Drug repositioning framework using embedding drug-protein-disease similarities with graph convolution network and ensemble learning by Hanaa Torkey, Heba El-Behery, Abdel-Fattah Atti, Nawal El-Fishawy

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Aviation Fuel Pump Fault Diagnosis Based on Conditional Variational Self-Encoder Adaptive Synthetic Less Data Enhancement by Tiejun Liu, Yaoping Zhang, Xiaojing Yin, Weidong He

Subjects: “…conditional variational autoencoder adaptive synthetic…”
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Predicting drug protein interactions based on improved support vector data description in unbalanced data by Alireza Khorramfard, Jamshid Pirgazi, Ali Ghanbari Sorkhi

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Mapping Data to Concepts: Enhancing Quantum Neural Network Transparency with Concept-Driven Quantum Neural Networks by Jinkai Tian, Wenjing Yang

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Drone Flight Detection at an Entrance to a Beehive Based on Audio Signals by Urszula LIBAL, Paweł BIERNACKI

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Data Quality Monitoring for the Hadron Calorimeters Using Transfer Learning for Anomaly Detection by Mulugeta Weldezgina Asres, Christian Walter Omlin, Long Wang, David Yu, Pavel Parygin, Jay Dittmann, the CMS-HCAL Collaboration

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A Comparative Study of Two-Stage Intrusion Detection Using Modern Machine Learning Approaches on the CSE-CIC-IDS2018 Dataset by Isuru Udayangani Hewapathirana

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Advanced Deep Learning Framework for Predicting the Remaining Useful Life of Nissan Leaf Generation 01 Lithium-Ion Battery Modules by Shamaltha M. Wickramaarachchi, S. A. Dewmini Suraweera, D. M. Pasindu Akalanka, V. Logeeshan, Chathura Wanigasekara

Subjects: “…autoencoder…”
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Machine learning for experimental design of ultrafast electron diffraction by Mohammad Shaaban, Sami El-Borgi, Aravind Krishnamoorthy

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Data-driven reduced-order modeling of nonlinear multivalued FRFs: Applications to beam and SDOF gear systems by Hady Mohamed, Nils Brödling, Fabian Duddeck

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Enhanced multiple sclerosis diagnosis by MRI image retrieval using convolutional autoencoders by R.M. Haggag, Eman M. Ali, M.E. Khalifa, Mohamed Taha

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A Case Study on Monolith to Microservices Decomposition with Variational Autoencoder-Based Graph Neural Network by Rokin Maharjan, Korn Sooksatra, Tomas Cerny, Yudeep Rajbhandari, Sakshi Shrestha

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An Innovative Study for Tool Wear Prediction Based on Stacked Sparse Autoencoder and Ensemble Learning Strategy by Zhaopeng He, Tielin Shi, Xu Chen

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Trust Decay-Based Temporal Learning for Dynamic Recommender Systems With Concept Drift Adaptation by Hartatik, Lukman Heryawan, Reza Pulungan

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Simulating clinical features on chest radiographs for medical image exploration and CNN explainability using a style-based generative adversarial autoencoder by Kyle A. Hasenstab, Lewis Hahn, Nick Chao, Albert Hsiao

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River Channel Microgeomorphic Feature Extraction and Potential Sandstorm Source Identification Method Based on a Convolutional Autoencoder Model by Kecong Wu, Lirong Chen, Yalige Bai, Xinhang Wang, Danzeng Pingcuo, Zhongpeng Han, Chengshan Wang

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Enhancing Border Learning for Better Image Denoising by Xin Ge, Yu Zhu, Liping Qi, Yaoqi Hu, Jinqiu Sun, Yanning Zhang

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A tied-weight autoencoder for the linear dimensionality reduction of sample data by Sunhee Kim, Sang-Ho Chu, Yong-Jin Park, Chang-Yong Lee

Subjects: “…Tied-weight autoencoder…”
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A fault diagnosis method for rolling bearings in open-set domain adaptation with adversarial learning by Tongfei Lei, Feng Pan, Jiabei Hu, Xu He, Bing Li

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Variational autoencoder-based model improves polygenic prediction in blood cell traits by Xiaoqi Li, Elena Kharitonova, Minxing Pang, Jia Wen, Laura Y. Zhou, Laura Raffield, Haibo Zhou, Huaxiu Yao, Can Chen, Yun Li, Quan Sun

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