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Forecasting

Rosetta FlexPepDock to predict peptide-MHC binding: An approach for non-canonical amino acids

Nathaniel Bloodworth, Natália Ruggeri Barbaro, [ ... ], Jens Meiler

Stock index trend prediction based on TabNet feature selection and long short-term memory

Xiaolu Wei, Hongbing Ouyang, Muyan Liu

Hybrid fuzzy inference rules of descent method and wavelet function for volatility forecasting

Abdullah H. Alenezy, Mohd Tahir Ismail, [ ... ], Rami S. Alkhawaldeh

A quantitative analysis of the impact of explicit incorporation of recency, seasonality and model specialization into fine-grained tourism demand prediction models

Amir Khatibi, Ana Paula Couto da Silva, Jussara M. Almeida, Marcos A. Gonçalves

Fertility plans in the early times of the COVID-19 pandemic: The role of occupational and financial uncertainty in Italy

Francesca Luppi, Bruno Arpino, Alessandro Rosina

Machine learning for the prediction of minor amputation in University of Texas grade 3 diabetic foot ulcers

Shiqi Wang, Jinwan Wang, Mark Xuefang Zhu, Qian Tan

New predictive model of the touchdown times in a high level 110 m hurdles

Ryo Iwasaki, Hiroyuki Nunome, Kento Nozawa

Tai Chi increases functional connectivity and decreases chronic fatigue syndrome: A pilot intervention study with machine learning and fMRI analysis

Kang Wu, Yuanyuan Li, [ ... ], Kuangshi Li

Intelligent personalized shopping recommendation using clustering and supervised machine learning algorithms

Nail Chabane, Achraf Bouaoune, [ ... ], Vladimir Makarenkov

A novel customer churn prediction model for the telecommunication industry using data transformation methods and feature selection

Joydeb Kumar Sana, Mohammad Zoynul Abedin, M. Sohel Rahman, M. Saifur Rahman

An attention-based recurrent learning model for short-term travel time prediction

Jawad-ur-Rehman Chughtai, Irfan Ul Haq, Muhammad Muneeb

Analysis and prediction of the temporal and spatial evolution of carbon emissions in China’s eight economic regions

Zhen Yu, Yuan Zhang, Juan Zhang, Wenjie Zhang

Study on exercise muscle fatigue based on sEMG and ECG data fusion and temporal convolutional network

Dinghong Mu, Fenglei Li, [ ... ], Tao Sun

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