Time-frequency transformation integrated with a lightweight convolutional neural network for detection of myocardial infarction by Kashvi Ankitbhai Sheth, Charvi Upreti, Manas Ranjan Prusty, Sandeep Kumar Satapathy, Shruti Mishra, Sung-Bae Cho

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Efficient Convolutional Neural Network Model for the Taxonomy and Sex Identification of Three Phlebotomine Sandfly Species (Diptera, Psychodidae, and Phlebotominae) by Mohammad Fraiwan

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Data-Driven Optimized Load Forecasting: An LSTM-Based RNN Approach for Smart Grids by Muhammad Asghar Majeed, Sotdhipong Phichaisawat, Furqan Asghar, Umair Hussan

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A Deep Learning Approach for Multiclass Attack Classification in IoT and IIoT Networks Using Convolutional Neural Networks by Ali Abdi Seyedkolaei, Fatemeh Mahmoudi, José García

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Lightweight Fire Detection in Tunnel Environments by Shakhnoza Muksimova, Sabina Umirzakova, Dilnoza Abduxalikovna Babaraximova, Young Im Cho

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Exploring single-head and multi-head CNN and LSTM-based models for road surface classification using on-board vehicle multi-IMU data by Luis A. Arce-Saenz, Javier Izquierdo-Reyes, Rogelio Bustamante-Bello

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Multi-Domain Feature Incorporation of Lightweight Convolutional Neural Networks and Handcrafted Features for Lung and Colon Cancer Diagnosis by Omneya Attallah

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Emerging Technologies for Precision Crop Management Towards Agriculture 5.0: A Comprehensive Overview by Mohamed Farag Taha, Hanping Mao, Zhao Zhang, Gamal Elmasry, Mohamed A. Awad, Alwaseela Abdalla, Samar Mousa, Abdallah Elshawadfy Elwakeel, Osama Elsherbiny

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Review of Synthetic Aperture Radar Automatic Target Recognition: A Dual Perspective on Classical and Deep Learning Techniques by Jakub Slesinski, Damian Wierzbicki

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Enhancing skin lesion classification: a CNN approach with human baseline comparison by Deep Ajabani, Zaffar Ahmed Shaikh, Amr Yousef, Karar Ali, Marwan A. Albahar

Subjects: “…Convolutional neural networks…”
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Estimating Automobile Crash Characteristics from Images using Deep Learning by Daniel Silver, Hardik Manek, Matthew Kay, Paul Travis

Subjects: “…convolutional neural networks…”
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EFCNet enhances the efficiency of segmenting clinically significant small medical objects by Lingjie Kong, Qiaoling Wei, Chengming Xu, Xiaofeng Ye, Wei Liu, Min Wang, Yanwei Fu, Han Chen

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Attention-Enhanced CNN for High-Performance Deepfake Detection: A Multi-Dataset Study by Subhram Dasgupta, Kushal Badal, Swetha Chittam, Md Tasnim Alam, Kaushik Roy

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Ensemble learning for biomedical signal classification: a high-accuracy framework using spectrograms from percussion and palpation by Abdul Karim, Semin Ryu, In cheol Jeong

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Advanced Defect Detection in Wrap Film Products: A Hybrid Approach with Convolutional Neural Networks and One-Class Support Vector Machines with Variational Autoencoder-Derived Cov... by Tatsuki Shimizu, Fusaomi Nagata, Maki K. Habib, Koki Arima, Akimasa Otsuka, Keigo Watanabe

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Improving CNN predictive accuracy in COVID-19 health analytics by Tae-hoon Kim, Asadi Srinivasulu, Ravikumar Chinthaginjala, Dhakshayani J, Xin Zhao, Safia Obaidur Rab, Sivarama Prasad Tera

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Role of Artificial Intelligence in the Diagnosis and Management of Pulmonary Embolism: A Comprehensive Review by Ahmad Moayad Naser, Rhea Vyas, Ahmed Ashraf Morgan, Abdul Mukhtadir Kalaiger, Amrin Kharawala, Sanjana Nagraj, Raksheeth Agarwal, Maisha Maliha, Shaunak Mangeshkar, Nikita Singh, Vikyath Satish, Sheetal Mathai, Leonidas Palaiodimos, Robert T. Faillace

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Transforming 3D MRI to 2D Feature Maps Using Pre-Trained Models for Diagnosis of Attention Deficit Hyperactivity Disorder by Elahe Hosseini, Seyyed Ali Hosseini, Stijn Servaes, Brandon Hall, Pedro Rosa-Neto, Ali-Reza Moradi, Ajay Kumar, Mir Mohsen Pedram, Sanjeev Chawla

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AI-Driven Electrical Fast Transient Suppression for Enhanced Electromagnetic Interference Immunity in Inductive Smart Proximity Sensors by Silvia Giangaspero, Gianluca Nicchiotti, Philippe Venier, Laurent Genilloud, Lorenzo Pirrami

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Vibration Signal-Based Fault Diagnosis of Rotary Machinery Through Convolutional Neural Network and Transfer Learning Method by Chirag Mongia, Shankar Sehgal

Subjects: “…convolutional neural networks (CNNs)…”
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