Performance of machine learning algorithms. حسب Wenxue Liu (6877754)

Algorithmic experimental parameter design. حسب Chuanxi Xing (20141665)

"…Furthermore, the estimation of the DOA can be accurately carried out under low signal-to-noise ratio conditions. This method effectively utilizes the degrees of freedom provided by the virtual array, reducing noise interference, and exhibiting better performance in terms of positioning accuracy and algorithm stability.…"

Vehicle dynamics model implemented in Simulink. حسب Seung-Min Ryu (21463891)

الموضوعات:

Visual line representation of algorithms with NUM mutation. حسب Jalal- ud-Din (21474307)

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Visual line representation of algorithm with PM mutation. حسب Jalal- ud-Din (21474307)

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Visual representation of ranks of algorithms with PM mutation. حسب Jalal- ud-Din (21474307)

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Visual performance of each algorithm with PM mutation. حسب Jalal- ud-Din (21474307)

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Visual performance of each algorithm with MPTM mutation. حسب Jalal- ud-Din (21474307)

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Visual line representation of algorithm with MPTM mutation. حسب Jalal- ud-Din (21474307)

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Visual performance of each algorithm with NUM mutation. حسب Jalal- ud-Din (21474307)

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Visual representation of ranks of algorithms with MPTM mutation. حسب Jalal- ud-Din (21474307)

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Visual representation of ranks of algorithms with NUM mutation. حسب Jalal- ud-Din (21474307)

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Visual parametric framework for all fifteen algorithms. حسب Jalal- ud-Din (21474307)

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Spatial spectrum of the 100th frame under array distortion conditions (20 elements). حسب Gaoxiang Xing (21755689)

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

Comparison of PSNR values of different algorithms. حسب Xiaojun Wang (50332)

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

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Comparison of SSIM values of different algorithms. حسب Xiaojun Wang (50332)

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

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Overview of the C&CG method. حسب Tianhe Sun (21145341)

"…The model is solved iteratively using the column generation algorithm and strong duality theory. Case studies on a Northeast China power grid demonstrate that, by optimally configuring generation and storage capacity guided by flexibility and other indicators, the proposed method reduces curtailment/load shedding costs and system flexibility insufficiency probability by 45% and 4.3% respectively. …"