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View article: A Decision Support System for Machine Learning-Based Determination of Zinc Deficiency: A Study in Adolescent Patients
A Decision Support System for Machine Learning-Based Determination of Zinc Deficiency: A Study in Adolescent Patients Open
Background: Over the past three years, zinc deficiency among adolescents has varied based on region and access to healthcare. Globally, zinc deficiency affects approximately 2 billion people, leading to serious issues such as immune proble…
View article: Classification of Bovine Cumulus-Oocyte Complexes with Convolutional Neural Networks
Classification of Bovine Cumulus-Oocyte Complexes with Convolutional Neural Networks Open
Aim: Determining oocyte quality is crucial for successful fertilization and embryonic development, and there is a serious correlation between live birth rates and oocyte quality. Parameters such as the regular/irregular formation of the cu…
View article: Artificial Intelligence Based Chatbot in E-Health System
Artificial Intelligence Based Chatbot in E-Health System Open
The healthcare sector is undergoing a digital revolution due to the rapid growth of technology, and AI technologies are becoming more commonplace in the sector. Chatbots have become useful resources for people to get advice and information…
View article: A CNN-Based Novel Approach for Classification of Sacral Hiatus with GAN-Powered Tabular Data Set
A CNN-Based Novel Approach for Classification of Sacral Hiatus with GAN-Powered Tabular Data Set Open
Caudal epidural anaesthesia is usually the most well-known technique in obstetrics to deal with chronic back pain. Due to variations in the shape and size of the sacral hiatus (SH), its classification is a crucial and challenging task. Cli…
View article: The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in?
The COVID-19 Pandemic and Artificial Intelligence (AI) Applications in Health: How Much Are We Interested in? Open
Objective New viruses have emerged, causing global damage and mass deaths that can spread to international borders, the latest of which is the new coronavirus (COVID-19). After the Second International Congress on Artificial Intelligence i…
View article: Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment
Customer Churn Prediction Using Ordinary Artificial Neural Network and Convolutional Neural Network Algorithms: A Comparative Performance Assessment Open
Churn studies have been used for many years to increase profitability as well as to make customer-company relations sustainable. Ordinary artificial neural network (ANN) and convolution neural network (CNN) are widely used in churn analysi…
View article: A Comparative Study on COVID-19 Prediction Using Deep Learning and Machine Learning Algorithms: A Case Study on Performance Analysis
A Comparative Study on COVID-19 Prediction Using Deep Learning and Machine Learning Algorithms: A Case Study on Performance Analysis Open
COVID-19 disease has been the most important disease recently and has affected serious number of people in the world. There is not proven treatment method yet and early diagnosis of COVID-19 is crucial to prevent spread of the disease. Lab…
View article: Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications
Internet of Things Technology Based Agricultural Spraying Drone Design for Remote Farming Applications Open
Internet of things and Drones are two new promising innovative technologies which is inevitable in the internet era. These technologies provide modern solutions for many fields. One of these fields is agriculture. Agriculture plays pivot r…
View article: Metagenome Profiling Identifies Potential Biocontrol Agents for Selaginella kraussiana in New Zealand
Metagenome Profiling Identifies Potential Biocontrol Agents for Selaginella kraussiana in New Zealand Open
Metagenomics can be used to identify potential biocontrol agents for invasive species and was used here to identify candidate species for biocontrol of an invasive club moss in New Zealand. Profiles were obtained for Selaginella kraussiana…
View article: A new proposal for early stage diagnosis of urinary tract infection using computers aid systems
A new proposal for early stage diagnosis of urinary tract infection using computers aid systems Open
Hundreds of newborns everyday are affected by urinary tract infection worldwide. Urinary tract infection can cause serious illness over the long term. Early diagnosis is crucial for the treatment of the disease and the health of the newbor…
View article: Realization of Flight Control System in Virtual Reality Environment with Biological Signals
Realization of Flight Control System in Virtual Reality Environment with Biological Signals Open
In this study, anunmanned aerial vehicle was flown on a virtual reality gaming platform with thehelp of commands processed by signal processing methods of biological signals. In thedeveloped application, Matlab signal processing environmen…
View article: Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG
Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG Open
Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive …
View article: Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG
Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG Open
Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive …
View article: Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG
Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG Open
Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive …
View article: Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG
Comparison of Different Time and Frequency Domain Feature Extraction Methods on Elbow Gesture’s EMG Open
Objective:In this study we will get EMG signals from arm for different elbow gestures, than filtering the signal and later classification the signal. The reason for doing is that, EMG signals are used for many rehabilitation and assistive …