Mesh Division Schematic Diagram. by Nan Ru (9594384)

Automatic generation of mesh diagrams. by Ronghua Meng (20978441)

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

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

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. …”

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. …”

The FEM mesh model for the three-layer case, where 7919 degrees of freedom are used. by Xiaogang Li (299205)

Licking behaviors and neural firings of the model. by Huu Hoang (9188747)

Subjects: “…supervised learning algorithms…”

The diagram of the LSTM neural network. by Mohd Sakib (20565228)

Neural Network Structure Parameters. by Yu Jie Guang (22184340)

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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. To address this, we propose a hybrid approach that combines elastic and hyperelastic finite element simulations, complemented by convolutional neural networks (CNNs), to generate synthetic tactile maps of a soft capacitive tactile sensor. …”

Flowchart of GA-PSO-BP neural network model. by Jining Wang (3369305)

“…To address this issue, the research employs a genetic-particle swarm optimization (GA-PSO) algorithm and develops a GA-PSO-BP neural network model through the integration of the BP neural network. …”

RF Algorithm error rate of the model. by Halit Tutar (20678455)

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”

Model surface plots in MARS algorithm. by Halit Tutar (20678455)

“…For this purpose, Artificial Neural Networks (ANN), Automatic Linear Model (ALM), Random Forest (RF) Algorithm and Multivariate Adaptive Regression Spline (MARS) Algorithm were used, and the prediction performances of these methods were compared. …”

The complete structure of Kalman filter algorithm. by Junaid Khan (4276162)

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Performance analysis of the proposed model with existing algorithms. by Quxi Kuang (22493270)

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Multi-material topology optimization using scaled boundary finite element method by Mohammed Saif Zamiruddin Siddiqui (22384884)

“…SBFEM is implemented and its performance is tested across different density interpolation-based MMTO methods: the Alternating Active-Phase (AAP) algorithm, SIMP with mapping based interpolation, and polygonal mesh based MMTO, PolyMat which uses Discrete Material Optimization (DMO) combined with Zhang–Paulino–Ramos (ZPR) update scheme. …”

K-shortest path algorithm, finding count, and OD algorithm. by Jin Ki Eom (21192426)

Performance metrics of the Deep Neural Network (DNN) model on training data. by Saim Chishti (22272188)

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Performance metrics of the Recurrent Neural Network (RNN) model on training data. by Saim Chishti (22272188)

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