A S M FAHIM
Datos Biográficos
| ID | 6955342 |
|---|---|
| NOMBRE | A S M FAHIM |
| NOMBRES | A S M |
| APELLIDO | FAHIM |
| FIRMA | FAHIM A S M |
| AFILIACIONES | University of New Haven |
| VERIFICADO | No |
| TOTAL DE OBRAS | 3 |
| TOTAL DE CITAS | 0 |
| TOTAL COMO AUTOR | 3 |
| TOTAL COMO EDITOR | 0 |
| PRIMER AÑO DE PUBLICACIÓN | 2024 |
| AÑO MÁS RECIENTE DE PUBLICACIÓN | 2025 |
| ÍNDICE H | 0 |
Big Data and Machine Learning for Sustainable Waste Reduction
Purpose: Climate change, rising resource costs, and global policy frameworks like the United Nations Sustainable Development Goals (SDGs) are putting more and more pressure on businesses to adopt sustainable practices. This paper examines the integration of Big Data, data analytics, machine learning (ML), and waste-management strategies to mitigate waste and enhance sustainability across various industries.Methodology: A systematic literature rev…
Big Data and Machine Learning for Sustainable Waste Reduction
Purpose: Climate change, rising resource costs, and global policy frameworks like the United Nations Sustainable Development Goals (SDGs) are putting more and more pressure on businesses to adopt sustainable practices. This paper examines the integration of Big Data, data analytics, machine learning (ML), and waste-management strategies to mitigate waste and enhance sustainability across various industries.Methodology: A systematic literature rev…
Big Data and Machine Learning for Sustainable Waste Reduction
Purpose: Climate change, rising resource costs, and global policy frameworks like the United Nations Sustainable Development Goals (SDGs) are putting more and more pressure on businesses to adopt sustainable practices. This paper examines the integration of Big Data, data analytics, machine learning (ML), and waste-management strategies to mitigate waste and enhance sustainability across various industries.Methodology: A systematic literature rev…
Sin obras prominentes en esta página.
Big Data and Machine Learning for Sustainable Waste Reduction
Purpose: Climate change, rising resource costs, and global policy frameworks like the United Nations Sustainable Development Goals (SDGs) are putting more and more pressure on businesses to adopt sustainable practices. This paper examines the integration of Big Data, data analytics, machine learning (ML), and waste-management strategies to mitigate waste and enhance sustainability across various industries.Methodology: A systematic literature rev…
Big Data and Machine Learning for Sustainable Waste Reduction
Purpose: Climate change, rising resource costs, and global policy frameworks like the United Nations Sustainable Development Goals (SDGs) are putting more and more pressure on businesses to adopt sustainable practices. This paper examines the integration of Big Data, data analytics, machine learning (ML), and waste-management strategies to mitigate waste and enhance sustainability across various industries.Methodology: A systematic literature rev…
Big Data and Machine Learning for Sustainable Waste Reduction
Purpose: Climate change, rising resource costs, and global policy frameworks like the United Nations Sustainable Development Goals (SDGs) are putting more and more pressure on businesses to adopt sustainable practices. This paper examines the integration of Big Data, data analytics, machine learning (ML), and waste-management strategies to mitigate waste and enhance sustainability across various industries.Methodology: A systematic literature rev…
Analytics (3 obras) · Big data (3 obras) · Internet of Things and AI (3 obras) · Resource Efficiency (3 obras) · Sustainability (3 obras) · Investment (military (2 obras) · Sustainable development (2 obras) · Digital and Traditional Archives Management (1 obra) · Investment (military) (1 obra) · Library Science and Administration (1 obra)