Convergence curve of the DBO algorithm. by Ma Haohao (22177538)

“…The improved Dung Beetle Optimization algorithm, Back Propagation Neural Network, Finite Element Analysis, and Response Surface Methodology provide a strong guarantee for the selection of robot polishing process parameters. …”

Flowchart of the study. by Usman Haider (12630481)

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Channel capacity of MIMO system with variable . by Usman Haider (12630481)

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ML algorithms in cyber security. by Abdullah Asım Yılmaz (20715311)

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 by Berith Atemoztli De la Cruz Sánchez (21758708)

“…A significant challenge for simulating tactile sensors is balancing the trade-off between accuracy and processing time in simulation algorithms and models. …”

MEA-BP neural network algorithm flowchart. by Dongling Ma (1269888)

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(a) Proposed dynamic low RF-complexity DBF architecture. by Usman Haider (12630481)

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A chart of associated parameters, along with various other miscellaneous parameters [39]. by Usman Haider (12630481)

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Number of selected antennas per group, NLOS street canyon scenario. by Usman Haider (12630481)

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Channel capacity of MIMO system with NLOS street canyon scenario. by Usman Haider (12630481)

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Channel capacity of MIMO system with LOS street canyon scenario. by Usman Haider (12630481)

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Probability of LOS models and average transmit correlation analysis for MIMO system in street canyon and shopping mall scenarios, (a) Probability of LOS models. by Usman Haider (12630481)

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Statistical analysis of the (a) Percentage of several subarrays formed (same as the required number of RF chains). by Usman Haider (12630481)

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Number of selected antennas per group, LOS street canyon scenario. by Usman Haider (12630481)

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The block diagram of the ASO algorithm implementation for inverse modeling. by Ahmad Al-Talabi (21387479)

Process followed to develop and validate the MAMELI algorithm. by Valentina Bollati (106778)

NAR dynamic neural network model. by Zhanni Huang (20577481)

“…Therefore, this article uses the random forest model and XGBoost algorithm to identify core price indicators, and uses an innovative rolling NAR dynamic neural network model to simulate and predict second-hand sailboat price data. …”

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

Subjects: “…bayesian optimization algorithm…”

Supervised Predictive Modeling of High-dimensional Data with Group l0-norm Constrained Neural Networks by Zhihuang Yang (22530437)

“…By leveraging group <math><mrow><msub><mrow><mi>l</mi></mrow><mn>0</mn></msub></mrow></math>-norm constrained neural networks, the proposed approach aims to simultaneously extract crucial features and estimate the underlying model function with statistically guaranteed accuracy. …”

BP neural network topology structure. by Lintao Chen (4634617)

“…Fifty groups were randomly selected using MATLAB for EDEM simulation, and the simulation results were trained using the BP neural network algorithm; an ideal neural network model was obtained, the discrete element parameters of different BFs were predicted, and physical experiments were performed to verify two types of AR and mold hole compression under calibrated parameters. …”