Analytical Justification of Countering Threats in System Processes by Andrey Kostogryzov

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A hierarchical Bayesian model to predict APOE4 genotype and the age of Alzheimer's disease onset. by Francis Hane, Carolyn Augusta, Owen Bai

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XGBoost models based on non imaging features for the prediction of mild cognitive impairment in older adults by Miguel A. Fernández-Blázquez, José M. Ruiz-Sánchez de León, Rubén Sanz-Blasco, Emilio Verche, Marina Ávila-Villanueva, María José Gil-Moreno, Mercedes Montenegro-Peña, Carmen Terrón, Cristina Fernández-García, Jaime Gómez-Ramírez

“…The aim of this study is to develop and validate machine learning (ML) models based on non-imaging features to predict the risk of MCI conversion in cognitively healthy older adults over a three-year period. …”
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Analysis of influencing factors and trend prediction based on quantile regression and GM(1, 1) model by Lianhui Li, Adham Manyara, Jie Liu

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Development of the educational activity monitoring system on the basis of competence-based approach by L. A. Makushkina, M. V. Fadeeva

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AlphaBind, a domain-specific model to predict and optimize antibody–antigen binding affinity by Aditya A. Agarwal, James Harrang, David Noble, Kerry L. McGowan, Adrian W. Lange, Emily Engelhart, Miranda C. Lahman, Jeffrey Adamo, Xin Yu, Oliver Serang, Kyle J. Minch, Kimberly Y. Wellman, David A. Younger, Randolph M. Lopez, Ryan O. Emerson

“…Recent advances in deep learning provide opportunities to address this challenge by learning sequence–function relationships to accurately predict fitness landscapes. These models enable efficient in silico prescreening and optimization of antibody candidates. …”
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Integrative machine learning model for subtype identification and prognostic prediction in lung squamous cell carcinoma by Guangliang Duan, Qi Huo, Wei Ni, Fei Ding, Yuefang Ye, Tingting Tang, Huiping Dai

“…Subsequently, four survival machine learning models were developed to predict LUSC prognosis. These models were validated in the testing sets and integrated into an online tool to assist in survival prediction. …”
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Dynamics of Worm Propagation Model in Complex Networks Considering Benign Worm and Link Prediction Approach by Elham Asadi, Soodeh Hosseini

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Predictive Modeling of Atrial Fibrillation Using a Hybrid Multinomial-Neutrosophic Approach for Biomarker Identification, by Lorenzo Cevallos-Torres, Luis Pilacuan-Bonete, Rosangela Caicedo-Quiroz, Franklin Parrales-Bravo, Eduardo Rubio-Bonito

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Prediction of sleep disorders using Novel decision support neutrosophic based machine learning models by Nihar Ranjan Panda, Surapati Paramanik, Prasanta Kumar Raut, Ruchi Bhuyan

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Animal-sourced model of human norovirus infection predicted using environmental DNA metabarcoding analysis by Yukuto Sato, Jun Yasuda, Masahiro Sakurai

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Maxent modeling for predicting the potential distribution of Arbutus andrachne L. belonging to climate change in Turkey. by AYSE GUL SARIKAYA, Omer Kamil ORUCU

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An artificial intelligence-based model for prediction of clonal hematopoiesis variants in cell-free DNA samples by Gustavo Arango-Argoty, Marzieh Haghighi, Gerald J. Sun, Elizabeth Y. Choe, Aleksandra Markovets, J. Carl Barrett, Zhongwu Lai, Etai Jacob

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A Personal Credit Rating Prediction Model Using Data Mining in Smart Ubiquitous Environments by Jae Kwon Bae, Jinhwa Kim

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Enhanced Model Predictive Control Using State Variable Feedback for Steady-State Error Cancellation by Marcos Andreu, Jaime Rohten, José Espinoza, José Silva, Esteban Pulido, Lesyani Leon

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Design of a machine (federated) learning based generalized model for predicting drying kinetics of foods by Koksal Erenturk, Saliha Erenturk

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Predictive models based on machine learning to analyze the adoption of digital payments in Latin America and the Caribbean by Jiang Wagner Mamani Lopez, Antonio Víctor Morales Gonzales, Pedro Pablo Chambi Condori

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Construction and optimization of health behavior prediction model for the older adult in smart older adult care by Qian Guo, Peiyuan Chen

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Predicting physiologically-relevant oxygen concentrations in precision-cut liver slices using mathematical modelling. by S J Chidlow, L E Randle, R A Kelly

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Successive spike times predicted by a stochastic neuronal model with a variable input signal by Giuseppe D'Onofrio, Enrica Pirozzi

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