Study on the Microstructure and Permeability Characteristics of Tailings Based on CT Scanning Technology by Qiyang Li, Changkun Ma, Chao Zhang, Yongcheng Guo, Tong Zhou

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Optimization of robotic spray painting trajectories using machine learning for improved surface quality by Ritesh Bhat, M. Karuppasamy, M. Maragatharajan, Anandakumar Haldorai, E. Nirmala, Nithesh Naik

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Classroom Teachers' Competencies in Using Web 2.0 Tools: Predictive Roles of Individual Innovative Characteristics and Socio-demographic Variables by Dilek Üstün Konur, Hasan Fehmi Özdemir, Ömer Nayci

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Combining handcrafted and learned features using deep learning to improve protein-protein interaction prediction performance by Tran Hoai Nhan, Nguyen Phuc Xuan Quynh, Le Anh Phuong

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Prediction of birthweight with early and mid-pregnancy antenatal markers utilising machine learning and explainable artificial intelligence by Manohar Pavanya, Krishnaraj Chadaga, Vennila J, Akhila Vasudeva, Bhamini Krishna Rao, Srikanth Prabhu, Shashikala K Bhat

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Determining the factors affecting the happiness levels of divorced individuals by ordered logistics regression analysis by Burak Uyar, Cevdet Büyüksu

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MCF-DTI: Multi-Scale Convolutional Local–Global Feature Fusion for Drug–Target Interaction Prediction by Jihong Wang, Ruijia He, Xiaodan Wang, Hongjian Li, Yulei Lu

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Predicting the permeability and compressive strength of pervious concrete using a stacking ensemble machine learning approach by Fan Yu, Wei Chu, Rui Zhang, Zhang Gao, Yunan Yang

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Buffer or Boost? The Role of Job Resources in Predicting Teacher Work Engagement and Emotional Exhaustion in Different School Types by Christian Reintjes, Till Kaiser, Isabelle Winter, Gabriele Bellenberg

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Anomaly Detection Using Machine Learning in Hydrochemical Data From Hot Springs: Implications for Earthquake Prediction by Ruijie Zhu, Fengtian Yang, Xiaocheng Zhou, Jiao Tian, Yongxian Zhang, Miao He, Jingchao Li, Jinyuan Dong, Ying Li

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Predicting acute myocardial infarction from haematological markers utilizing machine learning and explainable artificial intelligence by Tejas Kadengodlu Bhat, Krishnaraj Chadaga, Niranjana Sampathila, Swathi KS, Rajagopala Chadaga, Shashikiran Umakanth, Srikanth Prabhu

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Prediction of Dendrite Growth Velocity in Undercooled Binary Alloys Based on Transfer Learning and Molecular Dynamics Simulation by Jia Wei, Mingyu Zhang, Shuai Li, Shu Li

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Online prediction of ship maneuvering motions based on adaptive weighted ensemble learning under dynamic changes by Yaohui Yu, Hongbin Hao, Zihao Wang, Yan Peng, Shaorong Xie

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Insights of the asynchronous strain evolution of lean coal in uniaxial compression creep by Tingting Cai, Jia Liu, Zengchao Feng, Kai Wang, Yongxing Shen, Yulong Jiang, Bichuan Zhang

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Analysis of Women’s Knowledge, Health Risk Perceptions, Beliefs and Avoidance Behaviour in Relation to Endocrine-Disrupting Chemicals in Personal Care and Household Products by Adrianna Trifunovski, Nooshin Khobzi Rotondi, Jennifer Abbass-Dick, Caroline Barakat

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Simulation of landslide dam failure due to overtopping considering wide-graded soil erosion by Gangyong Song, Tianlong Zhao, Penghui Zhao, Changjing Fu, Xiong Hu

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Prediction of Hub Height Winds over the Plateau Terrain by using WRF /YSU/Noah and Statistical Forecast by Hua Deng, Yan Li, Yingchao Zhang, Hou Zhou, Peipei Cheng, Jia Wang, Muhammad Aqeel Ashraf

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Fatigue strength prediction of Cobalt alloys using material composition and monotonic properties: ML-based approach by Subraya Krishna Bhat, Amritanshu Ranjan, Y S Upadhyaya, Vishwanath Managuli

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A drug response prediction method for single-cell tumors combining attention networks and transfer learning by BingWei Zhou, BingWei Zhou, SiLin Sun, SiLin Sun, ShengZheng Liu, ShengZheng Liu, HaiXia Long, HaiXia Long, YuChun Li, YuChun Li

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DenseNet-Enabled Intelligent Ship Energy Consumption Prediction Method with Navigation Information and Environmental Factors by Gulashan Tang, Rui Luo, Bin Huang, Xiang Li, Hui Ma

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