A5052964820- Video Surveillance and Tracking Methods
- Image Enhancement Techniques
- IoT and Edge/Fog Computing
- Infrared Target Detection Methodologies
- Fire Detection and Safety Systems
- Advanced Image and Video Retrieval Techniques
- Remote Sensing and Land Use
- Brain Tumor Detection and Classification
- Remote-Sensing Image Classification
- Advanced Vision and Imaging
- Currency Recognition and Detection
- Advanced Neural Network Applications
- Radiomics and Machine Learning in Medical Imaging
- Traffic Prediction and Management Techniques
- Autonomous Vehicle Technology and Safety
- Advanced Algorithms and Applications
- Artificial Intelligence in Healthcare and Education
- Software-Defined Networks and 5G
- Video Analysis and Summarization
- Visual Attention and Saliency Detection
- Cloud Computing and Resource Management
- AI in cancer detection
- Face and Expression Recognition
- COVID-19 diagnosis using AI
- Information Retrieval and Data Mining
Bennett University
2023-2025
Galgotias University
2018-2024
North Eastern Hill University
2020
Conference Board
2020
Jawaharlal Nehru University
2014-2019
Dr. A.P.J. Abdul Kalam Technical University
2017-2019
Motilal Nehru National Institute of Technology
2019
Govind Ballabh Pant University of Agriculture and Technology
2017
Hemwati Nandan Bahuguna Garhwal University
2017
Purpose Cloud users can access services at anytime from anywhere in the world. On average, Google now processes more than 40,000 searches every second, which is approximately 3.5 billion per day. The diverse and vast amounts of data are generated with development next-generation information technologies such as cryptocurrency, internet things big data. To execute applications, it needed to design an efficient scheduling algorithm that considers quality service parameters like utilization,...
Aim: Satellite images are significantly more accessible to collect and include a huge amount of informative data in selected geographical areas. However, because their vast dimensions acquisition procedures, information extraction or segmentation is an extremely complicated procedure. So, this paper proposes satellite image technique extract required that can be applied real-time applications. Background: sources help perceive the earth’s surface relevant changes it. In imaging, crucial as...
Self-driving cars and other autonomous vehicles rely on systems that can recognize follow objects. The ways help people make safe decisions navigate by showing things like people, cars, obstacles, traffic lights. Computer vision algorithms encompass both object detection tracking. Different methods are specifically developed for picture or video analysis not only to identify items within the visual content but also accurately determine their precise locations. This operate independently as...
In the era of Industry 4.0, predictive maintenance has become a cornerstone for ensuring operational efficiency, minimizing downtime, and extending lifespan industrial equipment. This paper presents comprehensive approach to real-time monitoring air compressors using machine learning techniques integrated with Internet Things (IoT) infrastructure. The proposed framework leverages multi-sensor setup continuously collect critical parameters such as temperature, pressure, flow rate from...
In current scenario, the need of surveillance applications, technological improvements, and numbers active real-time systems are increasing continuously throughout world. this research work, we have presented a background subtraction based scheme for moving object detection in video frames. The proposed has strong potential applications consumer electronics real time systems. This work is three different sections, first to model using initial few Second extract with threshold update...
Foreground object detection in video is a fundamental step for automated surveillance system and many computer vision applications. Mostly moving foreground detected by background subtraction techniques. In dynamic background, Gaussian Mixture Model (GMM) performs better detection. this work, GMM based Basic Background Subtraction (BBS) model used modeling. The connected component blob labeling has been to improve the with threshold. Morphological operators are information suitable structure...
Purpose Cloud computing gives several on-demand infrastructural services by dynamically pooling heterogeneous resources to cater users’ applications. The task scheduling needs be done optimally achieve proficient results in a cloud environment. While satisfying the user’s requirements environment, has been proven an NP-hard problem. Therefore, it leaves scope develop new allocation models for aim of study is load balancing method maximize resource utilization Design/methodology/approach In...
The detection of moving object in the presence complex or cluttered background is a very critical challenge.The may be person, patient, vehicle, animal any tissue inside body medical domain.In this context, work has proposed robust subtraction method for resolving illumination variation and motion-based problems.Initially, developed modelling using initial few frames training stage.In testing stage, foreground investigated that able to detect video frames.In classify pixel with suitable...
Affirmation of human faces out still pictures or picture progressions is an as now making research field.There are extensive variety engagements for structures adjusting to the issue face limitation and affirmation e.g.exhibit based video coding, conspicuous confirmation security structures, look area, human-PC connection.The acknowledgment region face, furthermore extraction facial features from photos, fundamental.In view assortments in illumination, establishment, visual point outward...
Communities using Sustainable Energy Systems (RES) seek to meet their electrical needs while reducing reliance on public utilities by integrating renewable energy sources. Additionally, an intelligent micro grid makes it simple access services for controlling use, which might lower utility costs locals. These infrastructures are influenced ML technologies, big data, AI, the IoT, and sensor technologies. New advancements in technology required produce precise learning approaches that can be...