Code for MR-based diagnosis of PCNSL حسب Paul Naser (17776497)

Flowchart of the study. حسب Usman Haider (12630481)

"…The RF chain is made to keep the beamforming weights of subarray antenna elements in a TDM fashion. In this paper, two dynamic clustering algorithms are proposed. …"

Channel capacity of MIMO system with variable . حسب Usman Haider (12630481)

"…The RF chain is made to keep the beamforming weights of subarray antenna elements in a TDM fashion. In this paper, two dynamic clustering algorithms are proposed. …"

<b>Microscopy data, analysis code, and segmentation models for Phenotypic drug susceptibility testing for </b><b><i>Mycobacterium tuberculosis </i></b><b>variant</b><b><i> bovis </... حسب Buu Minh Tran (19530787)

"…This study used microfluidic chips, microscopy, and deep neural network algorithms to monitor the growth of <i>Mycobacterium bovis</i> Bacillus Calmette–Guérin (BCG) and <i>Mycobacterium smegmatis</i> in the presence of antibiotics. …"

Data Sheet 1_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf حسب Habtamu Setegn Ngusie (12178327)

"…</p>Conclusion<p>This study underscores the vital role of machine learning algorithms in predicting health facility deliveries. …"

Data Sheet 2_Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques.pdf حسب Habtamu Setegn Ngusie (12178327)

"…</p>Conclusion<p>This study underscores the vital role of machine learning algorithms in predicting health facility deliveries. …"

Schematic diagram of the accuracy of different network models changing with the signal-to-noise ratio. حسب Xiaojun Wang (50332)

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Style transfer effect between illustrations and images of different artistic styles (All images are original creations created by the author). حسب Xiaojun Wang (50332)

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Statistical analysis table. حسب Xiaojun Wang (50332)

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Results of ablation experiment. حسب Xiaojun Wang (50332)

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Comparison of results based on CycleGAN method. حسب Xiaojun Wang (50332)

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Densely linked network. حسب Xiaojun Wang (50332)

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CycleGAN cycle consistency. حسب Xiaojun Wang (50332)

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

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The specific architecture of the FcaNet-cycleGan style transfer method. حسب Xiaojun Wang (50332)

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Adams dense link module. حسب Xiaojun Wang (50332)

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Comprehensive Re, F1 and Pre values of FcaNet-CycleGAN model. حسب Xiaojun Wang (50332)

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

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Settings of related parameters. حسب Xiaojun Wang (50332)

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Comparison of ablation experiment results. حسب Xiaojun Wang (50332)

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