Abstract: The present work focuses on the comprehensive implementation of gas/mixture identification employing chemometric analysis followed by on-chip realization. The chemometric analysis has been ...

Nigeria stands at a perilous crossroads today. The spectre of insecurity looms large, threatening not only the safety of lives and property but also the very fabric of our national unity, economic ...

Objective: To compare the application of the ARIMA model, the Long Short-Term Memory (LSTM) model and the ARIMA-LSTM model in forecasting foodborne disease incidence. Methods: Monthly case data of ...

The implementation of a business model involves a detailed understanding of the process through which a company creates, delivers, and captures value. The operational challenges here include the ...

Forbes contributors publish independent expert analyses and insights. Fashion modeling is experiencing significant technological disruption as AI platforms evolve from simple model generation into ...

The prevailing wisdom in artificial intelligence suggests that bigger models yield better results. In our work for health insurance companies and third-party administrators of health plans, we’ve ...

aDivision of Pediatric Critical Care Medicine, Department of Anesthesiology and Critical Care Medicine, Children's Hospital of Philadelphia, Perelman School of Medicine, University of Pennsylvania, ...

This repository contains a Python-based project for real-time healthcare monitoring, focusing on forecasting patient heart rates using the ARIMA (AutoRegressive Integrated Moving Average) model. The ...

R's time series models and, more generally, its statistics models, are mature and often of high quality. CRAN is a great resource. Making some of its models easily accessible via sktime can bring ...

Written by Ken Huang, CSA Fellow, Co-Chair of CSA AI Safety Working Groups and Dr. Ying-Jung Chen, Georgia Institute of Technology. This implementation guide provides a comprehensive, hands-on ...