Search Results - (( model selection _ algorithm ) OR ( using optimization strategical algorithm ))*

SGM: Strategic Game Model for resisting node misbehaviour in IoT-Cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Abdul Rahman, Farah Diyana, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Janin, Zuriati, Rahman, Md Arafatur

“…Adopting an analytical research methodology, the proposed model uses public and private cloud systems for integrating quality service delivery with secure agreements using a Global Trust Controller and core node selection controller to select an intermediate node for data propagation. …”
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Agreement options for negotiation on material location decision of housing development by Utomo, C., Rahmawati, Y.

“…Application of coalition formation for agreement options is used to select the best fit material location. It is based on satisficing game theory rather than optimization. …”
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SGM : Strategic game model for resisting node misbehaviour in IoT-cloud ecosystem by Khan, Burhan Ul Islam, Anwar, Farhat, Farah Diyana, Abdul Rahman, Olanrewaju, Rashidah Funke, Goh, Khang Wen, Zuriati, Janin, Rahman, Md Arafatur

“…Adopting an analytical research methodology, the proposed model uses public and private cloud systems for integrating quality service delivery with secure agreements using a Global Trust Controller and core node selection controller to select an intermediate node for data propagation. …”
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Particle swarm optimization in multi-user orthogonal frequency-division multiplexing systems by Lye, Scott Carr Ken

“…Through modelling of the multiuser OFDM communication system, investigation in simulations shows that adaptive modulation in OFDM uses Channel State Information (CSI) to optimize the sub-carrier modulation scheme. …”
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Addressing overfitting and overestimation challenges in landslide susceptibility modeling : a case study of Penang Island, Malaysia by Dorothy, Martin Atok, Chai, Soo See

“…In comparison, the optimized RF model achieved an SR of 99.7% and a PR of 96.3%, while the stacked models followed closely with an SR of 96.8% and a PR of 95.6%. …”
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Addressing overfitting and overestimation challenges in landslide susceptibility modeling: a case study of Penang Island, Malaysia by Dorothy, Martin Atok, Soo See, Chai

“…In comparison, the optimized RF model achieved an SR of 99.7% and a PR of 96.3%, while the stacked models followed closely with an SR of 96.8% and a PR of 95.6%. …”
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Development of Closed–Loop Supply Chain Network in Terms of Corporate Social Responsibility by Pedram, Ali, Pedram, Payam, Nukman, Yusof, Sorooshian, Shahryar

“…Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. …”
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Development of closed–loop supply chain network in terms of corporate social responsibility by Pedram, A., Pedram, P., Yusoff, N., Sorooshian, S.

“…Moreover the model, in addition to increasing total CLSC profit, provides a range of strategic decision solutions for decision makers to select a best action plan for a CLSC. …”
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Performance Analyses of Nature-inspired Algorithms on the Traveling Salesman’s Problems for Strategic Management by Julius, Beneoluchi Odili, M. N. M., Kahar, Noraziah, Ahmad, M., Zarina, Riaz, Ul Haq

“…Knowledge of the workings of the TSP is very useful in strategic management as it provides useful guidance to planners. …”
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Asset liability management model: The case of selected Islamic banks in Malaysia / Chong Hui Ling by Chong , Hui Ling

“…Algorithms established for the optimisation processes are documented for the study. …”
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Effectiveness of farmers’ professional cooperatives in helping rural revitalization using big data analysis by Ruiqi Zhang, Wong Sing Yun, Siti Hajar Samsu

“…A combined approach of the Back Propagation Neural Network and the Mayfly Optimization Algorithm was put forward in an attempt to promote feature selection and accuracy of prediction for the intricate and multi-layered socioeconomic case. …”
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Dynamic linear programming model for quarterly budget allocation and execution / Rossidah Wan Abdul Aziz by Wan Abdul Aziz, Rossidah

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Prioritisation assessment and robust predictive model for a comprehensive medical equipment maintenance using machine learning techniques / Aizat Hilmi Zamzam by Aizat Hilmi, Zamzam

“…The optimal models are produced by adjusting the selected classifiers' hyperparameters to reduce the misclassification rate during the prediction process. …”
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Development of a new approach for deterministic supply chain network design by Bidhandi, Hadi Mohammadi, Mohd. Yusuff, Rosnah, Megat Ahmad, Megat Mohamad Hamdan, Abu Bakar, Mohd Rizam

“…This paper proposes a mixed integer linear programming model and solution algorithm for solving supply chain network design problems in deterministic, multi-commodity, single-period contexts. …”
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Evaluating critical success factors in AI-driven drug discovery using AHP: a strategic framework for optimization by Mohamed Talib, Amir, Al-Hgaish, Areen Metib, Binti Atan, Rodziah, Alshammari, Abdulaziz, Omar Alomary, Fahad, Yaakob, Razali, Alsahli, Abdulaziz, Osman, Mohd Hafeez

“…This research contributes to strategic AI adoption by addressing data inconsistencies, algorithmic bias, and scalability limitations. …”
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Route optimization using shortest path method / Muhamad Faisal Amin Shakri by Shakri, Muhamad Faisal Amin

“…Each algorithm was tested to compute the shortest path, with results indicating that while all algorithms arrive at the same optimal route, their efficiency differs. …”
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Optimized PV-Battery Systems using Backtracking Search Algorithm for Sustainable Energy Solutions by Abdolrasol M.G.M., Jern Ker P., Hannan M.A., Tiong S.K., Ayob A., Almadani J.F.S.

Greedy-assisted teaching-learning-based optimization algorithm for cost-based hybrid flow shop scheduling by Ullah, Wasif, Mohd Fadzil Faisae, Ab Rashid, Muhammad Ammar, Nik Mu’tasim

“…However, limited attention has been given to CHFS when considering holistic cost models using efficient algorithms. This paper presents a novel Greedy-Assisted Teaching-Learning-Based Optimization (GTLBO) algorithm for CHFS. …”
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Harris Hawk Optimization-Based Deep Neural Networks Architecture for Optimal Bidding in the Electricity Market by Kavita Jain, Muhammed Basheer Jasser, Muzaffar Hamzah, Akash Saxena, Ali Wagdy Mohamed

“…In the power sector, competitive strategic bidding optimization has become a major challenge. …”
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Solving the Traveling Salesman’s Problem using the African Buffalo Optimization by Odili, Julius Beneoluchi, M. N. M., Kahar

“…The results obtained using the African Buffalo Optimization algorithm are very competitive. …”
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