Predicting and Mitigating Delays in Cross-Dock Operations: A Data-Driven Approach by Amna Altaf, Adeel Mehmood, Adnen El Amraoui, François Delmotte, Christophe Lecoutre

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Recommended reporting items for epidemic forecasting and prediction research: The EPIFORGE 2020 guidelines. by Simon Pollett, Michael A Johansson, Nicholas G Reich, David Brett-Major, Sara Y Del Valle, Srinivasan Venkatramanan, Rachel Lowe, Travis Porco, Irina Maljkovic Berry, Alina Deshpande, Moritz U G Kraemer, David L Blazes, Wirichada Pan-Ngum, Alessandro Vespigiani, Suzanne E Mate, Sheetal P Silal, Sasikiran Kandula, Rachel Sippy, Talia M Quandelacy, Jeffrey J Morgan, Jacob Ball, Lindsay C Morton, Benjamin M Althouse, Julie Pavlin, Wilbert van Panhuis, Steven Riley, Matthew Biggerstaff, Cecile Viboud, Oliver Brady, Caitlin Rivers

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A Physics-Enhanced Network for Predicting Sequential Satellite Images of Typhoon Clouds by Jiawei Yuan, Liling Zhao, Runling Yu, Xiaoqin Lu, Min Xia, Yi Liu, Yuru Wang, Xinyue Wang

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Generating Anticancer Peptides Sequences Using Seq2Seq Modeling and Machine Learning Methods by Muhammad Sohail Ibrahim, Saheed Ademola Bello, Yunsang Kwak, Minseok Kim, Shujaat Khan

“…The proposed computational approach offers a streamlined and economical alternative to traditional experimental methods, expediting the discovery of new ACPs and enhancing the accuracy of anticancer peptide predictions. The relevant models, codes, and results are also available on the authors github page at (<uri>https://github.com/mhdshl/ACP-Seq2Seq</uri>).…”
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Patients with metabolic syndrome and premature atrial contractions: predicting the atrial fbrillation onset by A. I. Olesin, I. V. Konstantinova, V. S. Ivanov

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Next app prediction based on graph neural networks and self-attention enhancement by Junxin Chen, Zhiqiong Liu, Jing Liu, Wang Li, Chang Wang

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Zero-Shot Learning for Accurate Project Duration Prediction in Crowdsourcing Software Development by Tahir Rashid, Inam Illahi, Qasim Umer, Muhammad Arfan Jaffar, Waheed Yousuf Ramay, Hanadi Hakami

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Predicting clozapine-induced adverse drug reaction biomarkers using machine learning by John-Paul Cooper, Pierre Chue, Arno G. Siraki, Lusine Tonoyan

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Enhancing structural health monitoring with machine learning for accurate prediction of retrofitting effects by A. Presno Vélez, M. Z. Fernández Muñiz, J. L. Fernández Martínez

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Establishment of a novel tumor neoantigen prediction tool for personalized vaccine design by Kai Xin, Xiao Wei, Jie Shao, Fangjun Chen, Qin Liu, Baorui Liu

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Spatial interpolation of health and demographic variables: Predicting malaria indicators with and without covariates. by Camille Morlighem, Chibuzor Christopher Nnanatu, Corentin Visée, Atoumane Fall, Catherine Linard

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Integration of SimWeight and Markov Chain to Predict Land Use of Lavasanat Basin by M S. Mirakhorlo, M. Rahimzadegan

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DEVELOPMENT OF THE SOCIAL TENSION RISK PREDICTING ALGORITHM IN THE POPULATION OF CERTAIN REGIONS OF RUSSIA by A. B. Mulik, B. I. Kochurov, V. N. Bodrova, G. V. Antonov, I. V. Ulesikova, N. O. Nazarov, Yu. A. Shatyr

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Genetic variants of vascular endothelial growth factor predict risk and survival of gliomas by Paulo Linhares, Marta Viana-Pereira, Mónica Ferreira, Júlia Amorim, Rui Nabiço, Filipe Pinto, Sandra Costa, Rui Vaz, Rui Manuel Reis

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Predicting academic performance with fuzzy logic in prospective physical education and sports teachers by Ayşe Anapalı Şenel, Berika Göksu, Ender Şenel, Fatma İrem Solmaz

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Temporal dynamics of uncertainty and prediction error in musical improvisation across different periods by Tatsuya Daikoku

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A Spatially Informed Machine Learning Method for Predicting Sound Field Uncertainty by Xiangmei Chen, Chao Li, Haibin Wang, Yupeng Tai, Jun Wang, Cyrille Migniot

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Past Expansion and Future Prediction of Land Use and Land Cover of Sofia City by D. Pavlov, D. Pavlov, L. L. Vitanova, D. Petrova-Antonova

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Prediction of Composite Panel Operability Under Non-Stationary Heating by the External Environment by Roman Musii, Myroslava Klapchuk, Uliana Zhydyk, Vitaliy Korendiy, Inha Svidrak, Roman Protasov

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Gradient boosting for yield prediction of elite maize hybrid ZhengDan 958. by Oumnia Ennaji, Sfia Baha, Leonardus Vergutz, Achraf El Allali

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