A5056052490- Air Quality Monitoring and Forecasting
- Air Quality and Health Impacts
- Vehicle emissions and performance
- Network Security and Intrusion Detection
- Impact of Light on Environment and Health
- Educational Games and Gamification
- Advanced Malware Detection Techniques
- Voice and Speech Disorders
- COVID-19 diagnosis using AI
- Medical Imaging Techniques and Applications
- Radiomics and Machine Learning in Medical Imaging
- Smart Cities and Technologies
- Hand Gesture Recognition Systems
- Artificial Intelligence in Healthcare
- Parkinson's Disease Mechanisms and Treatments
- Business and Economic Development
- Game Theory and Applications
- Advanced X-ray and CT Imaging
- AI in cancer detection
- Smart Grid Security and Resilience
- Human Pose and Action Recognition
- Brain Tumor Detection and Classification
- solar cell performance optimization
- Cloud Computing and Resource Management
- Pancreatic and Hepatic Oncology Research
University of Technology
2024
G Pulla Reddy Dental College & Hospital
2024
Indian Institute of Technology Dhanbad
2023
For an extended period, a technological architecture known as cloud IoT links devices to servers located in data centers. Real-time analytic are made possible by this, enabling better, data-driven decision making, optimization, and risk reduction. Since systems often at considerable distance from devices, the rise of time-sensitive applications has driven requirement extend for timely delivery critical services. Balancing allocation services appropriate edge nodes while guaranteeing low...
The Smart City (SC) framework is popular due to its advancement in enhancing lives and public safety. However, these advancements lead many challenges the dependency of Internet Things (IoT) devices terms electronic waste resource consumption. To address those challenges, integration a weather-smart grid (WSG) with SC becomes crucial safeguard environment residents' well-being. Along concepts, this study proposes novel approach, EcoSense: A Revolution Urban Air Quality Forecasting for...
Parkinson’s disease (PD) is a neurological disorder affecting the nerve cells. PD gives rise to various conditions, including gradual reduction in movement speed, tremors, limb stiffness, and alterations walking patterns. Identifying its initial phases crucial preserving well-being of those afflicted. However, accurately identifying early intricate due aging population. Therefore, this paper, we harnessed machine learning-based ensemble methodologies focused on premotor stage create precise...
According to global data on visual impairment from the World Health Organization in 2010, an estimated 285 million individuals, including 39 who are blind, face impairments. These individuals use non-contact methods such as voice commands and hand gestures interact with user interfaces. Recognizing significance of gesture recognition for this vulnerable population aiming improve usability, study employs a Generative Adversarial Network (GAN) coupled Convolutional Neural (CNN) techniques...
The Smart City (SC) framework has garnered global recognition for its transformative influence on society through innovative solutions. However, the extensive use of Internet Things (IoT) devices in SCs raises concerns regarding electronic waste and resource consumption. Addressing this challenge necessitates integrating smart grid systems to safeguard SC residents' environment well-being. Accurate air quality prediction is essential informed societal decisions, safe transportation, disaster...
During the winter season in India, AQI experiences a decrease due to limited dispersion of APs caused by MFs. Therefore, we developed sophisticated green predictive model GAP, which utilizes our designed technique and customized big dataset. This dataset is derived from weather research tailored forecast future levels Indian subcontinent during winter. has been meticulously curated amalgamating samples MFs concentrations, further adjusted reflect yearly activity data across various states....
<title>Abstract</title> The Smart City (SC) framework, renowned for enhancing lives and bolstering public safety, encounters challenges due to its reliance on IoT devices, contributing electronic waste resource consumption. Integrating weather research a weather-smart grid into the SC framework becomes crucial address these issues safeguard environment residents’ well-being. This study proposes novel approach, <italic>EcoSense: A Revolution in Urban Air Quality Forecasting Cities</italic>,...
<title>Abstract</title> Industrial air pollution stands out as a pressing contemporary issue. Prolonged exposure to pollutants significantly threatens public health, leading severe respiratory and lung disorders. Currently, the regulations governing monitoring control of industrial lack necessary stringency. Therefore, this study encompasses parameters related ambient stack emissions 1 from industries namely: Clearing Air: A M ulti-Objective Approach Air Pollution Prediction with...
To optimize the usage of solar energy, it is an utmost need to run photovoltaic (PV) panels at their maximum power point (MPP), which may be done by applying tracking (MPPT) techniques. However, during partial shading situation p-v curve will have many peaks makes more challenging. The global MPPT cannot properly tracked using conventional control methods. In this study, a novel method called grey wolf algorithm (GWA) described, and levy distribution derived improve convergence GWA. This...
<p>Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate its severe consequences. Our study introduces novel Hyper Heuristic Multi-Chain Model (H<sup>2</sup>MaM) project future quality, considering various meteorological factors (MFs) and pollution-related variables like atmospheric pressure, temperature, humidity, wind patterns. Leveraging 12 units of LSTMs, H<sup>2</sup>MaM accurately predicts forthcoming pollutants...
<p>Air pollution is a critical global concern, demanding precise air quality forecasting to mitigate its severe consequences. Our study introduces novel Hyper Heuristic Multi-Chain Model (H<sup>2</sup>MaM) project future quality, considering various meteorological factors (MFs) and pollution-related variables like atmospheric pressure, temperature, humidity, wind patterns. Leveraging 12 units of LSTMs, H<sup>2</sup>MaM accurately predicts forthcoming pollutants...