Predicting ash content and water content in coal using full infrared spectra and machine learning models by Suprapto Suprapto, Antin Wahyuningtyas, Kartika Anoraga Madurani, Yatim Lailun Ni'mah

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Deep Learning in the Fast Lane: A Survey on Advanced Intrusion Detection Systems for Intelligent Vehicle Networks by Mohammed Almehdhar, Abdullatif Albaseer, Muhammad Asif Khan, Mohamed Abdallah, Hamid Menouar, Saif Al-Kuwari, Ala Al-Fuqaha

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UAV-Assisted Space-Air-Ground Integrated Networks: A Technical Review of Recent Learning Algorithms by Atefeh Hajijamali Arani, Peng Hu, Yeying Zhu

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Deep Reinforcement Learning Assisted UAV Path Planning Relying on Cumulative Reward Mode and Region Segmentation by Zhipeng Wang, Soon Xin Ng, Mohammed EI-Hajjar

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Deep learning–based resource allocation for secure transmission in a non-orthogonal multiple access network by Miao Zhang, Yao Zhang, Qian Cen, Shixun Wu

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Toward Intelligent Intrusion Prediction for Wireless Sensor Networks Using Three-Layer Brain-Like Learning by Jun Wu, Song Liu, Zhenyu Zhou, Ming Zhan

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Detection of selective forwarding attacks based on adaptive learning automata and communication quality in wireless sensor networks by Hongliang Zhu, Zhihua Zhang, Juan Du, Shoushan Luo, Yang Xin

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PseudoCell: Hard Negative Mining as Pseudo Labeling for Deep Learning-Based Centroblast Cell Detection by Narongrid Seesawad, Piyalitt Ittichaiwong, Thapanun Sudhawiyangkul, Phattarapong Sawangjai, Peti Thuwajit, Paisarn Boonsakan, Supasan Sripodok, Kanyakorn Veerakanjana, Komgrid Charngkaew, Ananya Pongpaibul, Napat Angkathunyakul, Narit Hnoohom, Sumeth Yuenyong, Chanitra Thuwajit, Theerawit Wilaiprasitporn

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What’s in, and what’s out? A study of student choice of learning activities in a flipped EFL classroom by Shen Yan

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Multistep photovoltaic power forecasting based on multi-timescale fluctuation aggregation attention mechanism and contrastive learning by Liang Yuan, Xiangting Wang, Yao Sun, Xubin Liu, Zhao Yang Dong

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Distribution network fault comprehensive identification method based on voltage–ampere curves and deep ensemble learning by Jian Wang, Bo Zhang, Dong Yin, Jinxin Ouyang

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A Reinforcement Learning Model for Optimal Treatment Strategies in Intensive Care: Assessment of the Role of Cardiorespiratory Features by Cristian Drudi, Maximiliano Mollura, Li-wei H. Lehman, Riccardo Barbieri

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Two-centers machine learning analysis for predicting acid-fast bacilli results in tuberculosis sputum tests by Jichong Zhu, Yong Zhao, Chengqian Huang, Chenxing Zhou, Shaofeng Wu, Tianyou Chen, Xinli Zhan

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Pratiquer une réflexion épistémologique sur les sciences dans une école communautaire du Québec : exemple de tension entre savoirs diffusés et savoirs locaux.  by Hervé Ferrière, Laurence Ferrière

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L’innovation d’un MOOC en sciences de gestion : vers une approche systémique basée sur la co-création de valeur entre acteurs by Sabrina Hombourger-Barès, Patrick Pelletier, Christine Simard, Lucie Moulet

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Implementation of Higher Diploma Training in Educators’ Instructional Process at three Colleges of Teachers Education of Oromia Region (Ethiopia) by Abayneh Lemma, Desta Gebeyehu, Kassa Michael, Mulugeta Atnafu, Tadesse Hagos

Machine Learning Models for Predicting the Compressive Strength of Concrete with Shredded PET Bottles and M-Sand as Fine Aggregate by Altamashuddinkhan Nadimalla, Siti Aliyyah Masjuki, Abdullah Gubbi, Anjum Khan, Imran Mokashi

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Enhancing water pump failure prediction using machine learning: a focus on less-explored variables by Reza Rasinojehdehi, Goran Cirovic

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Prediction of Pt, Ir, Ru, and Rh complexes light absorption in the therapeutic window for phototherapy using machine learning by V. Vigna, T. F. G. G. Cova, A. A. C. C. Pais, E. Sicilia

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The Research on Precise Monitoring Methods for Grain Planting Areas Based on High-precision UAV Remote Sensing Images by XU Chang, WANG Chunxiao, LIU Lu, YAN Xiaobin, LIU Xiaojuan, Chen Hui, CHENG Mingxing, FAN Yewen

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