Machine learning and microfluidic integration for oocyte quality prediction by Hassan Saffari, Davood Fathi, Peyman Palay, Hamid Gourabi, Rouhollah Fathi

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Spatially explicit predictions using spatial eigenvector maps by Guillaume Guénard, Pierre Legendre

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Multimodal fusion with relational learning for molecular property prediction by Zhengyang Zhou, Yunrui Li, Pengyu Hong, Hao Xu

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Does the GOSLON yardstick predict the need for orthognathic surgery? by Kirstin Miteff, Mark Jonathon Walters, Shahriar Raj Zaman, Wendy Nicholls, Steve Singer, David Gillett

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Deep Autoencoders for Unsupervised Anomaly Detection in Wildfire Prediction by İrem Üstek, Miguel Arana‐Catania, Alexander Farr, Ivan Petrunin

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Viral genomic features predict Orthopoxvirus reservoir hosts by Katie K. Tseng, Heather Koehler, Daniel J. Becker, Rory Gibb, Colin J. Carlson, Maria del Pilar Fernandez, Stephanie N. Seifert

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Machine learning based on laboratory data for disease prediction by A. V. Gusev, R. E. Novitskiy, A. A. Ivshin, A. A. Alekseev

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Neuropsychopharmacology in the era of artificial intelligence and biomolecule prediction software by Rubén A. García-Reyes, Laura N. Massó Quiñones, Hajin Ruy, Daniel C. Castro

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Interactive trajectory prediction for autonomous driving based on Transformer by R. Xu, J. Li, S. Zhang, L. Li, H. Li, G. Ren, X. Tang

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Nomogram for predicting secondary surgery in patients with concomitant exotropia by Haihua Liu, Rongjun Liu, Ruiying Li, Kaixiu Li

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Predicting Diameter Distributions in Mixed Forests in Southern Mexico by Juan Carlos Guzmán-Santiago, Héctor Manuel de los Santos-Posadas, Benedicto Vargas-Larreta, Martín Gómez-Cárdenas, Wenceslao Santiago-García, Adan Nava-Nava

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Random fields and up scaling, towards a more predictive probabilistic quantitative hydrogeology by Noetinger, Benoît

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Application of smart technologies for predicting soil erosion patterns by Rana Muhammad Adnan Ikram, Mo Wang, Hossein Moayedi, Atefeh Ahmadi Dehrashid, Shiva Gharibi, Jing-Cheng Han

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Prediction of stroke severity: systematic evaluation of lesion representations by Anna K. Bonkhoff, Alexander L. Cohen, William Drew, Michael A. Ferguson, Aaliya Hussain, Christopher Lin, Frederic L. W. V. J. Schaper, Anthony Bourached, Anne‐Katrin Giese, Lara C. Oliveira, Robert W. Regenhardt, Markus D. Schirmer, Christina Jern, Arne G. Lindgren, Jane Maguire, Ona Wu, Sahar Zafar, John Y. Rhee, Eyal Y. Kimchi, Maurizio Corbetta, Natalia S. Rost, Michael D. Fox, MRI‐GENIE and GISCOME Investigators and the International Stroke Genetics Consortium

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AI Advances in ICU with an Emphasis on Sepsis Prediction: An Overview by Charithea Stylianides, Andria Nicolaou, Waqar Aziz Sulaiman, Christina-Athanasia Alexandropoulou, Ilias Panagiotopoulos, Konstantina Karathanasopoulou, George Dimitrakopoulos, Styliani Kleanthous, Eleni Politi, Dimitris Ntalaperas, Xanthi Papageorgiou, Fransisco Garcia, Zinonas Antoniou, Nikos Ioannides, Lakis Palazis, Anna Vavlitou, Marios S. Pattichis, Constantinos S. Pattichis, Andreas S. Panayides

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How Taxes and Spending on Education Influence Economic Growth in Poland by Michał Konopczyński

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Educational guidance systematization in adolescent’s sexual and reproductive health in Cuba by Sandra Ochoa Durán, Clara Ofelia Suárez Rodríguez, María del Toro Sánchez, Ailién Chaveco Castillo

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Predictive Maintenance of HVAC Systems using Deep Learning for Optimized Building Energy Efficiency by Seyed Abolfazl Aghili, Amin Haji Mohammad Rezaei, Mostafa Khanzadi

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Apolipoprotein E Plasma Concentrations Are Predictive of Recurrent Strokes: Insights From the SPARCL Trial by Kévin Chemello, Alexis F. Guedon, Romuald Techer, Ali K. Jaafar, Sam Guilhen, Michael J. Swietek, Gilles Lambert, Antonio Gallo

“…Registration URL: https://www.clinicaltrials.gov; Identifier: NTC00147602.…”
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Applying Big Data for Maritime Accident Risk Assessment: Insights, Predictive Insights and Challenges by Vicky Zampeta, Gregory Chondrokoukis, Dimosthenis Kyriazis

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