C. Sathish Kumar
Current Organizations / Institutes
The organizations/institutes from the scholar's latest article
Research Subjects
C. Sathish Kumar has a total of 4 co-authors. Here are the top co-authors by number of shared publications:
- A. Sathya
Department of Computer Science, Bishop Heber College (Autonomous) (Affiliated to Bharathidasan University), Trichy, India
1 shared publication - Mehdi Rahman
Faculty of Social Science, Tampere University, Finland
1 shared publication - Robin Deb
Department of Civil, Architectural, and Environmental Engineering, Drexel University, Philadelphia, USA
1 shared publication - S. Silvia Priscila
Bharath Institute of Higher Education and Research, India
1 shared publication
Latest Publications
- 3 March 2024
- Published by Fernando Martins De Bulhão Publishing Company
- Vol. 1 (1) , 10-18
Managing Electronic Waste: A Comprehensive Review of Current State and Challenges
This research study examines e-waste management methods and suggests sustainable solutions. Growing e-waste and its hazardous components demand robust management solutions to reduce environmental and health dangers. This report reviews the literature and analyses current processes to summarise e-waste management’s key issues. The article covers policy, regulation, collection and recycling infrastructure, technology, and public awareness. Policies and regulations shape e-waste management. EPR programs, recycling targets, and import/export laws are covered. These policies are assessed to promote responsible e-waste disposal and producer accountability. E-waste collection and recycling require effective infrastructure. Municipal collection facilities, store take-back, and recycling partnerships are compared. E-waste recycling technologies like mechanical and hydrometallurgical processes are evaluated for efficiency, environmental effect, and resource recovery. The study also evaluates how public awareness campaigns promote e-waste disposal. Effective educational, communal, and digital venues for e-waste recycling are assessed. According to the analysis, e-waste management could be improved. Policy frameworks, stakeholder participation, collecting infrastructure, sustainable recycling technologies, and public awareness are improved. This study paper helps policymakers, industry stakeholders, and researchers understand e-waste management systems and find ways to lessen their environmental and health impacts.
- 3 March 2024
- Published by Fernando Martins De Bulhão Publishing Company
- Vol. 1 (1) , 10-18
Managing Electronic Waste: A Comprehensive Review of Current State and Challenges
This research study examines e-waste management methods and suggests sustainable solutions. Growing e-waste and its hazardous components demand robust management solutions to reduce environmental and health dangers. This report reviews the literature and analyses current processes to summarise e-waste management’s key issues. The article covers policy, regulation, collection and recycling infrastructure, technology, and public awareness. Policies and regulations shape e-waste management. EPR programs, recycling targets, and import/export laws are covered. These policies are assessed to promote responsible e-waste disposal and producer accountability. E-waste collection and recycling require effective infrastructure. Municipal collection facilities, store take-back, and recycling partnerships are compared. E-waste recycling technologies like mechanical and hydrometallurgical processes are evaluated for efficiency, environmental effect, and resource recovery. The study also evaluates how public awareness campaigns promote e-waste disposal. Effective educational, communal, and digital venues for e-waste recycling are assessed. According to the analysis, e-waste management could be improved. Policy frameworks, stakeholder participation, collecting infrastructure, sustainable recycling technologies, and public awareness are improved. This study paper helps policymakers, industry stakeholders, and researchers understand e-waste management systems and find ways to lessen their environmental and health impacts.
- 1 January 2022
- Published by Springer Nature
- p. 220-232
Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine
- 1 January 2022
- Published by Springer Nature
- p. 220-232
Classification of Medical Datasets Using Optimal Feature Selection Method with Multi-support Vector Machine