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A comparative analysis of Prim, Kruskal, and Reverse-Delete algorithms in optimizing routes within Terengganu’s and Pahang’s attraction road network / Munashahira Mohammad Zahid...
Published 2024“…This study meticulously evaluates each algorithm’s computational efficiency, implementation complexity, and performance in generating optimal routes.…”
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Thesis -
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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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Opposition-based spiral dynamic algorithm with an application to optimize type-2 fuzzy control for an inverted pendulum system
Published 2022“…They are also applied to optimize a type-2 fuzzy logic controller for an inverted pendulum system in comparison to SDA, Spotted Hyena Optimizer, Tunicate Swarm Algorithm, and Sooty Tern Optimization Algorithm. …”
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Real-time optimization and control of 3DOF helicopter system via extremum seeking algorithm
Published 2015“…The real-time optimization of the PID controller gains is performed by the extremum seeking algorithm. …”
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Proceeding Paper -
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Expansion power system transmission using ant colony optimization: article / Izzataswad Ibrahim
Published 2015“…Ant colony optimization represent the behaviour of ant, when ant go outside their nest to find food, ants will leave pheromone to make pheromone such as track to came back to nest[2]. …”
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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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Optimal protection relay coordination for overcurrent relays in radial system / Mohd Azri Kasdi
Published 2018“…The algorithm is applied for radial network. The results of the studies performed will be useful to select the best relay setting in order to optimize the design and to achieve reliable electrical network.…”
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Thesis -
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Thus, future development can be focused on irrigated paddy crops while meeting other constraints and demands to ensure the resources are optimally utilized. The multi-objective optimization solved using MINIMAX algorithm also provides decision-makers with a guideline on how to implement WFE nexus locally in the agricultural sector. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Thus, future development can be focused on irrigated paddy crops while meeting other constraints and demands to ensure the resources are optimally utilized. The multi-objective optimization solved using MINIMAX algorithm also provides decision-makers with a guideline on how to implement WFE nexus locally in the agricultural sector. …”
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Modeling and Optimization of Water�Food�Energy Nexus for Malaysia�s Agricultural Sector
Published 2022“…Thus, future development can be focused on irrigated paddy crops while meeting other constraints and demands to ensure the resources are optimally utilized. The multi-objective optimization solved using MINIMAX algorithm also provides decision-makers with a guideline on how to implement WFE nexus locally in the agricultural sector. …”
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Cross-domain analysis of YOLOv8 and faster R-CNN models for enhanced precision in maritime object detection
Published 2025“…Overall, the findings emphasize the need to carefully select object detection algorithms tailored to dataset characteristics in order to optimize performance across diverse maritime environments.…”
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Robust overlapping community detection in complex networks with graph convolutional networks and fuzzy C-means
Published 2024“…GCNFCM extracts node embeddings from CNs, considering both topology and attributes through a dual-decoder design (inner product and GCN), while FCM is employed for optimal overlapping community detection. Furthermore, FCM is guided by the modularity Q algorithm for accurate community identification without requiring prior knowledge of the community count. …”
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Modified word representation vector based scalar weight for contextual text classification
Published 2024“…To validate this algorithm, the modified word vectors are compared with original LLM-generated word vectors to evaluate their reflection of the intended context. …”
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Thesis -
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State-of-charge estimation for lithium-ion batteries with optimized self-supervised transformer deep learning model
Published 2023“…The Transformer model with transferred weights outperformed models trained from scratch using supervised learning. To select the optimal hyperparameters for the Transformer model, the Tree Parzen Estimator(TPE) optimization in combination with the Hyperband pruning algorithm is employed to search for the best combination that yields the lowest Root Mean Squared Error(RMSE)and Mean Absolute Error (MAE) error metrics. …”
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Medium access control protocol based on time division multiple access scheme for wireless body area network
Published 2024“…WBAN consists of small, low-power, and heterogeneous sensor devices attached inside or outside the body for continuous health monitoring. …”
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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“…Thereby locating the apparent impedance trajectory outside the preset protection coverage as if there was no fault in the system, leading to protection safety compromise. …”
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Industrial datasets with ICS testbed and attack detection using machine learning techniques
Published 2021“…The performance metrics such as accuracy, precision, recall, F1 score are evaluated and cross validated for different ML algorithms for anomaly detection. The decision tree (DT) ML technique is optimized with pruning method which provides an attack detection accuracy of 96.5%. …”
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