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Pareto-optimal algorithm in bilateral automated negotiation
Published 2011“…In this paper we present a Pareto-optimal algorithm in bilateral automated negotiation where the negotiation is modeled by "split the pie" game and alternating-offer protocol. …”
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Application of reinforcement learning to wireless sensor networks: models and algorithms
Published 2015“…This article presents how most schemes in WSNs have been approached using the traditional and enhanced RL models and algorithms. It also presents performance enhancements brought about by the RL algorithms, and open issues associated with the application of RL in WSNs. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Reports so far have only implemented the WFE nexus in countries and cities outside of Malaysia. In addition, there is yet to be a model in literature revolving only on optimizing the agricultural sectorâ��s resources distribution. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Reports so far have only implemented the WFE nexus in countries and cities outside of Malaysia. In addition, there is yet to be a model in literature revolving only on optimizing the agricultural sectorâ��s resources distribution. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Reports so far have only implemented the WFE nexus in countries and cities outside of Malaysia. In addition, there is yet to be a model in literature revolving only on optimizing the agricultural sectorâ��s resources distribution. …”
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…The outcome is an optimized Transformer model that scores the lowest errorofRMSE≈1.12%. …”
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Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection
Published 2025“…Cross-domain analysis revealed substantial performance degradation when models were applied outside their training domain, underscoring the importance of robust domain adaptation strategies. …”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…For this experiment, the modified word vectors serve as input to train a Machine Learning (ML) model for the text classification process, aiming for the developed ML model to have a significantly smaller parameter count. …”
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Digital Quran With Storage Optimization Through Duplication Handling And Compressed Sparse Matrix Method
Published 2024thesis::doctoral thesis -
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Machine-learning-based adaptive distance protection relay to eliminate zone-3 protection under-reach problem on statcom-compensated transmission lines
Published 2020“…The BayesNet provides the best integrated MLADR fault classifier model better at a 5 % significance level than other deployed algorithms in the intelligent supervised learning model realization. …”
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