AOL

Nicholas Braun Confessed His YouTube Algorithm Would Make Him Look Suspicious And I've Never Wanted To Snoop Through Someone's Phone More

Like any good whodunnit, everyone in The Sheep Detectives is a little suspicious. But what makes Nicholas Braun — who plays Officer Tim Derry — suspicious IRL? Well… we asked him.
GitHub

scikit-eo: A Python package for Remote Sensing Data Analysis

Nowadays, remotely sensed data has increased dramatically. Microwaves and optical images with different spatial and temporal resolutions are available and are used to monitor a variety of ...
GitHub

Machine Learning Techniques for Text

Learn how to acquire and process textual data and visualize the key findings Obtain deeper insight into the most commonly used algorithms and techniques and understand their tradeoffs Implement models ...
IEEE

Design of a Generic Fault Diagnosis Model for Electrical Distribution Networks Using a Support Vector Machine (SVM) Algorithm

Abstract: This article presents the design and implementation of a generic model for fault diagnosis in electrical distribution networks, based on the Support Vector Machine (SVM) algorithm. The ...
BMJ

Prediction of zero-dose children using supervised machine learning algorithm in Tanzania: evidence from the recent 2022 Tanzania Demographic and Health Survey

Objectives This study aimed to employ machine learning algorithms to predict the factors contributing to zero-dose children in Tanzania, using the most recent nationally representative data. Design ...
IEEE

Development of a Conditional Generative Adversarial Network Model for Television Spectrum Radio Environment Mapping

Abstract: To efficiently use the finite wireless communication resource (radio spectrum), a Radio Environment Map (REM) is needed to monitor, analyse and provide rich awareness of spectrum activities ...
Psychology Today

Algorithm Aversion: Who Trusts Algorithms to Make Decisions?

In today's world, algorithms are everywhere—curating our Spotify playlists, suggesting YouTube videos, and even helping us make financial decisions. But despite their prevalence and power, many of us ...