A5073849385- IoT and Edge/Fog Computing
- COVID-19 diagnosis using AI
- UAV Applications and Optimization
- Advanced Image Processing Techniques
- Blockchain Technology Applications and Security
- Network Security and Intrusion Detection
- Brain Tumor Detection and Classification
- Advanced Malware Detection Techniques
- Image Processing Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Artificial Intelligence in Healthcare
- AI in cancer detection
- Quality and Supply Management
- Advanced Neural Network Applications
- Smart Agriculture and AI
- Hydrology and Drought Analysis
- Stock Market Forecasting Methods
- Sentiment Analysis and Opinion Mining
- Infant Health and Development
- Image and Signal Denoising Methods
- Aluminum Alloys Composites Properties
- Manufacturing Process and Optimization
- Medical Image Segmentation Techniques
- Cloud Computing and Resource Management
- Video Surveillance and Tracking Methods
Vellore Institute of Technology University
2018-2025
Tamil Nadu Agricultural University
2025
PSG INSTITUTE OF TECHNOLOGY AND APPLIED RESEARCH
2013-2024
Annamalai University
2024
National Ilan University
2016-2018
Karunya University
2015
The world population is expected to grow by another two billion in 2050, according the survey taken Food and Agriculture Organization, while arable area likely only 5%. Therefore, smart efficient farming techniques are necessary improve agriculture productivity. land suitability assessment one of essential tools for development. Several new technologies innovations being implemented as an alternative collect process farm information. rapid development wireless sensor networks has triggered...
Virtual reality (VR) has several applications in the medical domain and also generates a secure environment to carry out activities. Evaluation of effectiveness VR among older populations revealed positive effects as tool reduce risks falls improve social emotional well-being adults. The decline physical mental health, loss functional capabilities, weakening ties represent obstacles towards active aging adults indicate need for support. Existing research focused on populations, its uses...
The Internet of Things confers seamless connectivity between people and objects, its confluence with the Cloud improves our lives. Predictive analytics in medical domain can help turn a reactive healthcare strategy into proactive one, advanced artificial intelligence machine learning approaches permeating industry. As subfield ML, deep possesses transformative potential for accurately analysing vast data at exceptional speeds, eliciting intelligent insights, efficiently solving intricate...
The rapid growth of cloud computing environment with many clients ranging from personal users to big corporate or business houses has become a challenge for organizations handle the massive volume data and various resources in cloud. Inefficient management can degrade performance computing. Therefore, must be evenly allocated different stakeholders without compromising organization’s profit as well users’ satisfaction. A customer’s request cannot withheld indefinitely just because...
According to various worldwide statistics, most car accidents occur solely due human error. The person driving a needs be alert, especially when travelling through high traffic volumes that permit high-speed transit since slight distraction can cause fatal accident. Even though semiautomated checks, such as speed detecting cameras and barriers, are deployed, controlling errors is an arduous task. key causes of driver’s include drunken driving, conversing with co-passengers, fatigue,...
Chronic kidney disease (CKD) represents a heavy burden on the healthcare system because of increasing number patients, high risk progression to end-stage renal disease, and poor prognosis morbidity mortality. The aim this study is develop machine-learning model that uses comorbidity medication data obtained from Taiwan’s National Health Insurance Research Database forecast occurrence CKD within next 6 or 12 months before its onset, hence prevalence in population. A total 18,000 people with...
Acute lymphoblastic leukemia (ALL) is the most common type of pediatric malignancy which accounts for 25% all cancers. It a life-threatening disease if left untreated can cause death within few weeks. Many computerized methods have been proposed detection ALL from microscopic cell images. In this paper, we propose hybrid Inception v3 XGBoost model classification acute white blood model, acts as image feature extractor and head. Experiments indicate that performs better than other identified...
Computational visual perception, also known as computer vision, is a field of artificial intelligence that enables computers to process digital images and videos in similar way biological vision does. It involves methods be developed replicate the capabilities vision. The vision’s goal surpass extracting useful information from data. massive data generated today one driving factors for tremendous growth This survey incorporates an overview existing applications deep learning computational...
The unbounded increase in network traffic and user data has made it difficult for intrusion detection systems to be abreast perform well. Intrusion Systems are crucial e-healthcare since the patients' medical records should kept highly secure, confidential, accurate. Any change actual patient can lead errors diagnosis treatment. Most of existing artificial intelligence-based trained on outdated repositories, which produce more false positives require retraining algorithm from scratch support...
The concept of mobile healthcare systems is promising. It based on the cloud connected wireless biomedical wearables. In this scenario, compression, processing, transmission and power effectiveness with precision are key terms. A novel technique presented for arrhythmia identification by processing electrocardiogram signals. solution an effective hybridization multirate QRS selection, variational mode decomposition, features mining from Modes, Metaheuristic optimization machine learning...
Intrauterine fetal demise in women during pregnancy is a major contributing factor prenatal mortality and global issue developing underdeveloped countries. When an unborn fetus passes away the womb 20th week of or later, early detection can help reduce chances intrauterine demise. Machine learning models such as Decision Trees, Random Forest, SVM Classifier, KNN, Gaussian Naïve Bayes, Adaboost, Gradient Boosting, Voting Neural Networks are trained to determine whether health Normal, Suspect,...