Inverted Generational Distance (IGD) comparison of six algorithms—MOPSO, rNSGA-II, IM-MOEA/D, MOEA/D-FRR-MAB, dMOPSO, and QLNSGA-II—on benchmark test suites. by Zhongfeng Li (3965060)

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Architecture of the LSTM-based sequence-to-sequence model for input-output tree transformation. by Qing Zhu (349093)

Attributes classification based on MSD. by Tamer Abdel Latif Ali (21464041)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Triboelectric Sensors Based on Glycerol/PVA Hydrogel and Deep Learning Algorithms for Neck Movement Monitoring by Bingbing Qu (17603577)

Computational Micromechanics and Machine Learning-Informed Design of Composite Carbon Fiber-Based Structural Battery for Multifunctional Performance Prediction by Mohamad A. Raja (19640297)

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Performance comparison of four optimization methods. by Xuexing Du (20624042)

“…<p>(A) Comparison of running time (in minutes) among four optimization methods for solving the same task in <a href="http://www.ploscompbiol.org/article/info:doi/10.1371/journal.pcbi.1012318#pcbi.1012318.g004" target="_blank">Fig 4E</a>: parallel simulation-based inference (P-SBI), dual annealing (DA), differential evolution (DE), and particle swarm optimization (PSO). …”

The optimized workflow of the proposed SwinFishNet methodology for high-precision FSC across diverse image datasets: by Ebru Ergün (21395498)

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Performance analysis of 500kW solar PV plant based on machine learning algorithms by Karthikeyan Balachandran (20410999)

Temporal response patterns determined by Dirichlet Process-based clustering algorithm across amplitudes and stimuli. by Dinh K. Tang (20469082)

An illustration of the Deepwalk algorithm operation involves a random walk on the graph, resulting in a “walk” sequence, which is then utilized to construct a graph. by Xiaobing Deng (1622233)

Video 1_Development and control of a robotic assistant walking aid for fall risk reduction.mp4 by Marcel Naderer (22434454)

“…Based on these models, PID controllers are optimally tuned using an optimization algorithm to ensure fast and accurate corrective action. …”

Flow chart of the EDR estimation algorithm. by Hongping Wei (196994)

“…Experimental results confirmed that the proposed estimation algorithm exhibits optimal performance compared to EDR estimations based on PCE and VWE, and the estimated values have smaller errors relative to the true EDR values. …”

Details of multiple GWO algorithm variants. by Genliang Li (5816264)

“…To address this, we introduce an Adaptive Mechanism-based Grey Wolf Optimizer (AMGWO) for FS in high-dimensional classification. …”

Urban NEV sales in China. by Xiangtu Li (21156158)

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Monthly Sales Data for Cities. by Xiangtu Li (21156158)

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Sales of City New Energy Vehicles. by Xiangtu Li (21156158)

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Comparison of the prediction results. by Xiangtu Li (21156158)

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