A5047199532- Heart Rate Variability and Autonomic Control
- COVID-19 diagnosis using AI
- EEG and Brain-Computer Interfaces
- Software Engineering Research
- Artificial Intelligence in Healthcare
- Emotion and Mood Recognition
- Software Reliability and Analysis Research
- Machine Learning in Healthcare
- Non-Invasive Vital Sign Monitoring
- ECG Monitoring and Analysis
- Image and Object Detection Techniques
- Software Engineering Techniques and Practices
- Spam and Phishing Detection
- Imbalanced Data Classification Techniques
- Digital Media Forensic Detection
- Medical Image Segmentation Techniques
- Radiomics and Machine Learning in Medical Imaging
- Advanced Software Engineering Methodologies
- Anomaly Detection Techniques and Applications
- AI in cancer detection
- Online Learning and Analytics
- Text and Document Classification Technologies
- Retinal Imaging and Analysis
- Digital Imaging for Blood Diseases
- Forensic Anthropology and Bioarchaeology Studies
Barkatullah University
2019-2024
Madhya Pradesh Bhoj Open University
2022-2024
Vellore Institute of Technology University
2022-2023
Yashwantrao Chavan Maharashtra Open University
2021
Central University of Jharkhand
2014-2016
Birla Institute of Technology, Mesra
2013
Birla Institute of Technology and Science, Pilani
2012
Stress has an impact, not only on a person's physical health, but also the ability to perform at workplace in daily life. The well-established relation between psychological stress and its pathogeneses highlights need for detecting early, order prevent disease advancement save human lives. Electroencephalography (EEG) signal recording tools are widely used collect these signals/brain rhythms form of electric waves. aim current research was apply automatic feature extraction decomposed...
Abstract AI and machine learning are increasingly often applied in the medical industry. The COVID‐19 epidemic will start to spread quickly over planet around of 2020. At hospitals, there were more patients than beds. It was challenging for personnel identify patient who needed treatment right away. A approach is used predict pandemic at high risk. To provide input data output results that execute model on backend, a straightforward Python Flask web application employed. Here, XGBoost...
Recently, there is notable development in usage of online learning resources by the learners. Increasing offerings materials to student creates complexity locate particular data from pools. Likewise, overloaded information makes learner feel difficult access needed information. The reduced with help e-learning Recommendation System (RS). E-learning based RS try suggest perfect depending on previous tasks done him. High internet includes more current E-Learning system. Nowadays, depends Deep...
An electroencephalograph (EEG) tracks and records brain wave sabot. A little size of Metal discs called electrodes. It is connected with wires used to collect electrical impulses in the brain. Afterward, collected signals forwarded store using a computer application. Analysis Stress Levels human while performing different tasks challenging problem that can be utilized healthcare systems applications. In proposed system, new technique for band power selection Fast Fourier Transform(FFT) from...
Chronic heart disease (CHD) is a widespread and persistent health challenge that demands immediate attention. Early detection accurate diagnosis are essential for effective treatment management of this condition. To overcome difficulty, we created state-of-the-art IoT-Based Ambulatory Blood Pressure Monitoring System provides real-time blood pressure readings, systolic, diastolic, pulse rates at predefined intervals. This unique technology comes with module forecasts CHD's early warning...
Metrics are used to help a software engineer in quantitative analysis assess the quality of design before system is built. Object-Oriented (OO) becoming more popular development environment and OO metrics essential parts environment. The primary purpose this paper analytically evaluate against Weyuker’s property empirically validate, proposed inheritance (against three versions same project) that can be measure (especially focus on factors “Reuse” “Design Complexity”) an systems terms using...
The worldwide pandemic of coronavirus disease 2019 (COVID-19) triggers acute respiratory difficulties and breathing disorders in humans. reverse transcription-polymerasssse chain reaction (RT–PCR) examination is generally done for the primary diagnosis COVID-19. Though, it realizes a high false-alarm rate because test during first five days disclosure. But still, medical field hugely relies on skill healthcare professionals to interpret results. Hence, an automatic chest X-ray-based COVID-19...
Cohesion is an Object-Oriented (OO) software design property that helps for the measuring of degree interdependency or connectivity within subsystems a system. Numerous class cohesion metrics can be found in literature. Which metric best suited given situation always critical question. Few are validated empirically against open source projects. The purpose this paper to validate proposed new (CC) using some projects and find effected quality factors. Results conclude CC continuously gives...
This paper presents a new coupling metric (Coup), which is based on the formal definition of methods and variables classes, packages.The proposed has been validated theoretically against Briand properties as well empirically using packages taken from two open source software systems four experienced teams.We measure Coup value by our own CC tool.An attempt also made to present strong correlation between values understandability modified classes results indicate that used predict...