Analysis of Precision Regulation Pathways for Thermal Substation Supply–Demand Balance by Jiaxiang Yin, Pengpeng Zhao, Jinda Wang

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An Echo State Network Approach for Parameter Variation Robustness Enhancement in FCS-MPC for PMSM Drives by Xiao Zeng, Jing Li, Pengcheng Yang, Hongda Cai, Yongzhi Zhou, Daren Li

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Metric-based defect prediction from class diagram by Batnyam Battulga, Lkhamrolom Tsoodol, Enkhzol Dovdon, Naranchimeg Bold, Oyun-Erdene Namsrai

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The next generation of transcription factor binding site prediction. by Anthony Mathelier, Wyeth W Wasserman

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Application of Machine Learning Methods for Gravity Anomaly Prediction by Katima Zhanakulova, Bakhberde Adebiyet, Elmira Orynbassarova, Ainur Yerzhankyzy, Khaini-Kamal Kassymkanova, Roza Abdykalykova, Maksat Zakariya

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Anticancer drug synergy prediction based on CatBoost by Changheng Li, Nana Guan, Hongyi Zhang

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Methods for Predicting Bubble Size Distribution in Turbulent Flow by Pengcheng Li, David Z. Zhu, Hang Wang, Rongcai Tang

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Machine Learning‐Assisted Prediction and Generation of Antimicrobial Peptides by Sukhvir Kaur Bhangu, Nicholas Welch, Morgan Lewis, Fanyi Li, Brint Gardner, Helmut Thissen, Wioleta Kowalczyk

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Text Geolocation Prediction via Self-Supervised Learning by Yuxing Wu, Zhuang Zeng, Kaiyue Liu, Zhouzheng Xu, Yaqin Ye, Shunping Zhou, Huangbao Yao, Shengwen Li

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Predicting the Performance of Students Using Deep Ensemble Learning by Bo Tang, Senlin Li, Changhua Zhao

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Predicting progression of Alzheimer's disease using ordinal regression. by Orla M Doyle, Eric Westman, Andre F Marquand, Patrizia Mecocci, Bruno Vellas, Magda Tsolaki, Iwona Kłoszewska, Hilkka Soininen, Simon Lovestone, Steve C R Williams, Andrew Simmons

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How to predict early mortality in patients with metastatic melanoma by Qiusheng Guo, Xianmei Lv, Zengpai Zheng, Gaochen Lan

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An Adaptive Compound Control Strategy of Electric Vehicles for Coordinating Lateral Stability and Energy Efficiency by Xia Hua, Kai Xiang, Xiangle Cheng, Xiaobin Ning

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Identification of fatty acid metabolism-related genes in the tumor microenvironment of breast cancer by a development and validation of prognostic index signature by Zhaofeng Ma, Man Zheng, Pulin Liu

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Incorporating gene expression and environment for genomic prediction in wheat by Jia Liu, Jia Liu, Andrew Gock, Kerrie Ramm, Sandra Stops, Tanya Phongkham, Adam Norman, Russell Eastwood, Eric Stone, Shannon Dillon

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Walking control of humanoid robots based on improved footstep planner and whole-body coordination controller by Xiangji Wang, Wei Guo, Siyu Yin, Sen Zhang, Fusheng Zha, Fusheng Zha, Mantian Li, Pengfei Wang, Xiaolin Li, Lining Sun

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InertDB as a generative AI-expanded resource of biologically inactive small molecules from PubChem by Seungchan An, Yeonjin Lee, Junpyo Gong, Seokyoung Hwang, In Guk Park, Jayhyun Cho, Min Ju Lee, Minkyu Kim, Yun Pyo Kang, Minsoo Noh

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Assessing interaction recovery of predicted protein-ligand poses by David Errington, Constantin Schneider, Cédric Bouysset, Frédéric A. Dreyer

“…Abstract The field of protein-ligand pose prediction has seen significant advances in recent years, with machine learning-based methods now being commonly used in lieu of classical docking methods or even to predict all-atom protein-ligand complex structures. …”
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Targeting TCMR-associated cytokine genes for drug screening identifies PPARγ agonists as novel immunomodulatory agents in transplantation by Lu Hu, Lu Hu, Xiaohan Zhang, Xiaohan Zhang, Weiqi Zhang, Weiqi Zhang, Shuai Jin, Shuai Jin, Jie Zhao, Jianming Zheng, Wenli Song, Zhongyang Shen, Zhongyang Shen, Zhongyang Shen

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The Prognostic Value of Nutritional and Immune Indices for Stage IB Non‐Small Cell Lung Cancer Patients: Insights From a Retrospective Cohort Study by Jianqi Hao, Song He, Cong Chen, Wenying Xu, Xiaohu Hao, Nanzhi Luo, Chenglin Guo, Qiang Pu, Lunxu Liu

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