Machine learning for predicting strength properties of waste iron slag concrete by Matiur Rahman Raju, Syed Ishtiaq Ahmad, Md Mehedi Hasan, Noor Md. Sadiqul Hasan, Md Monirul Islam, Md. Abdul Basit, Ishraq Tasnim Hossain, Saif Ahmed Santo, Md Shahrior Alam, Mahfuzur Rahman

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Current role of radiomics and radiogenomics in predicting oncological outcomes in bladder cancer by Niall J. O’Sullivan, Hugo C. Temperley, Alison Corr, James F.M. Meaney, Peter E. Lonergan, Michael E. Kelly

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Individualized prediction of future cognition based on developmental changes in cortical anatomy by Budhachandra Khundrakpam, Linda Booij, Seun Jeon, Sherif Karama, Jussi Tohka, Alan C. Evans

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Histopathologic features and parameters predicting recurrence potential of small renal masses by Senad Bajramović, Berina Hasanović, Jasmin Alić, Nirvana Šabanović Bajramović, Damir Aganović

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MHRA-MS-3D-ResNet-BiLSTM: A Multi-Head-Residual Attention-Based Multi-Stream Deep Learning Model for Soybean Yield Prediction in the U.S. Using Multi-Source Remote Sensing Data by Mahdiyeh Fathi, Reza Shah-Hosseini, Armin Moghimi, Hossein Arefi

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Corticosteroid treatment prediction using chest X-ray and clinical data by Anzhelika Mezina, Samuel Genzor, Radim Burget, Vojtech Myska, Jan Mizera, Aleksandr Ometov

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Using machine learning for air quality prediction and sustainable urban planning by M.A. Mujtaba, Muhammad Adeel Munir, Sheeraz Ali, Jana Petrů, Talha Ansar, Waiz Akhlaq, Muneeb Ahmad, Haseeb Iqbal, Faisal Ali, Muhammad Nasir Bashir, Theodosios Alexander

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Radiomic Profiling of Tumor Thrombus for Predicting Recurrence in Renal Cell Carcinoma by Zine-Eddine Khene, Isamu Tachibana, Raj Bhanvadia, Ivan Trevino, Prajwal Sharma, William Graber, Nicholas Bingham, Theophile Bertail, Raphael Fleury, Kris Gaston, Solomon L. Woldu, Karim Bensalah, Yair Lotan, Vitaly Margulis

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Striato-cortical connectivity patterns predict clinical profiles in Huntington’s disease by Audrey E. De Paepe, Vasiliki Bikou, Eylül Turan, Alexis Pérez-Bellido, Clara Garcia-Gorro, Nadia Rodriguez-Dechicha, Irene Vaquer, Matilde Calopa, Ruth de Diego-Balaguer, Estela Camara

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Fall Risk Prediction Using Instrumented Footwear in Institutionalized Older Adults by Huanghe Zhang, Chuanyan Wu, Yulong Huang, Rui Song, Damiano Zanotto, Sunil K. Agrawal

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Hybridization of stochastic hydrological models and machine learning methods for improving rainfall-runoff modeling by Sianou Ezéckiel Houénafa, Olatunji Johnson, Erick K. Ronoh, Stephen E. Moore

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Prediction of Multivariate Chaotic Time Series using GRU, LSTM and RNN by Osman Eldoğan, Gülyeter Öztürk

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Using near-infrared spectroscopy (NIRS) to predict budbreak of the following year by Amy Watson, Vincent Segura, Yoann Bourhis, Guillaume Perez, Isabelle Farrera, Evelyne Costes, Fernando Andrés

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Leveraging Machine and Deep Learning Algorithms for hERG Blocker Prediction by Syed Mohammad, Vaisali Chandrasekar, Omar Aboumarzouk, Ajay Vikram Singh, Sarada Prasad Dakua

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Predictions of the LSST Solar System Yield: Discovery Rates and Characterizations of Centaurs by Joseph Murtagh, Megan E. Schwamb, Stephanie R. Merritt, Pedro H. Bernardinelli, Jacob A. Kurlander, Samuel Cornwall, Mario Jurić, Grigori Fedorets, Matthew J. Holman, Siegfried Eggl, David Nesvorný, Kathryn Volk, R. Lynne Jones, Peter Yoachim, Joachim Moeyens, Jeremy Kubica, Drew Oldag, Maxine West, Colin Orion Chandler

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Prediction of Single Event Effect in Inverter Circuit Based on Deep Learning by Jin Huang, Rong Zhao, Shulong Wang, Xingyuan Yan, Hao Zhou, Liutao Li, Shupeng Chen, Hongxia Liu

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Application of Deep Learning in Forest Fire Prediction: A Systematic Review by Cesilia Mambile, Shubi Kaijage, Judith Leo

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Dual-Agent Transformer Network Based on Prompt Engineering for Voltage Prediction by Wanting Xu, Amirrudin Kamsin, Ling Jiang, Yuan Mei, Xinyue Zhou, Jun Huang

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Testable Predictions of Outside-in Age Gradients in Dwarf Galaxies of All Types by Claire L. Riggs, Alyson M. Brooks, Ferah Munshi, Charlotte R. Christensen, Roger E. Cohen, Thomas R. Quinn, James Wadsley

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Artificial Intelligence in Crime Prediction: A Survey With a Focus on Explainability by Filiz Ersoz, Taner Ersoz, Francesco Marcelloni, Fabrizio Ruffini

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