Predicting concrete strength using machine learning and fresh-state measurements by Bahdan Zviazhynski, Callum White, Janet M. Lees, Gareth J. Conduit

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Predicting Insemination Outcome in Holstein Dairy Cattle using Deep Learning by Mohammad Alishahi, Mahdi Ravakhah

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Predicting danceability and song ratings using deep learning and auditory features by Wei Wu

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Selecting reliable blockchain peers via hybrid blockchain reliability prediction by Peilin Zheng, Zibin Zheng, Liang Chen

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Employing the principal components in time series models and selecting the best models with Application by Rizgar Maghded Ahmed, Nida Salim Mala Younis

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Incorporating large language models as clinical decision support in oncology: the Woollie model by Kimia Heydari, Elizabeth J. Enichen, Ben Li, Joseph C. Kvedar

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Yoshida-Uemori model: Improvement of the elastic modulus evolutive model and Springback application by Lemoine Xavier

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Understanding the impact of covariates for trachoma prevalence prediction using geostatistical methods by Misaki Sasanami, Ibrahim Almou, Adam Nouhou Diori, Ana Bakhtiari, Nassirou Beidou, Donal Bisanzio, Sarah Boyd, Clara R. Burgert-Brucker, Abdou Amza, Katherine Gass, Boubacar Kadri, Fikreab Kebede, Michael P. Masika, Nicholas P. Olobio, Fikre Seife, Abdoul Salam Youssoufou Souley, Amsayaw Tefera, Amir B. Kello, Anthony W. Solomon, Emma M. Harding-Esch, Emanuele Giorgi

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Predicting 24-hour intraocular pressure peaks and averages with machine learning by Ranran Chen, Jinming Lei, Yujie Liao, Yiping Jin, Xue Wang, Xiaomei Li, Danping Wu, Hong Li, Yanlong Bi, Haohao Zhu

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Evaluation of PEscore performance in predicting platelet transfusion efficacy in hematological patients by LI Jun, WANG Lan, XIE Yihua, CHEN Ziqi, ZHAO Gang

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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

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Critical length parameter of HDPE and its use in fatigue lifetime predictions by Kamila Kozáková, Lukáš Trávníček, Jan Poduška, Jan Klusák

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Modeling and Parameter Extraction of PV Cell Using Single- and Two-Diode Model by bouchra benabdelkrim

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Predicting medication wastage using machine learning based on patient beliefs by Firdaus Aziz, Sorayya Malek, Shubathira Sooriamoorthy, Ilham Asyilah Mahamood, Chong Wei Wen, Sharifah M. Syed Ahmad, Putri Nur Fatin Amir Rudin, Adliah Mhd Ali

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Lightweighting the prediction process of urban states with parameter sharing and dilated operations by Peixiao Wang, Haolong Yang, Hengcai Zhang, Shifen Cheng, Feng Lu, Zeqiang Chen

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Predicting patients’ sentiments about medications using artificial intelligence techniques by Amir Sorayaie Azar, Samin Babaei Rikan, Amin Naemi, Jamshid Bagherzadeh Mohasefi, Uffe Kock Wiil

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Predicting Imminent Cyanobacterial Blooms in Lakes Using Incomplete Timely Data by Christopher M. Heggerud, Jingjing Xu, Hao Wang, Mark A. Lewis, Ron W. Zurawell, Charlie J. G. Loewen, Rolf D. Vinebrooke, Pouria Ramazi

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Breast cancer survival prediction using an automated mitosis detection pipeline by Nikolas Stathonikos, Marc Aubreville, Sjoerd deVries, Frauke Wilm, Christof A Bertram, Mitko Veta, Paul J vanDiest

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Stress–strain curve predictions by crystal plasticity simulations and machine learning by Dmitry S. Bulgarevich, Makoto Watanabe

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Application of Backpropagation Neural Network in Predicting Mandatory Test Vehicle Parks by Rani Asmidewi, Yusuf Muhyidin, Minarto Minarto

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