Statistics of GI data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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Statistics of HEWL data processing using different algorithms at various input CTTDs. by Ki Hyun Nam (5813819)

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GenSearch algorithm. by Tarun Khajuria (12117309)

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Solving process of gradient-based search. by Tarun Khajuria (12117309)

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Training process of HFKG-RFE algorithm. by Chunjuan Li (7890182)

“…Therefore, An Algorithm for Heterogeneous Federated Knowledge Graph (HFKG) is proposed to solve this problem by limiting model drift through comparative learning. …”

Indexing of the serial synchrotron crystallography (SSX) diffraction images of the glucose isomerase (GI) processed using the MOSFLM, DirAx, and XGANDALF algorithms at various crys... by Ki Hyun Nam (5813819)

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Algorithm pseudocode. by Cheng-jie Chen (22272090)

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Indexing of the serial synchrotron crystallography (SSX) diffraction images of the hen egg white lysozyme (HEWL) processed using the MOSFLM, DirAx, and XGANDALF algorithms at vario... by Ki Hyun Nam (5813819)

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Results on solving TSS using different evolutionary and greedy algorithms. by Alexander Andreev (16822333)

“…<p>Results on solving TSS using different evolutionary and greedy algorithms.…”

Solving flow chart of the IBBPSO algorithm. by Kuiyuan Pan (21145338)

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Algorithms runtime comparison. by Meilin Zhu (688698)

“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

Metaheuristic algorithms for solving DNA-related problems. by Eslam Hamouda (5172083)

Flow chart of edge folding algorithm. by Cuiying Zhou (10048078)

Proposed Algorithm. by Hend Bayoumi (22693738)

“…Hence, an Energy-Harvesting Reinforcement Learning-based Offloading Decision Algorithm (EHRL) is proposed. EHRL integrates Reinforcement Learning (RL) with Deep Neural Networks (DNNs) to dynamically optimize binary offloading decisions, which in turn obviates the requirement for manually labeled training data and thus avoids the need for solving complex optimization problems repeatedly. …”

An instance of the IPP that can be solved by applying the algorithms for the DPP. by Jordan Moutet (21800145)

Solution results of different algorithms. by Meilin Zhu (688698)

“…On this basis, considering the changes of customer demands and the speed of distribution network, a partheno-genetic hybrid simulated annealing algorithm is designed to solve the model by using the idea of disruption event processing combining immediate processing and scheduled batch processing. …”

Data embedding by using Neural Quantum Embedding (NQE). by Aninda Astuti (21736334)

The process of the optimization (MIGA). by Shangyang Jin (21772466)

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Convergence curves for all algorithms. by Genliang Li (5816264)

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Parameter Settings for competitive algorithms. by Genliang Li (5816264)

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