Modality Specific CBAM-VGGNet Model for the Classification of Breast Histopathology Images via Transfer Learning by Areesha Ijaz, Basit Raza, Iqra Kiran, Abdul Waheed, Aadil Raza, Habib Shah, Sulaiman Aftan

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The Promise of Artificial Intelligence in Neuroanesthesia: An Update by Zhenrui Liao, Niharika Mathur, Vidur Joshi, Shailendra Joshi

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Charge Diagnostics and State Estimation of Battery Energy Storage Systems Through Transformer Models by Rolando Antonio Gilbert Zequera, Anton Rassolkin, Toomas Vaimann, Ants Kallaste

Subjects: “…Deep learning…”
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Task Offloading with LLM-Enhanced Multi-Agent Reinforcement Learning in UAV-Assisted Edge Computing by Feifan Zhu, Fei Huang, Yantao Yu, Guojin Liu, Tiancong Huang

Subjects: “…multi-agent deep learning…”
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Characterization of adrenal glands on computed tomography with a 3D V-Net-based model by Yuanchong Chen, Yaofeng Zhang, Xiaodong Zhang, Xiaoying Wang

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Monitoring Method for Road Waterlogging Based on Improved YOLOv8 by ZHANG Zheng, ZUO Xiangyang, LONG Yan, HUANG Haocheng, HE Lixin, LEI Xiaohui, WANG Mengqian

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Deep-learning-based extraction of circle of Willis topology with anatomical priors by Dieuwertje Alblas, Iris N. Vos, Micha M. Lipplaa, Christoph Brune, Irene C. van der Schaaf, Mireille R. E. Velthuis, Birgitta K. Velthuis, Hugo J. Kuijf, Ynte M. Ruigrok, Jelmer M. Wolterink

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Investigation of the Role of Machine Learning and Deep Learning in Improving Clinical Decision Making for Musculoskeletal Rehabilitation by Madhu Yadav, Pushpendra Kumar Verma, Sumaiya Ansari

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Botnet detection based on generative adversarial network by Futai ZOU, Yue TAN, Lin WANG, Yongkang JIANG

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Advanced characterization of deforestation frontiers in Nigeria utilizing deep learning and Bayesian approaches with sentinel-1 SAR imagery by Isiaka Lukman Alage, Yumin Tan, Ahmed Wasiu Akande, Agus Suprijanto

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Wearable Regionally Trained AI-Enabled Bruxism-Detection System by Anusha Ishtiaq, Jahanzeb Gul, Zia Mohy Ud Din, Azhar Imran, Khalil El Hindi

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MSD-Net: Multi-scale dense convolutional neural network for photoacoustic image reconstruction with sparse data by Liangjie Wang, Yi-Chao Meng, Yiming Qian

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Ischemic Heart Disease Prognosis: A Hybrid Residual Attention-Enhanced LSTM Model by D. Cenitta, R. Vijaya Arjunan, Ganesh Paramasivam, N. Arul, Anisha Palkar, Krishnaraj Chadaga

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On the Prediction of the Sideslip Angle Using Dynamic Neural Networks by Raffaele Marotta, Salvatore Strano, Mario Terzo, Ciro Tordela

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Air pollution monitoring system based on wireless sensor networks by Natalja Osintsev

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Improving Monocular Depth Estimation Through Knowledge Distillation: Better Visual Quality and Efficiency by Chang Yeop Lee, Dong Ju Kim, Young Joo Suh, Do Kyung Hwang

Subjects: “…Deep learning…”
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HDSA-Net: Haze Density and Semantic Awareness Network for Hyperspectral Image Dehazing by Qianru Liu, Tiecheng Song, Anyong Qin, Yin Liu, Feng Yang, Chenqiang Gao

Subjects: “…Deep learning…”
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Intelligent vulnerability detection system based on graph structured source code slice by Deqing ZOU, Xiang LI, Minhuan HUANG, Xiang SONG, Hao LI, Weiming LI

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Deep learning in defects detection of PV modules: A review by Katleho Masita, Ali Hasan, Thokozani Shongwe, Hasan Abu Hilal

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Exploring the Effectiveness of Machine Learning and Deep Learning Techniques for EEG Signal Classification in Neurological Disorders by Souhaila Khalfallah, William Puech, Mehdi Tlija, Kais Bouallegue

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