Bayesian deep learning applied to diabetic retinopathy with uncertainty quantification by Masoud Muhammed Hassan, Halbast Rashid Ismail

Subjects: “…Bayesian deep learning…”
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Low-Cost Driver Monitoring System Using Deep Learning by Hady A. Khalil, Sherif A. Hammad, Hossam E. Abd El Munim, Shady A. Maged

Subjects: “…Deep learning…”
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Deep Learning Based on Residual Networks for Automatic Sorting of Bananas by Abdulkader Helwan, Mohammad Khaleel Sallam Ma’aitah, Rahib H. Abiyev, Selin Uzelaltinbulat, Bengi Sonyel

“…This study presents the design of an intelligent system based on deep learning for grading fruits. For this purpose, the recent residual learning-based network “ResNet-50” is designed to sort out fruits, particularly bananas into healthy or defective classes. …”
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Predicting metabolite response to dietary intervention using deep learning by Tong Wang, Hannah D. Holscher, Sergei Maslov, Frank B. Hu, Scott T. Weiss, Yang-Yu Liu

“…Existing prediction methods are typically limited to traditional machine learning models. Deep learning methods dedicated to such tasks are still lacking. …”
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Lip print‐based identification using traditional and deep learning by Wardah Farrukh, Dustin van derHaar

“…This article compares traditional and deep learning computer vision methods and how they perform on a common dataset for lip‐based identification. …”
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Design and structure of overlapping regions in PCA via deep learning by Yan Zheng, Xi-Chen Cui, Fei Guo, Ming-Liang Dou, Ze-Xiong Xie, Ying-Jin Yuan

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Fingerprinting Indoor Positioning Based on Improved Sequential Deep Learning by Dongfang Mao, Haojie Lin, Xuyang Lou

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A Deep Learning Approach for Mental Fatigue State Assessment by Jiaxing Fan, Lin Dong, Gang Sun, Zhize Zhou

“…This study investigates mental fatigue in sports activities by leveraging deep learning techniques, deviating from the conventional use of heart rate variability (HRV) feature analysis found in previous research. …”
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Enhancing thyroid nodule assessment with deep learning and ultrasound imaging by Jatinder Kumar, Surya Narayan Panda, Devi Dayal, Manish Sharma

Subjects: “…Deep learning…”
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Deep-Learning-Based Bughole Detection for Concrete Surface Image by Gang Yao, Fujia Wei, Yang Yang, Yujia Sun

“…This paper proposed a deep-learning-based method to detect bugholes on concrete surface images. …”
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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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Popular Song Composition Based on Deep Learning and Neural Network by Jun Kuang, Tingfeng Yang

“…This article combines deep learning to extract note features from the demonstration audio and builds a neural network model to complete the composition of popular music. …”
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A privacy-enhanced framework with deep learning for botnet detection by Guangli Wu, Xingyue Wang

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Complex Deep Learning and Evolutionary Computing Models in Computer Vision by Li Zhang, Chee Peng Lim, Jungong Han

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Interpretable and integrative deep learning for discovering brain-behaviour associations by Corentin Ambroise, Antoine Grigis, Josselin Houenou, Vincent Frouin

“…Multi-view unsupervised learning frameworks, particularly deep learning models, present promising solutions for integrating and analysing complex datasets. …”
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Comparison of Deep Learning Techniques in Detection of Sickle Cell Disease. by Mabirizi, Vicent, Kawuma, Simon, Kyarisiima, Addah, Bamutura, David, Atwiine, Barnabas, Nanjebe, Deborah, Oyesigye, Adolf Mukama

Subjects: “…Deep Learning…”
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Deep learning to decode sites of RNA translation in normal and cancerous tissues by Jim Clauwaert, Zahra McVey, Ramneek Gupta, Ian Yannuzzi, Venkatesha Basrur, Alexey I. Nesvizhskii, Gerben Menschaert, John R. Prensner

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Retracted: Deep-Learning-Guided Student Intelligent Classroom Management System by Applied Bionics and Biomechanics

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Retracted: Application of Improved Deep Learning Method in Intelligent Power System by International Transactions on Electrical Energy Systems

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A Novel Balancing Method for Rotor Using Unsupervised Deep Learning by Shun Zhong, Liqing Li, Huizheng Chen, Zhenyong Lu

“…A novel balancing method for rotor based on unsupervised deep learning is proposed in this paper. The architecture of the proposed deep network is described. …”
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