Respiratory disease detection in lung auscultation with convolutional neural networks and CVAE augmentation by D.V. Panaskin, S.H. Stirenko, D.S. Babko

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Eddy current modelling using multi-layer perceptron neural networks for detecting surface cracks by Salaheddine Harzallah, R. Rebhi, M. Chabaat, A. Rabehi

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Integrated CNN‐LSTM for Photovoltaic Power Prediction based on Spatio‐Temporal Feature Fusion by Junwei Ma, Meiru Huo, Jinfeng Han, Yunfeng Liu, Shunfa Lu, Xiaokun Yu

Subjects: “…convolutional neural network…”
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Finding Neural Biomarkers for Motor Learning and Rehabilitation Using an Explainable Graph Neural Network by J. Han, A. Embs, F. Nardi, S. Haar, A. A. Faisal

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Prediction of buckling damage of steel equal angle structural members using hybrid machine learning techniques by Nang Xuan Ho, Tien-Thinh Le, The-Hung Dinh, Van-Hai Nguyen

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SAlexNet: Superimposed AlexNet using residual attention mechanism for accurate and efficient automatic primary brain tumor detection and classification by Qurat-ul-ain Chaudhary, Shahzad Ahmad Qureshi, Touseef Sadiq, Anila Usman, Ambreen Khawar, Syed Taimoor Hussain Shah, Aziz ul Rehman

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DETECTING WEB-BASED BOTNETS USING A WEB PROXY AND A CONVOLUTIONAL NEURAL NETWORK by Trần Đắc Tốt, Phạm Tuấn Khiêm, Phạm Nguyễn Huy Phương

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m_AutNet–A Framework for Personalized Multimodal Emotion Recognition in Autistic Children by Asha Kurian, Shikha Tripathi

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Federated Learning for Decentralized DDoS Attack Detection in IoT Networks by Yaser Alhasawi, Salem Alghamdi

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Establishment of an Improved Elman Neural Network Model for Predicting the Corrosion Rate of 3C Steel in Marine Environment and Analysis of the Factors Affecting Model Accuracy by Wenbo Jin, Zhuo Chen, Wanying Liu, Qing Quan, Zongxiao Ren

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Collaboration of clustering and classification techniques for better prediction of severity of heart stroke using deep learning by T. Swathi Priyadarshini, Mohd Abdul Hameed

Subjects: “…Artificial neural network…”
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Characterising the Thematic Content of Image Pixels with Topologically Structured Clustering by Giles M. Foody

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A spiking neural network for active efficient coding by Thomas Barbier, Céline Teulière, Jochen Triesch

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A multi-stage weakly supervised design for spheroid segmentation to explore mesenchymal stem cell differentiation dynamics by Arash Shahbazpoor Shahbazi, Farzin Irandoost, Reza Mahdavian, Seyedehsamaneh Shojaeilangari, Abdollah Allahvardi, Hossein Naderi-Manesh

Subjects: “…Convolutional neural network (CNN)…”
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Leveraging machine learning for enhanced reservoir permeability estimation in geothermal hotspots: a case study of the Williston Basin by Abdul-Muaizz Koray, Emmanuel Gyimah, Mohamed Metwally, Hamid Rahnema, Olusegun Tomomewo

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Probabilistic prediction of aero engine remaining useful life based on Bayesian graph attention transformer by Yanyan HU, Yating BAI

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Use of Attention Maps to Enrich Discriminability in Deep Learning Prediction Models Using Longitudinal Data from Electronic Health Records by Lucía A. Carrasco-Ribelles, Margarita Cabrera-Bean, Jose Llanes-Jurado, Concepción Violán

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Modeling and optimization of dyeing process of polyamide 6 and woolen fabrics with plum-tree leaves using artificial intelligence by Fatemeh Shahmoradi Ghaheh, Milad Razbin, Majid Tehrani, Leila Zolfipour Aghdam Vayghan, Mehdi Sadrjahani

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Learning with noisy labels via clean aware sharpness aware minimization by Bin Huang, Ying Xie, Chaoyang Xu

Subjects: “…Deep neural networks…”
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SecEdge: A novel deep learning framework for real-time cybersecurity in mobile IoT environments by Kamran Ahmad Awan, Ikram Ud Din, Ahmad Almogren, Ali Nawaz, Muhammad Yasar Khan, Ayman Altameem

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