TMBO-AOD: Transparent Mask Background Optimization for Accurate Object Detection in Large-Scale Remote-Sensing Images by Tianyi Fu, Hongbin Dong, Benyi Yang, Baosong Deng

Subjects: “…convolutional neural networks…”
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Accelerating Brain MR Imaging With Multisequence and Convolutional Neural Networks by Zhanhao Mo, He Sui, Zhongwen Lv, Xiaoqian Huang, Guobin Li, Dinggang Shen, Lin Liu, Shu Liao

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A Multi-Scale Feature Extraction Algorithm for Chinese Herbal Medicine Image Classification by Wenbin Dai, Yuxin Ma, Yan Fan, Jun Ma

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From Binary to Multi-Class Classification: A Two-Step Hybrid CNN-ViT Model for Chest Disease Classification Based on X-Ray Images by Yousra Hadhoud, Tahar Mekhaznia, Akram Bennour, Mohamed Amroune, Neesrin Ali Kurdi, Abdulaziz Hadi Aborujilah, Mohammed Al-Sarem

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Multi-Class Classification of Pulmonary Diseases Using Computer Tomography Images by F. Smilianets, О. Finogenov

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SECNN: Squeeze-and-Excitation Convolutional Neural Network for Sentence Classification by Shandong Yuan, Zili Zou, Han Zhou, Yun Ren, Jianping Wu, Kai Yan

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MD-Unet for tobacco leaf disease spot segmentation based on multi-scale residual dilated convolutions by Zili Chen, Yilong Peng, Jiadong Jiao, Aiguo Wang, Laigang Wang, Wei Lin, Yan Guo

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Mitigating Polarization Leakage in Gas Pixel Detectors through Hybrid Machine Learning and Analytic Event Reconstruction by Nicoló Cibrario, Michela Negro, Raffaella Bonino, Nikita Moriakov, Luca Baldini, Niccoló Di Lalla, Alessandro Di Marco, Sergio Fabiani, Andrea Frassá, Alessio Gorgi, Fabio La Monaca, Luca Latronico, Simone Maldera, Alberto Manfreda, Fabio Muleri, Nicola Omodei, John Rankin, Carmelo Sgró, Stefano Silvestri, Paolo Soffitta, Stefano Tugliani

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Advanced Interpretation of Bullet-Affected Chest X-Rays Using Deep Transfer Learning by Shaheer Khan, Nirban Bhowmick, Azib Farooq, Muhammad Zahid, Sultan Shoaib, Saqlain Razzaq, Abdul Razzaq, Yasar Amin

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A New Mask R-CNN-Based Method for Improved Landslide Detection by Silvia Ullo, Amrita Mohan, Alessandro Sebastianelli, Shaik Ahamed, Basant Kumar, Ramji Dwivedi, Ganesh R. Sinha

Subjects: “…Convolutional neural networks (CNNS)…”
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Improving Malaria diagnosis through interpretable customized CNNs architectures by Md. Faysal Ahamed, Md Nahiduzzaman, Golam Mahmud, Fariya Bintay Shafi, Mohamed Arselene Ayari, Amith Khandakar, M. Abdullah-Al-Wadud, S. M. Riazul Islam

Subjects: “…Parallel convolutional neural network (PCNN)…”
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OpenFungi: A Machine Learning Dataset for Fungal Image Recognition Tasks by Anca Cighir, Roland Bolboacă, Teri Lenard

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LoVi App: Android Application-based Image Classification for Low Vision by Mitra Sofiyati, Fandi Azam Wiranata, Wervyan Shalannanda, Eueung Mulyana, Isa Anshori, Ardianto Satriawan

Subjects: “…convolutional neural network…”
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SSDFusion: A Semantic Segmentation Driven Framework for Infrared and Visible Image Fusion by Qishen Lv, Rui Yang, Chengmin Zhang, Shuaihui Liu, Xinyan Fan, Zihao Luo

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Potato Plant Variety Identification Study Based on Improved Swin Transformer by Xue Xing, Chengzhong Liu, Junying Han, Quan Feng, Enfang Qi, Yaying Qu, Baixiong Ma

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Seismic Random Noise Attenuation Using DARE U-Net by Tara P. Banjade, Cong Zhou, Hui Chen, Hongxing Li, Juzhi Deng, Feng Zhou, Rajan Adhikari

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AI-Powered Object Detection in Radiology: Current Models, Challenges, and Future Direction by Abdussalam Elhanashi, Sergio Saponara, Qinghe Zheng, Nawal Almutairi, Yashbir Singh, Shiba Kuanar, Farzana Ali, Orhan Unal, Shahriar Faghani

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Implementation of CNN Algorithm for Indonesian Hoax News Detection on Online News Portals by Clifansi Remi Siwi Hati, Heni Sulistiani

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Faster R-CNN model for target recognition and diagnosis of scapular fractures by Qiong Fang, Anhong Jiang, Meimei Liu, Sen Zhao

Subjects: “…Convolutional neural network…”
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CSTFNet: A CNN and Dual Swin-Transformer Fusion Network for Remote Sensing Hyperspectral Data Fusion and Classification of Coastal Areas by Dekai Li, Harold Neira-Molina, Mengxing Huang, Syam M.S., Yu Zhang, Zhang Junfeng, Uzair Aslam Bhatti, Muhammad Asif, Nadia Sarhan, Emad Mahrous Awwad

Subjects: “…Convolutional neural network (CNN)…”
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