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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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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Enhancing stock index prediction: A hybrid LSTM-PSO model for improved forecasting accuracy. by Xiaohua Zeng, Changzhou Liang, Qian Yang, Fei Wang, Jieping Cai

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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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Torque ripple reduction using adaptive gain model predictive control for induction motor drives by Seyed Morteza Banihashemy, Yousef Alinejad Bromi

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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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Mathematical prediction model for ground vibrations of nearby territories induced by high dam flood discharge by Wenjiao Zhang, Jijian Lian, Fang Liu, Xing Zhao, Chao Liang

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Predicting Wind Turbine Blade Tip Deformation With Long Short‐Term Memory (LSTM) Models by Shubham Baisthakur, Breiffni Fitzgerald

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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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Predictions for dimuon production in high-energy neutrino-proton collisions using the color dipole model by Caetano Ternes, Daniel Almeida Fagundes, Edgar Huayra, Emmanuel G. de Oliveira

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A neural network regression model for predicting student learning success based on prior achievements by Dorrer Mikhail

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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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Large language models predict cognition and education close to or better than genomics or expert assessment by Tobias Wolfram

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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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