FFDL: Feature Fusion-Based Deep Learning Method Utilizing Federated Learning for Forged Face Detection by Vinay Gautam, Gaganpreet Kaur, Meena Malik, Ankush Pawar, Akansha Singh, Krishna Kant Singh, S. S. Askar, Mohamed Abouhawwash

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Artificial Intelligence-Based Deep Learning Model for the Performance Enhancement of Photovoltaic Panels in Solar Energy Systems by Radhey Shyam Meena, Anoop Singh, Shilpa Urhekar, null RohitBhakar, Neeraj Kumar Garg, Mohammad Israr, D. P. Kothari, C. Chiranjeevi, Prasath Srinivasan

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Deep Learning and Radiomics in Triple-Negative Breast Cancer: Predicting Long-Term Prognosis and Clinical Outcomes by Cheng C, Wang Y, Zhao J, Wu D, Li H, Zhao H

Subjects: “…deep learning…”
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PREDICTING STOCK PRICE DIRECTION OF EUROZONE BANKS: CAN DEEP LEARNING TECHNIQUES OUTPERFORM TRADITIONAL MODELS? by Bogdan Ionuț ANGHEL

“…The underperformance of LSTM and BiLSTM may be attributed to dataset limitations relative to deep learning requirements. …”
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A Novel Deep Learning Approach for Yarn Hairiness Characterization Using an Improved YOLOv5 Algorithm by Filipe Pereira, Helena Lopes, Leandro Pinto, Filomena Soares, Rosa Vasconcelos, José Machado, Vítor Carvalho

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An Improved Deep Learning-Based Technique for Driver Detection and Driver Assistance in Electric Vehicles with Better Performance by Gunapriya Balan, Singaravelan Arumugam, Suresh Muthusamy, Hitesh Panchal, Hossam Kotb, Mohit Bajaj, Sherif S. M. Ghoneim, null Kitmo

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Multi-dimensional perceptual recognition of tourist destination using deep learning model and geographic information system. by Shengtian Zhang, Yong Li, Xiaoxia Song, Chenghao Yang, Niusha Shafiabady, Robert M X Wu

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Whole slide image based deep learning refines prognosis and therapeutic response evaluation in lung adenocarcinoma by Tao Chen, Jialiang Wen, Xinchen Shen, Jiaqi Shen, Jiajun Deng, Mengmeng Zhao, Long Xu, Chunyan Wu, Bentong Yu, Minglei Yang, Minjie Ma, Junqi Wu, Yunlang She, Yifan Zhong, Likun Hou, Yanrui Jin, Chang Chen

“…In the current study, we developed a deep learning model based on histopathological images to predict the recurrence risk of lung adenocarcinoma patients. …”
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Deep Learning-Based Post-Stroke Myoelectric Gesture Recognition: From Feature Construction to Network Design by Tianzhe Bao, Zhiyuan Lu, Ping Zhou

Subjects: “…Deep learning…”
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Robustly detecting mpox and non-mpox using a deep learning framework based on image inpainting by Yujun Cao, Yubiao Yue, Xiaoming Ma, Di Liu, Rongkai Ni, Haihua Liang, Zhenzhang Li

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A real time monitoring system for accurate plant leaves disease detection using deep learning by Kazi Naimur Rahman, Sajal Chandra Banik, Raihan Islam, Arafath Al Fahim

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Internet of Things Assisted Plant Disease Detection and Crop Management Using Deep Learning for Sustainable Agriculture by Eman A. Al-Shahari, Ghadah Aldehim, Mohammed Aljebreen, Jehad Saad Alqurni, Ahmed S. Salama, Sitelbanat Abdelbagi

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Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

“…Previously, recognition and classification were carried out by hand, but this was a time-consuming operation. Nowadays, deep learning algorithms are frequently employed for recognition and classification tasks. …”
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Adaptive wavelet base selection for deep learning-based ECG diagnosis: A reinforcement learning approach. by Qiao Xiao, Chaofeng Wang

“…While wavelet-based feature extraction has demonstrated effectiveness in deep learning (DL)-based ECG diagnosis, selecting the optimal wavelet base poses a significant challenge, as it directly influences feature quality and diagnostic accuracy. …”
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RETRACTED ARTICLE: Multiclass skin lesion classification using deep learning networks optimal information fusion by Muhammad Attique Khan, Ameer Hamza, Mohammad Shabaz, Seifeine Kadry, Saddaf Rubab, Muhammad Abdullah Bilal, Muhammad Naeem Akbar, Suresh Manic Kesavan

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Real-time detection and monitoring of public littering behavior using deep learning for a sustainable environment by Eaman Alharbi, Ghadah Alsulami, Sarah Aljohani, Waad Alharbi, Somayah Albaradei

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A COMPARATIVE STUDY OF DEEP LEARNING METHODS APPLIED FOR WASTEWATER pH NEUTRALIZATION PROCESS MODELLING by Mădălina Cărbureanu

Subjects: “…deep learning…”
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Research on the generation and annotation method of thin section images of tight oil reservoir based on deep learning by Tao Liu, Zongbao Liu, Kejia Zhang, Chunsheng Li, Yan Zhang, Zihao Mu, Mengning Mu, Mengting Xu, Yue Zhang, Xue Li

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Deep Learning and Automatic Detection of Pleomorphic Esophageal Lesions—A Necessary Step for Minimally Invasive Panendoscopy by Miguel Martins, Miguel Mascarenhas, Maria João Almeida, João Afonso, Tiago Ribeiro, Pedro Cardoso, Francisco Mendes, Joana Mota, Patrícia Andrade, Hélder Cardoso, Miguel Mascarenhas-Saraiva, João Ferreira, Guilherme Macedo

“…Background: Capsule endoscopy (CE) improved the digestive tract assessment; yet, its reading burden is substantial. Deep-learning (DL) algorithms were developed for the detection of enteric and gastric lesions. …”
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Evaluating pre-processing and deep learning methods in medical imaging: Combined effectiveness across multiple modalities by Thien B. Nguyen-Tat, Tran Quang Hung, Pham Tien Nam, Vuong M. Ngo

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