News-Medical.Net

Novel method predicts asthma exacerbations with high degree of accuracy

Researchers at Mass General Brigham and Karolinska Institutet have identified a new method to predict asthma exacerbations ...
IEEE

An Effective Summary Preprocessing Method for Time Series Forecasting With Multiple Temporal Granularities

Abstract: Time-series forecasting plays a pivotal role in decision-making. Recently, as deep learning models have shown exceptional performance in time-series forecasting, research in the field of ...
Daily Excelsior

Machine Learning Methods Used for Portfolio Optimization and Risk Management

Machine learning is reshaping the way portfolios are built, monitored, and adjusted. Investors are no longer limited to ...
C&EN

Comprehensive Quantitative Profiling of Less Polar Lipids in Human Plasma Using Validated Reversed-Phase UHPSFC/MS/MS

Creative Commons (CC): This is a Creative Commons license. Attribution (BY): Credit must be given to the creator. The quantitative analysis of lipids is challenging due to their structural diversity ...
C&EN

Overcoming Small Data Limitations in Materials Informatics: Interpretable Predictive Modeling of Optical Limiting Efficiency Using the CORRELATO Algorithm

Russian Academy of Sciences, FSBIS Institute of Physiologically Active Compounds of the Russian Academy of Sciences, 1, Severny Proezd, Chernogolovka 142432, Russian Federation Russian Academy of ...
Frontiers

Long short-term memory-based forecasting of influenza epidemics using surveillance and meteorological data in Tokyo, Japan

Background: Influenza remains a significant public health challenge worldwide, necessitating robust forecasting models to facilitate timely interventions and resource allocation. The aim of this study ...
Frontiers

Modeling and forecasting of the high-dimensional time series data with functional data analysis and machine learning approaches

Temperature impacts every part of the world. Meteorological analysis and weather forecasting play a crucial role in sustainable development by helping reduce the damage caused by extreme weather ...
IEEE

A Novel Discrete Time Series Representation With De Bruijn Graphs for Enhanced Forecasting Using TimesNet

Abstract: In this paper, we present a novel method for advancing time series forecasting by representing discretized time series data through de Bruijn Graphs (dBGs). This method harnesses the ...
The New York Times

The Future of Weather Prediction Is Here. Maybe.

Thanks to A.I., companies like WindBorne hope to usher in a golden age of forecasting. But they rely in part on government data — and the agency that provides it is in turmoil. A WindBorne weather ...