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

Comparison of different optimization algorithms. حسب Hang Zhao (143592)

الموضوعات: "…crayfish optimization algorithm…"

Algorithm training accuracy experiments. حسب Yingying Liu (360782)

Kappa coefficients for different algorithms. حسب Yingying Liu (360782)

The genetic algorithm. حسب Viktoria Zemliak (19500335)

Computational Domain: The computational domain was discretized using conformal tetrahedral elements, resulting in a total of 926K elements. حسب Martina Bukač (20161460)

The optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Optimal number of clusters identified using the GMM clustering algorithm. حسب Dinh K. Tang (20469082)

Convergence curve of the DBO algorithm. حسب 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. …"

Data and code resources. حسب Sam Hall-McMaster (10343795)

"…Neither model-free perseveration or model-based control using a complete model of the environment could explain choice behavior. …"

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

"…<p>The average neuronal activity for each cluster of the Contact <b>(a)</b>, Rough <b>(b)</b> and Smooth stimulus <b>(c)</b> were determined using the Dirichlet Process Mixture Model (DPM) clustering algorithm. …"

Changes in FID values of different algorithms. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

Changes in loss values for different algorithms. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

Network structure of CycleGAN model. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

CSSI Elements: Multi-GPU and Network Modeling and Simulation in SST حسب Kishwar Ahmed (21792083)

"…First, it will create a single GPU model in SST. Second, the project will address a critical need in the field by developing a multi-GPU simulation model that supports state-of-the-art GPU networking, interconnects, and communication. …"

Comparison of grayscale conversion algorithms. حسب Tianke Fang (22648035)

Comparison of noise reduction algorithms. حسب Tianke Fang (22648035)

Generator network and discriminator network. حسب Xiaojun Wang (50332)

"…The model comprehensively utilizes the image restoration and style transfer capabilities of the attention mechanism and the cycle consistency adversarial network, and introduces an improved attention module, which can adaptively highlight the key visual elements in the illustration, thereby maintaining artistic integrity during the style transfer process. …"

Dataset for Fine-Tuning Code Generation Models: Kannada-English Algorithmic Statements and Python Code حسب Goutami Sooda (20714729)

Temporal response patterns determined by the GMM clustering algorithm across varying primary stimulus parameters (amplitude or onset ramp velocity) of all test stimuli. حسب Dinh K. Tang (20469082)