A Novel Black Widow Optimization Algorithm Based on Lagrange Interpolation Operator for ResNet18 by Peiyang Wei, Can Hu, Jingyi Hu, Zhibin Li, Wen Qin, Jianhong Gan, Tinghui Chen, Hongping Shu, Mingsheng Shang

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MSLI-Net: retinal disease detection network based on multi-segment localization and multi-scale interaction by Zhenjia Qi, Jin Hong, Jilan Cheng, Guoli Long, Hanyu Wang, Siyue Li, Shuangliang Cao

“…Additionally, a multi-segmented lesion localization module (LLM) is integrated within each branch of a modified feature pyramid network (FPN) to effectively extract critical features while suppressing background noise through parallel branch refinement, and a wavelet subband spatial attention module (WSSA) is designed to significantly improve the model’s overall performance in noise suppression by collaboratively processing and exchanging information between the low- and high-frequency subbands extracted through wavelet decomposition.ResultsExperimental evaluation on the OCT-C8 dataset demonstrates that MSLI-Net achieves 96.72% accuracy in retinopathy classification, underscoring its strong discriminative performance and promising potential for clinical application.ConclusionThis model provides new research ideas for the early diagnosis of retinal diseases and helps drive the development of future high-precision medical imaging-assisted diagnostic systems.…”
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GLI-Net: A global and local interaction network for accurate classification of gastrointestinal diseases in endoscopic images by Yuansen Zhang, Mengxiao Zhuang, Wenjun Chen, Xiaoqiu Wu, Qingqing Song

“…By integrating these modules, GLI-Net effectively captures and combines multi-level feature information, which improves both the accuracy and robustness of endoscopic image classification. …”
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Deciphering the Role of Circadian Clock in Inflammatory Response and Immune Disorders Using Model Checking and Petri Nets by Hafeez Ur Rahman, Jamil Ahmad, Ainur Akhmediyarova, Dina Oralbekova, Orken Mamyrbayev

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Research on LiDAR Clear Air Turbulence Recognition Based on Improved SE-ResNet50 by Zibo ZHUANG, Jun CHEN, Peilin HE, Hongying ZHANG, Guohua JIN, Xiong LUO

“…To address the issue of LiDAR’s low turbulence recognition rate at airports in low-altitude areas, a clear air turbulence recognition method based on an improved Squeeze-and-Excitation Residual Network with 50 layers (SE-ResNet50) is proposed. By introducing the squeeze-and-excitation module and improving the network structure, the model’s excessive sensitivity to feature location is reduced, thereby enabling the network to selectively highlight useful information features during the learning process. …”
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FEBE-Net: Feature Exploration Attention and Boundary Enhancement Refinement Transformer Network for Bladder Tumor Segmentation by Chao Nie, Chao Xu, Zhengping Li

“…At present, existing Transformer-based methods have limited ability to restore local detail features and insufficient boundary segmentation capabilities. We propose FEBE-Net, which aims to effectively capture global and remote semantic features, preserve more local detail information, and provide clearer and more precise boundaries. …”
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SAAS-Net: Self-Supervised Sparse Synthetic Aperture Radar Imaging Network with Azimuth Ambiguity Suppression by Zhiyi Jin, Zhouhao Pan, Zhe Zhang, Xiaolan Qiu

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MobDenseNet: A hybrid deep learning model for brain tumor classification using MRI by Meher Afroj, M. Rubaiyat Hossain Mondal, Md Riad Hassan, Sworna Akter

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SonarNet: Global Feature-Based Hybrid Attention Network for Side-Scan Sonar Image Segmentation by Juan Lei, Huigang Wang, Liming Fan, Qingyue Gu, Shaowei Rong, Huaxia Zhang

“…SonarNet features a dual-encoder architecture that leverages residual blocks and a self-attention mechanism to simultaneously capture both global structural and local contextual information. …”
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Hybrid Transformer-EfficientNet Model for Robust Human Activity Recognition: The BiTransAct Approach by Aftab Ul Nabi, Jinglun Shi, Kamlesh, Awais Khan Jumani, Jameel Ahmed Bhutto

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Cyclic Learning Rate U-Shaped ResNet Embedded With Dual Attentions for Velocity Model Building by Chaobo Zhu, Zhiguo Wang, Feipeng Li, Huai Zhang, Jinghuai Gao

“…The DA-ResNet architecture utilizes attention mechanisms to extract cross-gather relationships and capture crucial spatial information from seismic shot gathers. …”
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SqueezeSlimU-Net: An Adaptive and Efficient Segmentation Architecture for Real-Time UAV Weed Detection by Alina L. Machidon, Andraz Krasovec, Veljko Pejovic, Octavian M. Machidon

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PyionNet: Pyramid Progressive Cross-Fusion Network for Joint Classification of Hyperspectral and LiDAR Data by Haizhu Pan, Quanxiu Zhang, Haimiao Ge, Moqi Liu, Cuiping Shi

“…To address these issues, this article proposes a pyramid progressive cross-fusion network, named PyionNet, for joint classification of HS and LiDAR data. …”
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Detection of Shipborne Charging Components and Docking of Shore-Based Manipulator Based on MobileNetV2 by Tenghui XIA, Yueying WANG, Nailong WU, Futeng LIU

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A multitask framework based on CA-EfficientNetV2 for the prediction of glioma molecular biomarkers by Qian Xu, Feng Ning Liang, Ya Ru Cao, Jin Duan, Teng Cui, Teng Zhao, Hong Zhu

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LDDP-Net: A Lightweight Neural Network with Dual Decoding Paths for Defect Segmentation of LED Chips by Jie Zhang, Ning Chen, Mengyuan Li, Yifan Zhang, Xinyu Suo, Rong Li, Jian Liu

“…This paper proposes a lightweight neural network with dual decoding paths for LED chip segmentation, named LDDP-Net. Within the LDDP-Net framework, the receptive field of the MobileNetv3 backbone is modified to mitigate information loss. …”
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Research on maize leaves surface action potential recognition method based on ResNet-18SE by Zengqiang Ren, Fangming Tian, Siqi Wang, Shuqiang Chen

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RL-Net: a rapid and lightweight network for detecting tiny vehicle targets in remote sensing images by Yaoyao Du, Li Chen, Xingxing Hao

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Research on Early Fault Identification of Cables Based on the Fusion of MTF-GAF and Multi-Head Attention Mechanism Features by Hao Wu, Dan Tang, Yuan Cai, Chaowen Zheng

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Formal and Executable Specification of Random Waypoint Mobility Model Using Timed Coloured Petri Nets for WMN by Naeem Akhtar Khan, Farooq Ahmad, Sher Afzal Khan

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