Objectives To assess the impact of comprehensive tobacco control policies on maternal smoking during pregnancy and perinatal ...

What if plants could speak when they were thirsty? Agriculture, in essence, is a dialog among crops, soil and climate. Yet drought, the most insidious stressor, remains largely silent until its damage ...

Abstract: This paper presents a mixture-gas detectable edgecomputing device with two step on-sensor classification and regression capabilities. Mixture-gas classification is achieved through a ...

What is linear regression in machine learning ? Understanding Linear Regression in machine learning is considered as the basis or foundation in machine learning. In this video, we will learn what is ...

Binary Classification and Regression in Machine Learning Overview This project focuses on implementing machine learning models for two key tasks: Binary Classification: Predicting categorical outcomes ...

The often bureaucratic nature of classified information is complicated, with different levels of secrecy and different potential punishments for its disclosure. By Devlin Barrett Reporting from ...

Machine learning projects showcasing classification, regression, and time series forecasting techniques. Includes practical examples in predicting wine quality, analyzing employee attrition, and sales ...

Abstract: Tabular data is the most prevalent form of structured data, necessitating robust models for classification and regression tasks. Traditional models like eXtreme Gradient Boosting (XGBoost) ...

The officials cite "deeply troubling reports of dangerous interactions" that have "rightly shaken the American public's confidence." Authors Grady Hendrix and Jennifer Roberson sue Apple, alleging it ...