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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Flowchart of the study. 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 variable . 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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Comparison of the EODA algorithm with existing algorithms in terms of recall. by Sunil Kumar (102321)

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Comparison of the EODA algorithm with existing algorithms in terms of precision. by Sunil Kumar (102321)

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Convergence behavior of different optimization algorithms as feature selectors for SR prediction for (a) dataset-1 and (b) dataset-2. by Ibrahim Al-Shourbaji (20460541)

Comparison of the EODA algorithm with existing algorithms in terms of F1-Score. by Sunil Kumar (102321)

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

Construction process of RF. by Xini Fang (20861990)

“…Finally, an improved RF model is constructed by optimizing the parameters of the RF algorithm. …”

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. …”

Intelligent prediction of short-term photovoltaic power output based on PSO-RF and LASSO-penalized multi-kernel learning-based robust regression algorithm by Zhuoya Siqin (22400264)

“…This paper presents a novel approach to improving the precision of PV power forecasting, based on a LASSO-penalized multi-core learning-based robust regression algorithm with random forest (RF) optimization. This was further enhanced using particle swarm optimization (PSO). …”

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. …”