Could Milkability Parameters Serve as a Reliable Tool to Predict the Morphology of Teat Structures and Their Milking-Induced Changes? by Iveta Szencziová, Matúš Gašparík, Jaromír Ducháček, Eva Tóthová Tarová, Melinda Nagy, Luděk Stádník, Mária Mičiaková, Radim Codl

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Friction Prediction in Asphalt Pavements: The Role of Separated Macro- and Micro-Texture Parameters Under Dry and Wet Conditions by Jie Gao, Jingjing Fan, Chong Gao, Liang Song

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Comparing regression versus correction formula predictions of passive recall test scores from yes-no test results by Raymond Stubbe

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A Study on the Analysis and Prediction of the Evolution Path of China’s Electric Vehicle Industry Policy Based on Text Mining by Zizheng Liu, Tao Xie

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Predicting strike susceptibility and collision patterns of the common buzzard at wind turbine structures in the federal state of Brandenburg, Germany. by Anushika Bose, Tobias Dürr, Reinhard A Klenke, Klaus Henle

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Scaling law of Sim2Real transfer learning in expanding computational materials databases for real-world predictions by Shunya Minami, Yoshihiro Hayashi, Stephen Wu, Kenji Fukumizu, Hiroki Sugisawa, Masashi Ishii, Isao Kuwajima, Kazuya Shiratori, Ryo Yoshida

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Post-Anesthesia Care Unit (PACU) readiness predictions using machine learning: a comparative study of algorithms by Shahnam Sedigh Maroufi, Maryam Soleimani Movahed, Azar Ejmalian, Maryam Sarkhosh, Ali Behmanesh

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Preoperative MRI radiomic analysis for predicting local tumor progression in colorectal liver metastases before microwave ablation by Angelo Della Corte, Martina Mori, Francesca Calabrese, Diego Palumbo, Francesca Ratti, Gabriele Palazzo, Alessandro Pellegrini, Domenico Santangelo, Monica Ronzoni, Emiliano Spezi, Antonella Del Vecchio, Claudio Fiorino, Luca Aldrighetti, Francesco De Cobelli

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Predicting and evaluating the engineering properties of civic garbage torched bottom ash and sisal fibre-reinforced earth blocks by Abinaya Thennarasan Latha, Balasubramanian Murugesan

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Machine learning prediction and explainability analysis of high strength glass powder concrete using SHAP PDP and ICE by Muhammad Sarmad Mahmood, Tariq Ali, Inamullah Inam, Muhammad Zeeshan Qureshi, Syed Salman Ahmad Zaidi, Muwaffaq Alqurashi, Hawreen Ahmed, Muhammad Adnan, Abdul Hakim Hotak

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Perioperative Risk Prediction in Major Gynaecological Oncology Surgery: A National Diagnostic Survey of UK Clinical Practice by Lusine Sevinyan, Anil Tailor, Pradeep Prabhu, Peter Williams, Melanie Flint, Thumuluru Kavitha Madhuri

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Investigating artificial intelligence in predicting and evaluating sperm and embryo quality in the in vitro fertilization (IVF): a systematic review by Shahrzad kaveh, Aida Ghaffari, Solmaz Sohrabei

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Predicting emergency department admissions using a machine-learning algorithm: a proof of concept with retrospective study by Cyrielle Brossard, Christophe Goetz, Pierre Catoire, Lauriane Cipolat, Christophe Guyeux, Cédric Gil Jardine, Mahuna Akplogan, Laure Abensur Vuillaume

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Leaf spectroscopy as a tool for predicting the presence of isoprene emissions and terpene storage in central Amazon forest trees by Michelle Robin, Flavia Machado Durgante, Caroline Lorenci Mallmann, Hilana Louise Hadlich, Christine Römermann, Lucas de Souza Falcão, Caroline Dutra Lacerda, Sérgio Duvoisin Jr., Florian Wittmann, Maria Teresa Fernandez Piedade, Jochen Schöngart, Eliane Gomes Alves

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A Review of Vessel Time of Arrival Prediction on Waterway Networks: Current Trends, Open Issues, and Future Directions by Abdullah Al Noman, Aaron Heuermann, Stefan Wiesner, Klaus-Dieter Thoben

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Predicting marine habitat for marbled murrelets during breeding and nonbreeding seasons in the Salish Sea, British Columbia, Canada. by Sonya A Pastran, Patrick D O'Hara, Caroline H Fox, Mark C Drever, Ross Vennesland, Douglas F Bertram

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Prediction and optimization of WEDM parameters for machining of NiTi-shape memory alloy using ANFIS-PSO approach by Lokesh Kumar, Ashish Goyal, Vimal Kumar Pathak

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A hybrid inception-dilated-ResNet architecture for deep learning-based prediction of COVID-19 severity by Ali Khalili Fakhrabadi, Mehdi Jafari Shahbazzadeh, Nazanin Jalali, Mahdiyeh Eslami

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Updated systematic review and meta-analysis of the performance of risk prediction rules in children and young people with febrile neutropenia. by Robert S Phillips, Thomas Lehrnbecher, Sarah Alexander, Lillian Sung

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Prediction of Early Diagnosis in Ovarian Cancer Patients Using Machine Learning Approaches with Boruta and Advanced Feature Selection by Tuğçe Öznacar, Tunç Güler

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