Optimizing Machine Learning-Based Ovarian Cancer Prediction Through Normalization Strategies by Roopashri Shetty, Siddhant Gupta, Vansh Mediratta, Shwetha Rai, M. Geetha

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Frost Resistance Prediction of Concrete Based on Dynamic Multi-Stage Optimisation Algorithm by Xuwei Dong, Jiashuo Yuan, Jinpeng Dai

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Bayesian Model Averaging and Regularized Regression as Methods for Data-Driven Model Exploration, with Practical Considerations by Hyemin Han

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A neural network for predicting occurrence of uterine fibroids in women of reproductive age by A. M. Ziganshin, G. B. Dikke, A. R. Yanbarisova

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Ultrasound super resolution imaging for accurate uterus tumor detection and malignancy prediction by Ashwini Sawant, Sujata Kulkarni, Milind Sawant

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Evaluation of Decision Tree and Support Vector Machine Classifiers in Comparison for Flood Prediction by Suha Abdullah

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Feasibility of Mental Health Triage Call Priority Prediction Using Machine Learning by Rajib Rana, Niall Higgins, Kazi Nazmul Haque, Kylie Burke, Kathryn Turner, Terry Stedman

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An Intelligent Approach for Early and Accurate Predication of Cardiac Disease Using Hybrid Artificial Intelligence Techniques by Hazrat Bilal, Yibin Tian, Ahmad Ali, Yar Muhammad, Abid Yahya, Basem Abu Izneid, Inam Ullah

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Machine Learning Prediction of Airfoil Aerodynamic Performance Using Neural Network Ensembles by Diana-Andreea Sterpu, Daniel Măriuța, Grigore Cican, Ciprian-Marius Larco, Lucian-Teodor Grigorie

“…The best-performing single-seed model tested (seed 0) achieves a mean absolute percentage error (MAPE) of 1.1% with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> of 0.9998 for the lift coefficient prediction and 0.57% with an <inline-formula><math xmlns="http://www.w3.org/1998/Math/MathML" display="inline"><semantics><mrow><msup><mrow><mi mathvariant="normal">R</mi></mrow><mrow><mn>2</mn></mrow></msup></mrow></semantics></math></inline-formula> of 0.9954 for the drag coefficient prediction. …”
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Physical education teaching design under the STEAM concept using the convolutional neural network by Haiyan Fu

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Application of Machine Learning Methods for Employee Turnover Prediction Based on Open Data by A. N. Kazinets

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EFR-Net: Enhanced Fracture Prediction in Osteoporosis with U-Net-Based Analysis by EDWARD Naveen V, Mr, Jenefa A, Vidhya K, T.M. Thiyagu

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Mechanisms and Subseasonal Predictability of Unprecedented Multiple Tropical Cyclone Event in Autumn 2024 by Yitian Qian, Pang‐Chi Hsu, Yangyang Zhao, Hao Li

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Predicting the Activity Level of the Great Gerbil (Rhombomys opimus) via Machine Learning by Fan Jiang, Peng Peng, Zhenting Xu, Yu Xu, Ding Yang, Shouquan Chai, Shuai Yuan, Limin Hua, Dawei Wang, Xuanye Wen

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Exploring Equilibrium Points in a Long-term Glucose-insulin Model for Type I Diabetes: MPC Application in Automated Insulin Delivery Systems Using Functional Insulin Therapy Tools by Amor Hamata, Salim Aissi

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Integrating host biological and ecological variables to predict probability of haemosporidian infection in raptors by Kai Gao, Xuemei Yang, Xi Huang, Wenhong Deng

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Fault prediction of aircraft engine based on adaptive hybrid sampling and BiLSTM by Junying Hu, Xu Jiang, Huan Xu, Ke Zhang

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End-to-End Collaborative Optimization Method for Microgrid Power Prediction and Optimal Scheduling by ZHANG Li, WANG Bao, JIA Jianxiong, SONG Zhumeng, YE Yutong, YU Yue, LIN Jiaqing, XU Xiaoyuan

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Prediction of Arrival Time of Pure Electric Bus Based on FA-BP Algorithm by Yuanwen Lai, Hangyu Liang, Liling Huang

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Adaptive Timescale Energy Optimal Predictive Control in DC Power Consumption Zone by Wenfei YI, Xinyao SI, Qing CHEN, Haitao LIU, Yu JI, Xiong XIONG, Di PAN, Guobin JIN

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