Multi-Scale Channel Distillation Network for Image Compressive Sensing by Tianyu Zhang, Kuntao Ye, Yue Zhang, Rui Lu

Subjects: “…Convolutional neural networks…”
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A Pre-Activation Residual Convolutional Network With Attention Modules for High-Resolution Segmented EEG Emotion Recognition by Ioannis Charalampous, Christos Mavrokefalidis, Kostas Berberidis

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Signal Processing-Free Intelligent Model for Power Quality Disturbances Identification by Mohammed F. Al-Mashdali, Asif Islam, Abdulbasit Hassan, Md Shafiullah, Mujahed Al-Dhaifallah, Khalid Al Fuwail

Subjects: “…Convolutional neural networks (CNN)…”
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AI-driven video summarization for optimizing content retrieval and management through deep learning techniques by Deepali Vora, Payal Kadam, Dadaso D Mohite, Nilesh Kumar, Nimit Kumar, Pratheeik Radhakrishnan, Shalmali Bhagwat

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Minimal sourced and lightweight federated transfer learning models for skin cancer detection by Vikas Khullar, Prabhjot Kaur, Shubham Gargrish, Anand Muni Mishra, Prabhishek Singh, Manoj Diwakar, Anchit Bijalwan, Indrajeet Gupta

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Alzheimer’s disease diagnosis by 3D-SEConvNeXt by Zhongyi Hu, Yuhang Wang, Lei Xiao

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Impacted lower third molar classification and difficulty index assessment: comparisons among dental students, general practitioners and deep learning model assistance by Paniti Achararit, Chawan Manaspon, Chavin Jongwannasiri, Promphakkon Kulthanaamondhita, Chumpot Itthichaisri, Soranun Chantarangsu, Thanaphum Osathanon, Ekarat Phattarataratip, Kraisorn Sappayatosok

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Research on algorithm for improving imaging accuracy of CFRP low speed impact damage by WU Xiangnan, CHENG Xiaojin, LI Qixin, SHANG Jianhua

Subjects: “…convolutional neural network (cnn)…”
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Deep learning and hyperspectral features for seedling stage identification of barnyard grass in paddy field by Siqiao Tan, Qiang Xie, Wenshuai Zhu, Yangjun Deng, Lei Zhu, Xiaoqiao Yu, Zheming Yuan, Zheming Yuan, Yuan Chen, Yuan Chen

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Enhancing lane detection in autonomous vehicles with multi-armed bandit ensemble learning by J. Arun Pandian, Ramkumar Thirunavukarasu, L. Thanga Mariappan

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Image experience prediction for historic districts using a CNN-transformer fusion model by Youping Teng, Weijia Wang

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Integrating multi-source monitoring data and deep convolutional autoencoder technology for slope failure pattern recognition by Nana Han, Nana Han, Wending Miao, Mingzhi Li, Mohd Ashraf Mohamad Ismail, Qiang Hu, Liyuan Duan, Liyuan Duan, Jintao Tang

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Mounting Angle Prediction for Automotive Radar Using Complex-Valued Convolutional Neural Network by Sunghoon Moon, Younglok Kim

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Approximate CNN Hardware Accelerators for Resource Constrained Devices by P Thejaswini, Gautham Suresh, V. Chiraag, Sukumar Nandi

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Overseas short video recommendations: A multimodal graph convolutional network approach incorporating cultural preferences by Xishi Liu, Haolin Wang, Dan Li

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Semantic Tokenization-Based Mamba for Hyperspectral Image Classification by Ri Ming, Na Chen, Jiangtao Peng, Weiwei Sun, Zhijing Ye

Subjects: “…Convolutional neural networks…”
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Fluorescence Lifetime Endoscopy with a Nanosecond Time-Gated CAPS Camera with IRF-Free Deep Learning Method by Pooria Iranian, Thomas Lapauw, Thomas Van den Dries, Sevada Sahakian, Joris Wuts, Valéry Ann Jacobs, Jef Vandemeulebroucke, Maarten Kuijk, Hans Ingelberts

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Latent Graph Induction Networks and Dependency Graph Networks for Events Detection by Jing Yang, Hu Gao, Depeng Dang

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Towards combining self-organizing maps (SOM) and convolutional neural network (CNN) for improving model accuracy: Application to malaria vectors phenotypic resistance by Komi Mensah Agboka, Elfatih M. Abdel-Rahman, Daisy Salifu, Brian Kanji, Frank T. Ndjomatchoua, Ritter A.Y. Guimapi, Sunday Ekesi, Landmann Tobias

Subjects: “…Combining Self-Organizing Maps (SOM) and Convolutional Neural Network (CNN) for improving model accuracy…”
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Development of a Deep Learning‐Assisted Mobile Application for the Identification of Nematodes Through Microscopic Images by Naseeb Singh, Ashish Kumar Singh, L. K. Dhruw, Simardeep Kaur, S. Hazarika, K. K. Mishra, V. K. Mishra, Laxmi Kant

Subjects: “…convolutional neural networks…”
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