IEEE

Discretized Urban Path Loss Modeling at 3.5 GHz Using Geospatial Features and Machine Learning Techniques: From Regression to Classification

Abstract: Accurately modeling and predicting urban path loss is a challenging task due to the fact that conventional regression models yield continuous estimates that can hide important performance ...
Milwaukee Journal Sentinel

How bad will Wisconsin's winter be in 2025? Here's what 4 forecasting models predict

After a slow start to fall, temperatures are steadily dropping in Wisconsin. While Wisconsinites brace for the return of cold weather, four forecast models have issued predictions for what the season ...
Frontiers

Predictive regression models for cognitive impairment, dementia, and Alzheimer’s disease using real-world electronic health records

The aim of this non-interventional, case–control pilot study was to identify factors associated with cognitive impairment, dementia, and Alzheimer’s disease (AD) using a real-world dataset from ...
IEEE

A Comprehensive Machine Learning Approach for Wild Fire Detection and Classification Using Squeezenet and Ridge Regularized Logistic Regression

Abstract: Wild fire is a serious environmental and socioeconomic menace and therefore any effort aimed at the early and accurate detection of wild fire has to be very useful. This paper proposes a ...