A Novel Hybrid Model for Brain Ischemic Stroke Detection Using Feature Fusion and Convolutional Block Attention Module by Ahmad Abumihsan, Amani Yousef Owda, Majdi Owda, Mobarak Abumohsen, Lampros Stergioulas, Mohammad Ahmad Abu Amer

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Single Vector Hydrophone DOA Estimation: Leveraging Deep Learning with CNN-CBAM by Fanyu ZENG, Yaning HAN, Hongyuan YANG, Dapeng YANG, Fan ZHENG

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CBAM-DeepConvNet: Convolutional Block Attention Module-Deep Convolutional Neural Network for asymmetric visual evoked potentials recognition by Zhouyu Ji, Shuran Li, Hongfei Zhang, Chuangquan Chen, Qian Xu, Junhua Li, Hongtao Wang

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Enhancing agricultural research with an Attention-Based Hybrid Model for precise classification of rice varieties by Nuzhat Noor Islam Prova

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Using Convolutional Block Attention Module for Interpreting the Results of Artificial Neural Networks Operation in Handwritten Signature Identification by V. A. Mishchuk

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Interpretable multitask deep learning model for detecting and analyzing severity of rice bacterial leaf blight by Sudhesh K. M, Aarthi R., Sainamole Kurian. P, Sikha O.K

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BFER-Net: Babies Facial Expression Recognition Model Using ResNet12 Enabled Few-Shot Embedding Adaptation and Convolutional Block Attention Modules by Sumiya Arafin, Adnan Ferdous Ashrafi, Md. Golam Rabiul Alam, Ashis Talukder

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A hybrid attention-based deep learning framework for precise early diagnosis of Alzheimer’s disease by Romoke Grace Akindele, Shixin Cen, Ming Yu, Ifeoluwapo Aribilola, Tian Xinrang, Yu Liu

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An Optimized Cascaded CNN Approach for Feature Extraction From Brain MRIs for Tumor Classification by Santosh Kumar Chhotray, Debahuti Mishra, Sarada Prasanna Pati, Sashikala Mishra

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NIR-RGB-M²Net: A Fusion Model for Precise Agricultural Field Segmentation Using Multisource Remote Sensing Data by Zhankui Tang, Xin Pan, Xiangfei She, Jian Zhao

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A dual-phase deep learning framework for advanced phishing detection using the novel OptSHQCNN approach by Srikanth Meda, Vangipuram Sesha Srinivas, Killi Chandra Bhushana Rao, Repudi Ramesh, Narasimha Rao Yamarthi

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Enhancing pediatric distal radius fracture detection: optimizing YOLOv8 with advanced AI and machine learning techniques by Farid Amirouche, Aashik Mathew Prosper, Majd Mzeihem

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