Prediction of slaughter weight with body components and liner body measurement of Hararge cattle at Haramaya University abattoir, Ethiopia by Takele Wolkaro, Yosef Tadesse, Mengistu Urge, Merga Bayisa

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Fatigue life prediction of asphalt binders under variable loading levels based on dissipated pseudo-strain energy by Chenze Fang, Hui Li, Zhenxia Li, Yuanzhao Chen, Tengteng Guo

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Machine Learning-Based Prediction of Summer Extended-Range Precipitation and Possible Contribution of Soil Moisture over China by Yuchen YE, Haishan CHEN, Siguang ZHU, Yinshuo DONG

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Improved Monthly Runoff Prediction of OSELM Based on Secondary Decomposition Technique and Optimization of Ten "Bird" Swarm Algorithms by DENG Zhiyu, CUI Dongwen

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Advanced prediction of rice yield gaps under climate uncertainty using machine learning techniques in Eastern India by Satiprasad Sahoo, Chiranjit Singha, Ajit Govind

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Machine‐Learning Prediction of Bleeding After Endoscopic Submucosal Dissection for Early Gastric Cancer: A Multicenter Study by Hiroki Maruyama, Kazuya Takahashi, Kosuke Kojima, Nao Nakajima, Hiroki Sato, Ken‐ichi Mizuno, Soichi Sugitani, Shuji Terai

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Using machine learning to predict depression among middle-aged and elderly population in China and conducting empirical analysis. by Zhe Wang, Ni Jia

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BAYESIAN ADDITIVE REGRESSION TREE APPLICATION FOR PREDICTING MATERNITY RECOVERY RATE OF GROUP LONG-TERM DISABILITY INSURANCE by Stevanny Budiana, Felivia Kusnadi, Robyn Irawan

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DCE-MRI quantitative analysis and MRI-based radiomics for predicting the early efficacy of microwave ablation in lung cancers by Chen Yang, Fandong Zhu, Jing Yang, Min Wang, Shijun Zhang, Zhenhua Zhao

“…Abstract Objectives To evaluate the feasibility and value of dynamic contrast-enhanced MRI (DCE-MRI) quantitative analysis and MRI-based radiomics in predicting the efficacy of microwave ablation (MWA) in lung cancers (LCs). …”
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Novel deep neural network architecture fusion to simultaneously predict short-term and long-term energy consumption. by Abrar Ahmed, Safdar Ali, Ali Raza, Ibrar Hussain, Ahmad Bilal, Norma Latif Fitriyani, Yeonghyeon Gu, Muhammad Syafrudin

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RUL Prediction of Rolling Bearings Based on Fruit Fly Optimization Algorithm Optimized CNN-LSTM Neural Network by Jiaping Shen, Haiting Zhou, Muda Jin, Zhongping Jin, Qiang Wang, Yanchun Mu, Zhiming Hong

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A retrospective cohort study using machine learning to predict coronary artery lesions in children with Kawasaki disease by Yanan Duan, Aiping Chen, Xuedi Cheng

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Medium and Long Term Wind Power Prediction Based on Graph Convolutional Network and Wind Velocity Differential Fitting by Zihan CHEN, Wei TENG, Xuefeng XU, Xian DING, Yibing LIU

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Trend in obesity prevalence in European adult cohort populations during follow-up since 1996 and their predictions to 2015. by Anne von Ruesten, Annika Steffen, Anna Floegel, Daphne L van der A, Giovanna Masala, Anne Tjønneland, Jytte Halkjaer, Domenico Palli, Nicholas J Wareham, Ruth J F Loos, Thorkild I A Sørensen, Heiner Boeing

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Identification of Vesicle‐Mediated Transport‐Related Genes for Predicting Prognosis, Immunotherapy Response, and Drug Screening in Cervical Cancer by Shuai Lou, Hongqing Lv, Lin Zhang

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Air quality prediction using stacked bi- long short-term memory and convolutional neural network in India by S Karkuzhali, Thendral Puyalnithi, R Nirmalan

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Predicting Remaining Useful Life of Induction Motor Bearings from Motor Current Signatures Using Machine Learning by Nurul Zahirah Zulkifli, Bhukya Ramadevi, Kishore Bingi, Rosdiazli Ibrahim, Madiah Omar

“…Therefore, this research develops a predictive maintenance framework by integrating motor current signature analysis with machine learning techniques to estimate the remaining useful life (RUL) of induction motor bearings. …”
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Explainable Machine Learning for Efficient Diabetes Prediction Using Hyperparameter Tuning, SHAP Analysis, Partial Dependency, and LIME by Md. Manowarul Islam, Habibur Rahman Rifat, Md. Shamim Bin Shahid, Arnisha Akhter, Md Ashraf Uddin, Khandaker Mohammad Mohi Uddin

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Predicting liver metastasis in pancreatic neuroendocrine tumors with an interpretable machine learning algorithm: a SEER-based study by Jinzhe Bi, Yaqun Yu

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The clinical value of dynamic monitoring of complete blood count in predicting immunoglobulin resistance in Chinese children with Kawasaki disease by Xiaoqian Fang

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