Global Electronic-Waste (e-waste) generation is rising far faster than the rate of formally documented collection and recycling, and most Electrical and Electronic Equipment (EEE) end-of-life streams are still sorted manually or diverted to informal, hazard-prone processing routes. Embedded sensing and the Internet of...
Zarzis Ahmed, Mahamudul Hassan Siddique, Bushra Islam Borsha et al.· International Journal of Art...· 0 citations
Organizations increasingly delegate recruitment screening, attrition forecasting, workforce planning, and even task allocation to algorithmic and machine-learning systems, a shift that has outpaced the development of a unified evidence base comparing these mechanisms on efficiency, fairness, and employee-experience gro...
Sanjana Rahman, Mahamudul Hassan Siddique, Shaikh Navid Ahmed et al.· Recent Trends in Artificial...· 0 citations
It is demonstrated that H2O AutoML provides a robust and automated framework for malaria risk prediction, while cluster-specific modeling further improves predictive performance by accounting for population heterogeneity.
A. Khan, Nafisa Mahbub, Ridwan Al Aziz et al.· PLOS Digital Health· 0 citations
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