- Energy Efficient Wireless Sensor Networks
- IoT-based Smart Home Systems
- Security in Wireless Sensor Networks
- Advanced MIMO Systems Optimization
- IoT and Edge/Fog Computing
- Energy Harvesting in Wireless Networks
- Cooperative Communication and Network Coding
- Mobile Ad Hoc Networks
- Remote Sensing in Agriculture
- Distributed Control Multi-Agent Systems
- AI in cancer detection
- Wireless Networks and Protocols
- IoT and GPS-based Vehicle Safety Systems
- Water Quality Monitoring Technologies
- Artificial Intelligence in Healthcare
- Robotics and Automated Systems
- Smart Agriculture and AI
- Robotic Path Planning Algorithms
- Digital Imaging for Blood Diseases
- Green IT and Sustainability
- Skin Protection and Aging
- Smart Systems and Machine Learning
- Electrical Fault Detection and Protection
- Fire Detection and Safety Systems
- Optical Imaging and Spectroscopy Techniques
Hospital Kuala Lumpur
2024
Sri Ramachandra Institute of Higher Education and Research
2023-2024
Madras Medical College
2023
Robert Bosch (India)
2021-2022
Rajalakshmi Engineering College
2022
Sri Sivasubramaniya Nadar College of Engineering
2021
National Institute of Technology Calicut
2021
Wireless Sensor Networks (WSNs) can be defined as a cluster of sensors with restricted power supply deployed in specific area to gather environmental data. One the most challenging areas research is design energy-efficient data gathering algorithms large-scale WSNs, each sensor node, general, has limited energy resources. Literature review shows that regards saving, clustering-based techniques for are quite effective. Moreover, head (CH) optimization non-deterministic polynomial (NP) hard...
Microscopic examination of biopsy tissue slides is perceived as the gold-standard methodology for confirmation presence cancer cells. Manual analysis an overwhelming inflow highly susceptible to misreading by pathologists. A computerized framework histopathology image conceived a diagnostic tool that greatly benefits pathologists, augmenting definitive diagnosis cancer. Convolutional Neural Network (CNN) turned out be most adaptable and effective technique in detection abnormal pathologic...
Due to the security vulnerabilities of IoT devices, providing advanced secure connectivity Internet Things (IoT) technologies is a difficult issue. To provide robust data transfer solutions IoT, I have established group key management systems. exchanges between team members facing threats, communication not appropriate in less environment. prevent internet things, this study investigates how manage lightweight that has been successfully distributed. A major effort put into researching...
Wireless Sensor Networks (WSN) are a difficult rising innovation because of their degree, low preparing power, and related vitality. WSN directing contrasts from traditional steering in fixed systems. It needs foundation, has untrustworthy remote connections, sensor hubs may come up short conventions need to meet extreme vitality sparing prerequisites. Information total successfully spares restricted assets. The objective information calculations is assembling collecting proficient way so...
Abstract Lung infection or sickness is one of the most common acute ailments in humans. Pneumonia lung infections, and annual global mortality rate from untreated pneumonia increasing. Because its rapid spread, caused by Coronavirus Disease (COVID-19) has emerged as a danger December 2019. At clinical level, COVID-19 frequently measured using Computed Tomography Scan Slice (CTS) Chest X-ray. The goal this study to develop an image processing method for analyzing CTS patients. images were...
Shopping malls can be crowded, making long checkout lines frustrating. This proposal outlines a "smart cart" system to streamline the billing process. The trolley has RFID reader and camera read tags capture images respectively. two more cameras at sides of objects in rack. accurately detect later product entered into cart. main objective this project is reduce time required for Accounting bill counters. If you want remove added, will need rescan product. In case object not detected by...
This project proposes the development of a RAG Chatbot tailored specifically to assist Alzheimer's patients in managing their memory abnormalities and providing them with answers queries. The chatbot utilizes state-of-the-art natural language processing techniques understand respond patient inquiries, while leveraging enhance relevance accuracy its responses.The primary goal this is provide supportive interactive tool that can help mitigate impact impairment on daily lives. It acts as an...
ABSTRACT With the speedy development of cellular users, conventional mobile network communications could not satisfy requirements rising traffic. The design user association approach should have ability to balance energy saving and traffic hotspot providence from cell sleeping system. Nevertheless, with gradually denser deployment small cells (SCs), HetNets face novel challenges. This work aims introduce a zooming (CZ) scheme that admits EE offloading. Thereby, given model includes two...
The construction industry is undergoing a revolution with the integration of augmented reality (AR) and artificial intelligence (AI). These technologies are transforming way projects planned executed, leading to increased productivity, enhanced design visualization, more informed decision-making. Our research focuses on developing Pseudo World, platform that converts 2D house plans into interactive 3D models, allowing for real-time exploration collaboration through AR. By combining machine...
Navigation has traditionally served the purpose of determining one's position, locating destinations, and charting a course towards them. It furnishes accurate details about whereabouts specific places or objects. Despite numerous advancements enhancements in navigation technology, there have been ongoing discussions its potential for autonomy. This suggests scenario where operates independently, without human intervention. Devices equipped with this capability comprehend their destination...
With the rising interest in space exploration there is a rapid development of spacecraft technology. One biggest issues faced soft landing devices, due to its complex and stochastic nature. This study aims propose solution which solves problem with help self-learning, single-agent system powered by Reinforcement Learning. The Learning agent made act out simulation comprising realistic 2D model lunar surface lander. A comprehensive comparison conducted between Proximal Policy Optimization,...
Introduction: One in four older adults worldwide, suffer from mental health disorders such as depression, anxiety, and dementia, according to the WHO. Studies indicate high rates of dementia among adults, emphasizing need for comprehensive healthcare strategies. Addressing psychosocial morbidities through early identification intervention is crucial improving quality life elderly individuals India.The objective present study prevalence determinants morbidity patients geriatric clinicTop...