A5101792884- Recycling and Waste Management Techniques
- Environmental Impact and Sustainability
- Fire Detection and Safety Systems
- Advanced Neural Network Applications
- Adsorption and biosorption for pollutant removal
- Video Surveillance and Tracking Methods
- Advanced Measurement and Detection Methods
- Extraction and Separation Processes
- Digital Media Forensic Detection
- Innovation in Digital Healthcare Systems
- Microbial bioremediation and biosurfactants
- Green IT and Sustainability
- Mass Spectrometry Techniques and Applications
- Catalysis for Biomass Conversion
- Autonomous Vehicle Technology and Safety
- CCD and CMOS Imaging Sensors
- Consumer Perception and Purchasing Behavior
- Dye analysis and toxicity
- Water Quality Monitoring and Analysis
- Microplastics and Plastic Pollution
- Infrared Target Detection Methodologies
- Supercapacitor Materials and Fabrication
- Electrospun Nanofibers in Biomedical Applications
- Remote-Sensing Image Classification
- Cultural and Historical Studies
Amazon (Germany)
2025
Galgotias University
2023
Dr. Hari Singh Gour University
2023
Amazon (United States)
2023
University of Petroleum and Energy Studies
2021
Indian Oil Corporation (India)
2017-2018
Institute of Chemical Technology
2015
Indian Institute of Technology Delhi
1984
Copper is one of the most toxic heavy metals having significant effects on living organisms and hence effective removal copper from waste water crucial. The current work investigates application activated watermelon shell based biosorbent for aqueous solution. effect activation using calcium hydroxide citric acid as well operating parameters like contact time, adsorbent dosage, temperature, pH, initial concentration ultrasonic power extent has been investigated. Experiments performed in...
Accurately quantifying greenhouse gas (GHG) emissions is crucial for organizations to measure and mitigate their environmental impact. Life cycle assessment (LCA) estimates the impacts throughout a product's entire lifecycle, from raw material extraction end-of-life. Measuring outside product owner's control challenging, practitioners rely on emission factors (EFs)─estimations of GHG per unit activity─to model estimate indirect impacts. However, current practice manually selecting...
Consumer products contribute to more than 75% of global greenhouse gas (GHG) emissions, primarily through indirect contributions from the supply chain. Measurement GHG emissions associated with is a crucial step toward quantifying impact emission abatement actions. Life cycle assessment (LCA), scientific discipline for measuring estimates environmental each stage product raw material extraction its disposal. Scaling LCA millions challenging as it requires extensive manual analysis by domain...
Advanced Driver-Assistance Systems (ADAS) can help drivers in the driving process and increase safety by automatically detecting objects, doing basic classification, implementing safeguards, etc. ADAS integrates multiple subsystems, including object detection, scene segmentation, lane so on. In this paper, we establish a framework for computer vision features, i.e., distance estimation traffic sign recognition of ADAS. Modern machine learning algorithms like Canny edge detection CNN-based...
Object tracking system is essential for the surveillance of suspicious abandoned objects. Tracking object widely used in many areas such as airports, railway station and on its track, parking lots public transportations to prevent terrorism avoid incident related it. Precise recognition objects an image arena can detect applications using different vision algorithms. In this research paper, we present a multi-object model along with left over baggage detection real time environment. article,...
In order to prevent terrorism, tracking of objects by stationary surveillance cameras is frequently employed for security in public spaces including railway stations, airports, parking lots, and transit. Many applications accurate object detection visual scenes may be found utilizing various vision algorithms. this paper, we describe a model monitoring many simultaneously with the identification unclaimed luggage real-time setting. I recreated backdrop scene from original frame model. After...
Binary detection of photographic images recorded on films with grain clustering has been investigated. The performance is evaluated in terms the SNR, degree and number repetitive samples binary information.