Construction of health index and condition assessment of coal mine rotating machinery by LI Man, PAN Nannan, DUAN Yong, CAO Xiangang

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An Application of Deep Learning Technique to Improve Subseasonal to Seasonal Rainfall Forecast over Java Island, Indonesia by Adyaksa Budi Raharja, Akhmad Faqih, Amsari Mudzakir Setiawan

Subjects: “…bias correction; convolutional autoencoders; rainfall forecasts; sub-seasonal to seasonal…”
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Reduced-order modeling for stochastic large-scale and time-dependent flow problems using deep spatial and temporal convolutional autoencoders by Azzedine Abdedou, Azzeddine Soulaimani

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RESEARCH ON IIOT SECURITY: NOVEL MACHINE LEARNING-BASED INTRUSION DETECTION USING TCP/IP PACKETS by Neha Agarwal, Rajendra Pandey P., Smitha Rajagopal

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Vibration Fault Detection in Wind Turbines Based on Normal Behaviour Models without Feature Engineering by Stefan Jonas, Dimitrios Anagnostos, Bernhard Brodbeck, Angela Meyer

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Automatic Diagnosis of Breast Cancer in Histopathologic Images Based on Convolutional AutoEncoders and Reinforced Feature Selection by Ali Abdulhussain Fadhil, Miaad Adnan, Hamza Radhi, Mahmood Al-Mualm, Mahmood Hasen Alubaidy, Mohamed Salih, Sarah Jaafar Saadoon

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Defect Detection for Enhanced Traceability in Naval Construction by Paula Arcano-Bea, Manuel Rubiños, Agustín García-Fischer, Francisco Zayas-Gato, José Luis Calvo-Rolle, Esteban Jove

Subjects: “…convolutional autoencoders (CAEs)…”
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Estimation of the Two-Dimensional Direction of Arrival for Low-Elevation and Non-Low-Elevation Targets Based on Dilated Convolutional Networks by Guoping Hu, Fangzheng Zhao, Bingqi Liu

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IoT-based prediction model for aquaponic fish pond water quality using multiscale feature fusion with convolutional autoencoder and GRU networks by Suma Christal Mary Sundararajan, Yamini Bhavani Shankar, Sinthia Panneer Selvam, Nalini Manogaran, Koteeswaran Seerangan, Deepa Natesan, Shitharth Selvarajan

Subjects: “…Multi-scale feature fusion-based convolutional autoencoder with gated recurrent unit…”
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Online Adaptive Prediction of Human Motion Intention Based on sEMG by Zhen Ding, Chifu Yang, Zhipeng Wang, Xunfeng Yin, Feng Jiang

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Semi-2DCAE: a semi-supervision 2D-CNN AutoEncoder model for feature representation and classification of encrypted traffic by Jun Cui, Longkun Bai, Guangxu Li, Zhigui Lin, Penggao Zeng

Subjects: “…2-Dimensional convolution AutoEncoder…”
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Improving Adversarial Robustness via Distillation-Based Purification by Inhwa Koo, Dong-Kyu Chae, Sang-Chul Lee

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ECG Arrhythmia Classification based on Convolutional Autoencoders and Transfer Learning by Rasool Muayad Obaidi, Riam Abdul Sattar, Mayada Abd, Inas Amjed Almani, Tawfeeq Alghazali, Saad Ghazi Talib, Muneam Hussein Ali, Mohammed Q. Mohammed, Tuqaa Abid Mohammad, Mariam Raheem Abdul-Sahib

Subjects: “…convolutional autoencoders…”
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Hyperspectral Unmixing Using Deep Convolutional Autoencoders in a Supervised Scenario by Farshid Khajehrayeni, Hassan Ghassemian

Subjects: “…Deep convolutional autoencoders (DCAEs)…”
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CAEM-GBDT: a cancer subtype identifying method using multi-omics data and convolutional autoencoder network by Jiquan Shen, Xuanhui Guo, Hanwen Bai, Junwei Luo

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A Convolutional Autoencoder Topology for Classification in High-Dimensional Noisy Image Datasets by Emmanuel Pintelas, Ioannis E. Livieris, Panagiotis E. Pintelas

Subjects: “…convolutional autoencoders…”
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Coupling Matrix Extraction of Microwave Filters by Using One-Dimensional Convolutional Autoencoders by Yongliang Zhang, Yongliang Zhang, Yanxing Wang, Yaxin Yi, Junlin Wang, Jie Liu, Zhixi Chen

Subjects: “…one-dimensional convolutional autoencoders…”
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On the Dimensionality and Utility of Convolutional Autoencoder’s Latent Space Trained with Topology-Preserving Spectral EEG Head-Maps by Arjun Vinayak Chikkankod, Luca Longo

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Deep Learning for Reduced Sampling Spatial 3-D REM Reconstruction by Antoni Ivanov, Krasimir Tonchev, Vladimir Poulkov, Agata Manolova

Subjects: “…Convolutional autoencoders…”
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Harnessing Deep Convolutional Neural Networks Detecting Synthetic Cannabinoids: A Hybrid Learning Strategy for Handling Class Imbalances in Limited Datasets by Catalina Mercedes Burlacu, Adrian Constantin Burlacu, Mirela Praisler, Cristina Paraschiv

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