The authors used a Bayesian modeling framework to fit behavior and serotonin neuron activity to reward history across multiple timescales. A key goal was to distinguish value coding from other ...

Abstract: Long-term forecasting of multivariate time series has been an important research issue in the field of data mining and knowledge discovery. Fuzzy information granularity is used as an ...

1 School of Computer Science and Engineering (SCOPE), Vellore Institute of Technology (VIT) Chennai Campus, Chennai, Tamil Nadu, India 2 Department of Computer Science and Engineering, Puducherry ...

Capital requirements are standardized regulations for banks and other depository institutions that govern the capital, as a percentage of their assets, that they must maintain. Having this capital on ...

Introduction This is the official implementation of the paper Toward Foundation Model for Multivariate Wearable Sensing of Physiological Signals. Time-series foundation models have the ability to run ...

It's always a treat when fans are treated to matchups featuring two good teams, and there's no shortage of them to make Week 7 NFL predictions on. The last London game of 2025 will see Rams vs.

Abstract: In multivariate time series forecasting, many studies have adopted hybrid deep learning methods, in which sequence decomposition is often used, but the traditional moving average ...

1 Department of Science, Technology and Engineering, Kibabii University, Bungoma, Kenya. 2 Department of Renewable Energy and Technology, Turkana University College, Lodwar, Kenya. Understanding ...

Introduction: Agricultural services have a substitution effect on agricultural labor. But few studies have considered the impact of agricultural services on grain production from the perspective of ...

Velardo C, Clifton D, Hamblin S, Khan R, Tarassenko L, Mackillop L Correction: Toward a Multivariate Prediction Model of Pharmacological Treatment for Women With Gestational Diabetes Mellitus: ...