-making processes through IoT.

Dog Breed Classification by Deep Learning

Dog Breed Classification by Deep Learning

Deep Learning is a part of AI. This paper introduced 8 sets of different data sets of pet dogs. They are classified into training set & test set. Training sets are set to the established model for training. These results of the experiment show that this paper realizes the detection and classification of pet dogs with high detection speed and accuracy. It can reach 94.91%.

An Auto Encoder For Audio Dolphin Communication

An Auto Encoder For Audio Dolphin Communication

Research in Dolphin communication and cognition needs detailed inspection of audible dolphin signals. We propose an autoencoder that are formed from convolution & recurrent layers. The model from the result places patterns in audible dolphin communication. In various experiments, it is proved that the embeddings can be utilized for clustering, signal detection & classification.

Autonomous Water Flow Control & Monitoring System

Autonomous Water Flow Control & Monitoring System

Lately, Water conservation & management is one of the most important things. This paper proposed an autonomous system used for mitigating water wastage using real-time water flow control & monitoring. The designed prototype makes use of IR sensors to cease water discharge from overflowing faucets and taps automatically. This real-time water consumption data can be stored in cloud servers for analytics purposes.

Salt Tester Using Cross-Conductive Sensor

Salt Tester Using Cross-Conductive Sensor

Salt is a mineral used by food industries. Here, sensors such as S1, and S2 have been simulated by using COMSOL MULTIPHYSICS 5.6 software to check the concentration of salt. The result of the experiment matches the results of the simulation. The Gaussian Naïve Bayes-based Machine Learning Algorithm has been implemented to classify salt samples. The machine learning algorithm has attained an accuracy of 93.33%.

Detecting a Honey Bee Hive Robbery

Detecting a Honey Bee Hive Robbery

Honey bee hive robbery is a general occurrence that happens when nectar sources are scarce. This article shows the result of the analysis carried out on audio & video recordings attained at a hive before & after a robbery. Our research shows that there is enough information on the development & progress of a robbery that might help prevent it.

Strawberry Management and Control System

Strawberry Management and Control System

According to Stereo Planting Technology, the growth of strawberries in the greenhouse was monitored & controlled. The factors such as temperature, CO2, light, humidity, and soil needed for strawberries were assessed. The chemical control system sticks to the environmental factors needed for strawberries. So, it is stated that the growth cycle of strawberries can attain the best growth state.

Harnessing Tool for Treating Brain Cancer

Harnessing Tool for Treating Brain Cancer

In the USA, an estimated 700,000 people have been diagnosed with brain tumors. But the majority of these people have benign tumors and 30% of people have malignant tumors. GBM is the common type of malignant brain tumor with an increasing number of cancer patients who are diagnosed with brain metastases, where the cancer has traveled to the brain from other parts of the body.

Visual Detection of Fresh Poultry Egg

Visual Detection of Fresh Poultry Egg

Poultry production depends on the quality of eggs. The system for determining and grading egg quality is not yet fully developed. This paper introduced the design for automatic visual inspection of chicken fresh egg quality both for internal & external quality. According to the 10 sampled tests made, it generated 95% accuracy of accurately detected fresh poultry chicken eggs quality.

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