Clinical parameters that predict a premature LH rise in patients undergoing ovarian stimulation for IVF by Maya Nasatzky, Yonathan Belicha, Ofer Fainaru

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Predicting the prognosis of patients with sudden sensorineural hearing loss by analyzing the audiometric curve of the unaffected ear by Xuan Sun, Yahan Zhao, Yi Li

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A novel cancer-associated membrane signature predicts prognosis and therapeutic response for lung adenocarcinoma by Biao Tu, Jun Wu, Wei Zhang, Haitao Tang, Tenghui Dai, Bingfeng Xie

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Circular rubber aggregate CFST stub columns under axial compression: prediction and reliability analysis by Khaled Megahed, Nabil Said Mahmoud, Saad Elden Mostafa Abd-Rabou

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Student dropout prediction through machine learning optimization: insights from moodle log data by Markson Rebelo Marcolino, Thiago Reis Porto, Tiago Thompsen Primo, Rafael Targino, Vinicius Ramos, Emanuel Marques Queiroga, Roberto Munoz, Cristian Cechinel

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ML-CKDP: Machine learning-based chronic kidney disease prediction with smart web application by Rajib Kumar Halder, Mohammed Nasir Uddin, Md. Ashraf Uddin, Sunil Aryal, Sajeeb Saha, Rakib Hossen, Sabbir Ahmed, Mohammad Abu Tareq Rony, Mosammat Farida Akter

“…Additionally, we present a real-time web-based application to operationalize the model, enhancing accessibility for healthcare practitioners and stakeholders.Web app link: https://rajib-research-kedney-diseases-prediction.onrender.com/…”
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Machine-Learning-Based Rollover Risk Prediction for Autonomous Trucks: A Dynamic Stability Analysis by Heung-Shik Lee

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Bearing Lifespan Reliability Prediction Method Based on Multiscale Feature Extraction and Dual Attention Mechanism by Xudong Luo, Minghui Wang

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Multichannel Attention-Based TCN-GRU Network for Remaining Useful Life Prediction of Aero-Engines by Jiabao Zou, Ping Lin

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Leveraging Machine Learning for Exchange Rate Prediction: A Business and Financial Management Perspective in Nigeria by Adedeji Daniel Gbadebo

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Artificial neural networks for predicting first-lactation 305-day milk yield in crossbred cattle by SM Usman, A Kumar, A Sherasiya, IM Youssef, MM Abo Ghanima, J Chandrakar, R Tiwari, NP Singh, QS Sahib, T Dutt, AA Swelum

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On the predictability of turbulent fluxes from land: PLUMBER2 MIP experimental description and preliminary results by G. Abramowitz, G. Abramowitz, A. Ukkola, A. Ukkola, S. Hobeichi, S. Hobeichi, J. Cranko Page, J. Cranko Page, M. Lipson, M. G. De Kauwe, S. Green, S. Green, C. Brenner, C. Brenner, J. Frame, G. Nearing, M. Clark, M. Best, P. Anthoni, G. Arduini, S. Boussetta, S. Caldararu, S. Caldararu, K. Cho, M. Cuntz, D. Fairbairn, C. R. Ferguson, H. Kim, Y. Kim, J. Knauer, J. Knauer, D. Lawrence, X. Luo, S. Malyshev, T. Nitta, J. Ogee, K. Oleson, C. Ottlé, P. Peylin, P. de Rosnay, H. Rumbold, B. Su, N. Vuichard, A. P. Walker, X. Wang-Faivre, Y. Wang, Y. Zeng

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Artificial intelligence prediction of the mechanical properties of banana peel-ash and bagasse blended geopolymer concrete by George Uwadiegwu Alaneme, Kolawole Adisa Olonade, Ebenezer Esenogho, Mustapha Muhammad Lawan, Edward Dintwa

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Predicting peripartum depression using elastic net regression and machine learning: the role of remnant cholesterol by Hongxu Chen, Denglan Wang, Juanjuan Shen, Baoyan Guo, Chun Song, Duo Ma, Yan Wu, Guohui Liu, Guangxue Chen, Yan Ni, Tiantian Kong, Fan Wang

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Setting the standard for machine learning in phase field prediction: a benchmark dataset and baseline metrics by Laura Hannemose Rieger, Klemen Zelič, Igor Mele, Tomaž Katrašnik, Arghya Bhowmik

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scPRINT: pre-training on 50 million cells allows robust gene network predictions by Jérémie Kalfon, Jules Samaran, Gabriel Peyré, Laura Cantini

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Prediction of Large-Scale Renewable Energy Access under Steady State of Electric Power System by Mingrun TANG, Ruoyang LI, Muran LIU, Xiaoyu CHENG, Yao LIU, Shuxia YANG

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Enhancing Multi-Disease Prediction with Machine Learning: A Comparative Analysis and Hyperparameter Optimization Approach by Mariam Kili Bechir, Ferhat Atasoy

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IoT-Enabled Adaptive Watering System With ARIMA-Based Soil Moisture Prediction for Smart Agriculture by Muhammad Afzal, Iftikhar Ahmed Saeed, Muhammad Noman Sohail, Mohamad Hanif Md Saad, Mahidur R. Sarker

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Advancements in predicting soil liquefaction susceptibility: a comprehensive analysis of ensemble and deep learning approaches by Divesh Ranjan Kumar, Warit Wipulanusat

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