Monitoring and deformation of deep excavation engineering based on DFOS technology and hybrid deep learning by Yanli Peng, Jie Zhao, Yijiang Fan, Cheng Fan

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Benchmarking Machine Learning Algorithms for Bearing Fault Classification Using Vibration Data: A Deployment-Oriented Study by Prasanta Kumar Samal, R. Srinidhi, Pramod Kumar Malik, H. J. Manjunatha, Imran M. Jamadar

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Simulated synapse loss induces depression-like behaviors in deep reinforcement learning by Eric Chalmers, Santina Duarte, Xena Al-Hejji, Daniel Devoe, Aaron Gruber, Robert J. McDonald

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A temporal approach to urban crime forecasting using recurrent neural networks by Juan Pablo Perez Leal, Andrés Sebastián Ríos, David Romo-Bucheli

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Pit Collapse Risk Fusion Early-Warning Method Based on Machine Learning and Improved Cloud Dempster–Shafer by Jiajia Zeng, Bo Wu, Cong Liu

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Supervised Learning-Based Fault Classification in Industrial Rotating Equipment Using Multi-Sensor Data by Aziz Kubilay Ovacıklı, Mert Yagcioglu, Sevgi Demircioglu, Tugberk Kocatekin, Sibel Birtane

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AI-powered smart hydrological measurement using deep vision integrated with BeiDou high precision positioning by Zhiqiang He, Dongxiang Zhang, Qian Wang

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Stock Price Forecasting in Iran Stock Market: A Comparative Analysis of Deep-learning Approaches by Faraz Bodaghi, Amin Owhadi, Arash Khalili Nasr, Melody Khadem Sameni

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An experimental case on dual mode coupling energy management strategy for islanded AC/DC hybrid microgrid by Bin Wei, Yifan Liu, Jiahao Duan

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Assessment of Probability of Pulmonary Fibrosis Progression in Patients with Interstitial Lung Diseases to Determine Further Treatment Tactics by A. A. Lukashevich, O. A. Yudina, L. S. Bogush, E. I. Davidovskaya, M. I. Dyusmikeeva, A. F. Belko

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A Spatial Transformation Based Next Frame Predictor by Saad Mokssit, Daniel Bonilla Licea, Bassma Guermah, Mounir Ghogho

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Data-Driven Approach to Safety Control in Jacket-Launching Installation Operations by Sheng Chen, Mingxin Li, Yankun Liu, Xu Bai

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A Pretrained Spatio-Temporal Hypergraph Transformer for Multi-Stock Trend Forecasting by Yuchen Wu, Liang Xie, Hongyang Wan, Haijiao Xu

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Forecasting Residential Energy Consumption with the Use of Long Short-Term Memory Recurrent Neural Networks by Zurisaddai Severiche-Maury, Carlos Eduardo Uc-Rios, Wilson Arrubla-Hoyos, Dora Cama-Pinto, Juan Antonio Holgado-Terriza, Miguel Damas-Hermoso, Alejandro Cama-Pinto

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Correlation study on the risk of cardiovascular adverse events in diabetic foot patients based on machine learning - a retrospective cohort study by Liran Zheng, Jiageng Chen, Wenyan Xu, Min Ding, Juan Li, Fenghua Tian, Lei Zhang, Qianqian Li, Shuai Wang, Zeyu Wang, Hairong Ma, Xuecan Cui, Bai Chang, Meijun Wang

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A Machine Learning-Enabled System for Crop Recommendation by Pedina Sasi Kiran, Gembali Abhinaya, Smaraneeka Sruti, Neelamadhab Padhy

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Multifractal-Aware Convolutional Attention Synergistic Network for Carbon Market Price Forecasting by Liran Wei, Mingzhu Tang, Na Li, Jingwen Deng, Xinpeng Zhou, Haijun Hu

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Decoding target discriminability and time pressure using eye and head movement features in a foraging search task by Anthony J. Ries, Chloe Callahan-Flintoft, Anna Madison, Louis Dankovich, Jonathan Touryan

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Time Series Decomposition Using Wavelet and Fourier Transforms for Enhanced Solar Flare Forecasting by Victor Solomon, Junzhi Wen, Rafal Angryk, Manya Rampuria, Omkar Rayala, Abdul Afrid

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An Intelligent LoRaWAN-Based IoT Device for Monitoring and Control Solutions in Smart Farming Through Anomaly Detection Integrated With Unsupervised Machine Learning by Maram Fahaad Almufareh, Mamoona Humayun, Zulfiqar Ahmad, Asfandyar Khan

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