Does the FNA sperm retrieval failure prediction model work well for current NOA individuals undertaking risk screening before the operation? Model validation, high-risk population... by Xiaohui Jiang, Dingming Li, Yi Zheng, Yinxian Li, Hengzhou Bai, Guicheng Zhao, Yi Zhang, Yue Ma

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Finite-Set Model Predictive Power Control with Common Mode Voltage Elimination for an Asymmetrical Double-Star Induction Generator Wind Energy Conversion System by Yanis Hamoudi, Hocine Amimeur, Sabrina Nacef

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Deep learning for the prediction of acute kidney injury after coronary angiography and intervention in patients with chronic kidney disease: a model development and validation stud... by Ying Tang, Ting Wu, Xiufen Wang, Xi Wu, Anqun Chen, Guochun Chen, Chengyuan Tang, Liyu He, Yuting Liu, Meiyu Zeng, Xiaoqin Luo, Shaobin Duan

“…The SHapley Additive exPlanations method provided interpretability for the DNN models. A web-based tool was established to help clinicians stratify the risk of PC-AKI (https://xydsbakigroup.streamlit.app/).Conclusion The explainable DNN models serve as promising tools for predicting PC-AKI in CKD patients undergoing coronary angiography and intervention, which is crucial for risk stratification and clinical descion-making.…”
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Machine Learning Modeling for Building Energy Performance Prediction Based on Simulation Data: A Systematic Review of the Processes, Performances, and Correlation of Process-Relate... by Damla Kömürcü, Ecem Edis

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Python approach on fuzzy time series Arima (1, 1, 1) model to analyze original and predict results for online retail of fuel booking services by B. Mohamed Harif, Karthikeyan M, K. Perarasan

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European Religious Education Policy by Abdurrahman HENDEK

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Identification and Patient Benefit Evaluation of Machine Learning Models for Predicting 90-Day Mortality After Endovascular Thrombectomy Based on Routinely Ready Clinical Informati... by Andrew Tik Ho Ng, Lawrence Wing Chi Chan

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Predictive Modeling of Dairy Sales Using Multi-Perspective Fusion Bi-LSTM Integrated with Universal Scale CNN: Insights from the Dairy Supply Chain by Naveen D. Chandavarkar, Dr. Soumya S

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Hybrid-driven modeling using a BiLSTM–AdaBoost algorithm for diameter prediction in the constant diameter stage of Czochralski silicon single crystals by Yu-Yu Liu, Ding Liu, Shi-Hai Wu, Yi-Ming Jing

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Endpoint carbon content and temperature prediction model in BOF steelmaking based on posterior probability and intra-cluster feature weight online dynamic feature selection by Wang Haodong, Liu Hui, Chen FuGang, Li Heng, Xue XiaoJun

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Machine learning-based approach for reduction of energy consumption in hybrid energy storage electric vehicle by T. Paulraj, Yeddula Pedda Obulesu

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Development of a machine learning-based model to predict urethral recurrence following radical cystectomy: a multicentre retrospective study and updated meta-analysis by Bo Fan, Luxin Zhang, Hepeng Cui, Shanshan Bai, Haifeng Gao, Shengxiang Xiang, Yuchao Wang, Zhuwei Song, Jiaqiang Chen, Guanghai Yu, Jianbo Wang, Liang Wang, Zhiyu Liu

“…Moreover, to benefit from the clinical implications of the predictive model, an easy-to-use risk calculator tool for UR was developed online ( https://zluxin.shinyapps.io/make_web/ ) based on the GBM model. …”
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A Hybrid Wavelet-Based Deep Learning Model for Accurate Prediction of Daily Surface PM_2.5 Concentrations in Guangzhou City by Zhenfang He, Qingchun Guo, Zhaosheng Wang, Xinzhou Li

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Geospatial technology based shoreline change analysis (1992–2022) and predictive forecast modeling for 2032 and 2042, utilizing DSAS, along the eastern coast of India by Harikrishna S., Gurugnanam B., Bairavi S.

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The Prediction of Civil Building Energy Consumption Using a Hybrid Model Combining Wavelet Transform with SVR and ELM: A Case Study of Jiangsu Province by Xiangxu Chen, Jinjin Mu, Zihan Shang, Xinnan Gao

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Developing an Innovative Seq2Seq Model to Predict the Remaining Useful Life of Low-Charged Battery Performance Using High-Speed Degradation Data by Yong Seok Bae, Sungwon Lee, Janghyuk Moon

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Machine learning algorithms for predictive modeling of dyslipidemia-associated cardiovascular disease risk in pregnancy: a comparison of boosting, random forest, and decision tree... by Idris Zubairu Sadiq, Fatima Sadiq Abubakar, Muhammad Auwal Saliu, Babangida Sanusi katsayal, Aliyu Salihu, Aliyu Muhammad

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A Novel Long Short-Term Memory Seq2Seq Model with Chaos-Based Optimization and Attention Mechanism for Enhanced Dam Deformation Prediction by Lei Wang, Jiajun Wang, Dawei Tong, Xiaoling Wang

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Development and validation of an explainable machine learning model for predicting prognosis in sepsis patients with a history of cancer who were admitted to the intensive care uni... by Xiang Luo, Xiuji Kan, Dongliang Wang, Yu Shi, Siqi Zhu, Zhenyu Chen, Congcong Wang, Wenqi Zhu, Xiangtong Wang, Wenwen Sun

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A case study on the practicability of using linear analysis results in a Bayesian inference model to predict nonlinear responses in performance-based design methods by Shima Taheri, Reza Karami Mohammadi

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