Blar i Institutt for økonomi, markedsføring og jus på forfatter "Alam, M. Afshar"
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Deep Neural Network for EEG Signal-Based Subject-Independent Imaginary Mental Task Classification
Siddiqui, Farheen; Mohammad, Awwab; Alam, M. Afshar; Naaz, Sameena; Agarwal, Parul; Sohail, Shahab Saquib; Madsen, Dag Øivind (Peer reviewed; Journal article, 2023)BACKGROUND: Mental task identification using electroencephalography (EEG) signals is required for patients with limited or no motor movements. A subject-independent mental task classification framework can be applied to ... -
Human-Centric Aggregation via Ordered Weighted Aggregation for Ranked Recommendation in Recommender Systems
Sohail, Shahab Saquib; Aziz, Asfia; Ali, Rashid; Hasan, S. Hamid; Madsen, Dag Øivind; Alam, M. Afshar (Peer reviewed; Journal article, 2023)In this paper, we propose an approach to recommender systems that incorporates human-centric aggregation via Ordered Weighted Aggregation (OWA) to prioritize the suggestions of expert rankers over the usual recommendations. ... -
Toward optimizing scientific workflow using multi-objective optimization in a cloud environment
Ghafir, Shabina; Alam, M. Afshar; Siddiqui, Farheen; Naaz, Sameena; Sohail, Shahab Saquib; Madsen, Dag Øivind (Peer reviewed; Journal article, 2024)Scientific workflows are a common and critical part of scientific computing, involving complex computations and oversized and distributed computing resources. Efficient workflow execution requires scheduling algorithms ...