Machine Learning-Based Harvest Date Detection and Prediction Using SAR Data for the Vojvodina Region (Serbia) by Gordan Mimić, Amit Kumar Mishra, Miljana Marković, Branislav Živaljević, Dejan Pavlović, Oskar Marko

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Predicting Parkinson's disease trajectory using clinical and functional MRI features: A reproduction and replication study. by Elodie Germani, Nikhil Bhagwat, Mathieu Dugré, Rémi Gau, Albert A Montillo, Kevin P Nguyen, Andrzej Sokolowski, Madeleine Sharp, Jean-Baptiste Poline, Tristan Glatard

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Predicting maintenance lithium response for bipolar disorder from electronic health records—a retrospective study by Joseph F. Hayes, Fehmi Ben Abdesslem, Sandra Eloranta, David P. J. Osborn, Magnus Boman

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Computational analysis of ABL kinase mutations allows predicting drug sensitivity against selective kinase inhibitors by Swapna Kamasani, Sravani Akula, Sree Kanth Sivan, Vijjulatha Manga, Justus Duyster, Dashavantha Reddy Vudem, Rama Krishna Kancha

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A new nomogram for predicting 90-day outcomes of intravenous thrombolysis in patients with acute ischaemic stroke by Yingjie Zhao, Rui Zhang, Pan Li, Zhen Zhang, Huan Yu, Zhaoya Su, Yandong Xia, Aiguo Meng

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Detection of Dairy Herd Management Issues Using Fatty Acid Profiles Predicted by Mid-Infrared Spectrometry by Sébastien Franceschini, Claire Fastré, Charles Nickmilder, Débora E. Santschi, Daniel Warner, Mazen Bahadi, Carlo Bertozzi, Didier Veselko, Frédéric Dehareng, Nicolas Gengler, Hélène Soyeurt

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Algorithm based on 2‐bit adaptive delta modulation and fractional linear prediction for Gaussian source coding by Zoran Peric, Bojan Denic, Vladimir Despotovic

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Using pet insurance claims to predict occurrence of vector-borne and zoonotic disease in humans in the United States by Janice O’Brien, Aliya McCullough, Christian Debes, Audrey Ruple

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Predicting EMI in UAVs using characteristic mode analysis: a case study of the DJI Phantom 4 by Zeinab Jalali, Seyed Mohamad Hashemi, Alireza Sadeqi, V. Mashayekhi, Javad Ghalibafan

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Can Radiomics of Dynamic PET Imaging with 11C-methionine Predict EGFR Amplification Status in Glioblastoma? by Gleb DANILOV, Andrey POSTNOV, Diana KALAEVA, Nina VIKHROVA, Tatyana KOBYAKOVA

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Efficacy of Urine Asymmetric Dimethylarginine Concentration to Predict Azotemia in Hyperthyroid Cats After Radio‐Iodine Treatment by Ellen Vanden Broecke, Lisa Stammeleer, Emmelie Stock, Ellen De Paepe, Sylvie Daminet

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Enhancing Agricultural Futures Return Prediction: Insights from Rolling VMD, Economic Factors, and Mixed Ensembles by Yiling Ye, Xiaowen Zhuang, Cai Yi, Dinggao Liu, Zhenpeng Tang

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Prediction of clinical factors associated with pandemic influenza A (H1N1) 2009 in Pakistan. by Nadia Nisar, Uzma Bashir Aamir, Nazish Badar, Muhammad Rashid Mehmood, Muhammad Masroor Alam, Birjees Mazher Kazi, Syed Sohail Zahoor Zaidi

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Prediction of breast cancer Invasive Disease Events using transfer learning on clinical data as image-form. by Annarita Fanizzi, Samantha Bove, Maria Colomba Comes, Erika Francesca Di Benedetto, Agnese Latorre, Francesco Giotta, Annalisa Nardone, Alessandro Rizzo, Clara Soranno, Alfredo Zito, Raffaella Massafra

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MTLNFM: A Multi-Task Framework Using Neural Factorization Machines to Predict Patient Clinical Outcomes by Rui Yin, Jiaxin Li, Qiang Yang, Xiangyu Chen, Xiang Zhang, Mingquan Lin, Jiang Bian, Ashwin Subramaniam

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Use of Machine Learning Algorithms to Predict Almen (Shot Peening) Intensity Values of Various Steel Materials by Murat İnce, Hatice Varol Özkavak

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Inflammatory burden index predicts long term mortality in a nationally representative population from NHANES by Wenze Li, Defeng Zhao, Wenya Li

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Quickpropagation Architecture Optimization Based on Input Pattern for Exchange Rate Prediction from Rupiah to US Dollar by Harits Farras Zulkarnaen, Sukmawati Nur Endah

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A Secure and Efficient Framework for Multimodal Prediction Tasks in Cloud Computing with Sliding-Window Attention Mechanisms by Weiyuan Cui, Qianye Lin, Jiaqi Shi, Xingyu Zhou, Zeyue Li, Haoyuan Zhan, Yihan Qin, Chunli Lv

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Machine learning identifies key individual and nation-level factors predicting climate-relevant beliefs and behaviors by Boryana Todorova, David Steyrl, Matthew J. Hornsey, Samuel Pearson, Cameron Brick, Florian Lange, Jay J. Van Bavel, Madalina Vlasceanu, Claus Lamm, Kimberly C. Doell

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