A5081953839- Occupational Health and Safety Research
- Risk and Safety Analysis
- Traffic and Road Safety
- Advanced Statistical Process Monitoring
- Multi-Criteria Decision Making
- Quality and Safety in Healthcare
- Fault Detection and Control Systems
- Reliability and Maintenance Optimization
- Anomaly Detection Techniques and Applications
- Human-Automation Interaction and Safety
- Rough Sets and Fuzzy Logic
- Safety Warnings and Signage
- Mineral Processing and Grinding
- Ergonomics and Musculoskeletal Disorders
- Vehicular Ad Hoc Networks (VANETs)
- Quality Function Deployment in Product Design
- Advanced Statistical Methods and Models
- Industrial Vision Systems and Defect Detection
- Face and Expression Recognition
- Manufacturing Process and Optimization
- Musculoskeletal pain and rehabilitation
- Ergonomics and Human Factors
- Quality and Supply Management
- Non-Invasive Vital Sign Monitoring
- Advanced SAR Imaging Techniques
Indian Institute of Technology Kharagpur
2016-2025
Nazarbayev University
2019
University of Science and Technology Beijing
2019
Indian Institute of Engineering Science and Technology, Shibpur
2004
In this article, two new models, namely granulated RCNN (G-RCNN) and multi-class deep SORT (MCD-SORT), for object detection tracking, respectively from videos are developed. Object has stages: localization (region of interest RoI) classification. G-RCNN is an improved version the well-known Fast Faster extracting RoIs by incorporating unique concept granulation in a convolutional neural network. Granulation with spatio-temporal information enables more accurate extraction (object regions)...
Purpose Within the operations management literature, quality (QM) has been one of most popular research areas over last few decades. The impact QM systems on firm performance subject constant interest and challenge among researchers. Last such review was done in 2002 based QM-related articles published between 1994 1999 these were primarily Total Quality Management (TQM). In 18 years, a large number empirical studies have attempted to investigate system-performance relationships different...
Industrial Internet of Things (IIoT) aims to achieve higher operational and management efficiencies by bridging machinery, equipment, human resources, all other actors involved in an industrial environment. This enables data flow over often complex heterogeneous communication network. It timely decision-making, which affects various aspects the organization such as business, operations, maintenance, safety, stock, logistics. Despite plethora works domain IIoT dealing with above aspects, very...