Data-driven organic solubility prediction at the limit of aleatoric uncertainty by Lucas Attia, Jackson W. Burns, Patrick S. Doyle, William H. Green

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Performer-KAN-Based Failure Prediction for IGBT with BO-CEEMDAN by Yue Xiao, Fanrong Wang

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Dynamics of link formation in networks structured on the basis of predictive terms by S. O. Kramarov, O. R. Popov, I. E. Dzhariev, E. A. Petrov

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Prediction of high-risk pregnancy based on machine learning algorithms by Xinyu Pi, Junzhi Wang, Liangliang Chu, Guochun Zhang, Wenli Zhang

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Time Prediction in Ship Block Manufacturing Based on Transfer Learning by Jinghua Li, Pengfei Lin, Dening Song, Zhe Yan, Boxin Yang, Lei Zhou

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Predicting adaptation and evolution of plasticity from temporal environmental change by Cristóbal Gallegos, Luis‐Miguel Chevin, Kathryn A. Hodgins, Keyne Monro

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Reporting and methods in clinical prediction research: a systematic review. by Walter Bouwmeester, Nicolaas P A Zuithoff, Susan Mallett, Mirjam I Geerlings, Yvonne Vergouwe, Ewout W Steyerberg, Douglas G Altman, Karel G M Moons

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Interpretable machine learning for predicting isolated basal septal hypertrophy. by Lei Gao, Boyan Tian, Qiqi Jia, Xingyu He, Guannan Zhao, Yueheng Wang

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Prediction of Global Horizontal Irradiance for Composite Climatic Zone in India by Naveen Krishnan, K. Ravi Kumar

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Predicting the lifetime of CPVC under increasing temperature and crosshead speed by Abderrahim Khtibari, Abdelkrim Kartouni, Mohamed Elghorba�, Abderrazak En-Naji�

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THE PREDICTABILITY OF POLISH FOREIGN POLICY: THE CASE OF ENERGY COOPERATION WITH RUSSIA by Konstantin Emelin

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Temporal Backtracking and Multistep Delay of Traffic Speed Series Prediction by Licheng Qu, Minghao Zhang, Zhaolu Li, Wei Li

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Predicting Days on Market to Optimize Real Estate Sales Strategy by Mauro Castelli, Maria Dobreva, Roberto Henriques, Leonardo Vanneschi

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Prediction of dust storm using artificial neural networks in Kermanshah by Toba Alizadeheh, Majid rezaie banafsh, Gholamreza Goodarzi, Hashem Rostamzadeh

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Revisiting the "satisfaction of spatial restraints" approach of MODELLER for protein homology modeling. by Giacomo Janson, Alessandro Grottesi, Marco Pietrosanto, Gabriele Ausiello, Giulia Guarguaglini, Alessandro Paiardini

“…The most frequently used approach for protein structure prediction is currently homology modeling. The 3D model building phase of this methodology is critical for obtaining an accurate and biologically useful prediction. …”
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VGG-MFO-orange for sweetness prediction of Linhai mandarin oranges by Chun Fang, Runhong Shen, Meiling Yuan, ZhengXu, Wangyi Ye, Sheng Dai, Di Wang

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Analysis and Prediction of Transmission Error of Harmonic Reducer for Space Robot by Ruixing Li, Guangwu Zhou, Zhijun Zhao, Junyang Li, Jiaxu Wang

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PREDICTION OF SOFTWARE ANOMALIES METHODS BASED ON ENSEMBLE LEARNING METHODS by Raghda Azad Hasan, Ibrahim Ahmed Saleh

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Self-supervised predictive learning accounts for cortical layer-specificity by Kevin Kermani Nejad, Paul Anastasiades, Loreen Hertäg, Rui Ponte Costa

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Non-parametric correlation structures and their respective embeddings in predictive analysis by Adam Dudáš

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