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

Performance of different machine learning algorithms. حسب Apichat Suratanee (634281)

The comparison of results from the proposed architecture and state-of-the-art algorithms on the UNSW-B15, NSL-KDD and KDDCUP’99 dataset. حسب Abdullah Asım Yılmaz (20715311)

Research data for paper: Efficient Event-based Delay Learning in Spiking Neural Networks حسب Balázs Mészáros (16890225)

"…<p dir="ltr">The data in this repository accompanies the paper 'Efficient Event-based Delay Learning in Spiking Neural Networks'</p><p dir="ltr">The data relates to 4 benchmarks:</p><ol><li>Spiking Heidelberg Digits (SHD).…"

Folder with all data and algorithms حسب Jorge Servert Lerdo de Tejada (22290001)

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

الموضوعات:

Video 1_A hybrid elastic-hyperelastic approach for simulating soft tactile sensors.mp4 حسب 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 the GAN–BWGNN HAD algorithm. حسب Ruhan A (12403982)

"…<div><p>In this research, we have proposed a novel anomaly detection algorithm for processing hyperspectral images (HSIs), called the Graph Attention Network–Beta Wavelet Graph Neural Network-based Hyperspectral Anomaly Detection (GAN–BWGNN HAD). …"

Definitions of relevant SSA parameters. حسب Yeping Shi (14279118)

"…Response data are classified and regressed using a sparrow search algorithm (SSA)-optimized backpropagation neural network (BPNN). …"

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

NAR dynamic neural network model. حسب 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 حسب 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. …"

Previously literatures on feature evaluation for relevance based on linear transformation. حسب Jia Liu (41593)

Calculated importance of the features selected based on relevance to MQI. حسب Naiara Virto (20490408)

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

الموضوعات: "…supervised learning algorithms…"

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

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

الموضوعات:

Flowchart of GA-PSO-BP neural network model. حسب 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. …"

Relevant Parameters. حسب Dongyan Wang (195482)

RF Algorithm error rate of the model. حسب 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. …"