A5042100076- Particle physics theoretical and experimental studies
- Evolutionary Algorithms and Applications
- Stock Market Forecasting Methods
- Distributed and Parallel Computing Systems
- Particle Detector Development and Performance
- Neural Networks and Applications
- 3D Shape Modeling and Analysis
- Computer Graphics and Visualization Techniques
- Traffic Prediction and Management Techniques
- Radiation Detection and Scintillator Technologies
- Energy Load and Power Forecasting
- Image Processing and 3D Reconstruction
- 3D Surveying and Cultural Heritage
- Image Retrieval and Classification Techniques
- Municipal Solid Waste Management
- Metaheuristic Optimization Algorithms Research
- Computational Physics and Python Applications
Datta Meghe Institute of Medical Sciences
2024
University of Alabama
2024
Center for Migration Studies of New York
2023
Government Medical College
2019-2020
The way to proficient waste management is guarantee appropriate segregation of ensure its proper reuse. objective this paper identify types wastes generated in India, the nature coming out from different cities, current disposal method being employed there, amount that gets dumped at landfill. These statistics are useful for identifying efficient methods segregate enhance efficiency reusing and recycling process. may justify reason behind expanding number landfills India. Valuable insights...
Deep learning techniques have been proven to provide excellent performance for a variety of high-energy physics applications, such as particle identification, event reconstruction and trigger operations. Recently, we developed an end-to-end deep approach identify various particles using low-level detector information from collisions. These models will be incorporated in the CMS software framework (CMSSW) enable their use or operation real time. Incorporating these computational tools...
Deep learning techniques have been proven to provide excellent performance for a variety of high-energy physics applications, such as particle identification, event reconstruction and trigger operations. Recently, we developed an end-to-end deep approach identify various particles using low-level detector information from collisions. These models will be incorporated in the CMS software framework (CMSSW) enable their use or operation real-time. Incorporating these computational tools...