Satisfaction of university teachers and students with various face recognition algorithms. by Yan Liu (25061)

Cross-attention module network structure. by Chong Zhang (418677)

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Functional enrichment results for the local module exploited for the seed gene <i>HMMR</i>. by Ehsan Pournoor (11250711)

Bottleneck network in C3 module. by Yuping Yin (3617510)

“…The algorithm aims to enhance long-term attention and dependence during image processing by fusing the large kernel attention module with the C3 module. …”

Python cv coding screenshots of all developed fingerprints on distinct surfaces. by Nisha Yadav (366131)

GO analysis bubble plot for other four modules. by Zongjin Li (38031)

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LSKA module structure diagram. by Xiaozhou Feng (2918222)

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Performance comparison of different mainstream algorithms. by Haisong Xu (141729)

Comparison results of different lightweight modules. by Wenyuan Xu (2553028)

Computational and resource efficiency of different algorithms. by Rui Li (4631)

Algorithm operation steps. by Junyan Wang (4738518)

“…To address these issues, this paper proposes an improved object detection algorithm named SCI-YOLO11, which optimizes the YOLO11 framework from three aspects: feature extraction, attention mechanism, and loss function. …”

Comparison of mAP@0.5 and Recall for mainstream algorithms. by Junjie Lu (160350)

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Siou loss function calculation diagram. by Weiyu Han (3448742)

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VoVGSCSP module structure. by Zhibo Fu (19009854)

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Estimated parameters value for proposed equivalent circuits of the experimental solar module. by Ziad M. Ali (12516532)

Variation of recognition accuracy of modulation signals at different SNR. by Hui Li (32376)

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BOFdat: Generating biomass objective functions for genome-scale metabolic models from experimental data by Jean-Christophe Lachance (6619307)

“…Despite its importance, no standardized computational platform is currently available to generate species-specific biomass objective functions in a data-driven, unbiased fashion. To fill this gap in the metabolic modeling software ecosystem, we implemented BOFdat, a Python package for the definition of a <b>B</b>iomass <b>O</b>bjective <b>F</b>unction from experimental <b>dat</b>a. …”

Policy network (<i>θ</i>′) of SAM to accommodate PPO algorithm. by Zhenhan Huang (12107002)

Adams dense link module. by Xiaojun Wang (50332)

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C3 Module. by Jiexiang Yang (19980594)

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