Plant MicroRNA Prediction by Supervised Machine Learning Using C5.0 Decision Trees by Philip H. Williams, Rod Eyles, Georg Weiller

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Distinguishing glioblastoma from brain metastasis; a systematic review and meta-analysis on the performance of machine learning by Mohammad Amin Habibi, Reza Omid, Shafaq Asgarzade, Sadaf Derakhshandeh, Ali Soltani Farsani, Zohreh Tajabadi

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Photometric Selection of Type 1 Quasars in the XMM-LSS Field with Machine Learning and the Disk–Corona Connection by Jian Huang, Bin Luo, W. N. Brandt, Ying Chen, Qingling Ni, Yongquan Xue, Zijian Zhang

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Enhancing undrained shear strength prediction: a robust hybrid machine learning approach with naïve Bayes modeling by Chen Fang, Ying Li, Yang Shi

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The Project P.A.T.H.S. in Hong Kong—Lessons Learned and Implications for Positive Youth Development Programs by Daniel T. L. Shek, Rachel C. F. Sun

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Self-Organizing Mapping Neural Network Implementation Based on 3-D NAND Flash for Competitive Learning by Anyi Zhu, Lei Jin, Wen Zhou, Tianchun Ye, Zongliang Huo

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Discrimination of Fresh Tobacco Leaves with Different Maturity Levels by Near-Infrared (NIR) Spectroscopy and Deep Learning by Yi Chen, Jun Bin, Congming Zou, Mengjiao Ding

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Essentials of a Robust Deep Learning System for Diabetic Retinopathy Screening: A Systematic Literature Review by Aan Chu, David Squirrell, Andelka M. Phillips, Ehsan Vaghefi

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A Cognitive Radio Spectrum Sensing Method for an OFDM Signal Based on Deep Learning and Cycle Spectrum by Guangliang Pan, Jun Li, Fei Lin

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Detecting glacial lake water quality indicators from RGB surveillance images via deep learning by Zijian Lu, Xueyan Zhu, Jinfeng Li, Mingyue Li, Jie Wang, Wenqiang Wang, Yili Zheng, Qianggong Zhang

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The effect of the Ayas model to learning individual fast attack and high-order thinking skills of handball for students by Ali Radhi Abdul Hussein

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A Framework for Promoting Passive Breast Cancer Monitoring: Deep Learning as an Interpretation Tool for Breast Thermograms by Mohamad Firouzmand, Keivan Majidzadeh, Maryam Jafari, Shahpar Haghighat, Rezvan Esmaeili, Leila Moradi, Nima Misaghi, Mahsa Ensafi, Fatemeh Batmanghelich, Mohammadreza Keyvanpour, Seyed Vahab Shojaedini

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Short-Term Power Prediction of Building Integrated Photovoltaic (BIPV) System Based on Machine Learning Algorithms by R. Kabilan, V. Chandran, J. Yogapriya, Alagar Karthick, Priyesh P. Gandhi, V. Mohanavel, Robbi Rahim, S. Manoharan

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Optimizing intelligent residential scheduling based on policy black box and adaptive clustering federated deep reinforcement learning by Wei Zhang, Yiyang Li

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Design and Evaluation of a Hybrid Technique for Detecting Sunflower Leaf Disease Using Deep Learning Approach by Arun Malik, Gayatri Vaidya, Vishal Jagota, Sathyapriya Eswaran, Akash Sirohi, Isha Batra, Manik Rakhra, Evans Asenso

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Study of the Mastery of Digital Self-Efficacy through the Learning Process among Students of Universities in the Livestock Sector by Ayu Intan Sari, Ida Nugroho Saputro, Sutrisno Hadi Purnomo, Endang Tri Rahayu, Shanti Emawati

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Application of Machine Learning in Multi-Directional Model to Follow Solar Energy Using Photo Sensor Matrix by P. Dhanalakshmi, V. Venkatesh, P. S. Ranjit, N. Hemalatha, S. Divyapriya, R. Sandhiya, Sumit Kushwaha, Asmita Marathe, Mekete Asmare Huluka

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Integrated application of Kolb's experiential learning theory and Jeffries simulation theory in the training of newly recruited nurses by Linan Zhang, Kin Cheung, Yaojie Xie

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Internet of things-driven approach integrated with explainable machine learning models for ship fuel consumption prediction by Van Nhanh Nguyen, Nghia Chung, G.N. Balaji, Krzysztof Rudzki, Anh Tuan Hoang

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The Emerging Role of Implementing Machine Learning in Food Recommendation for Chronic Kidney Diseases Using Correlation Analysis by Sachin Gupta, Neeraj Garg, Divyanshu Sinha, Babita Yadav, Bhoomi Gupta, Shahajan Miah

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