AHA/ASA Journals

Contrastive Machine Learning to Quantify Hypertensive Multiorgan Damage and Identify New Disease Phenotypes: A Multinational Multimodal Study

BACKGROUND: Hypertension induces structural and functional damage in multiple organs. Evidence of subclinical damage ...
C&EN

Chemists ran 50,688 reactions to make a huge open dataset

The dataset, which the researchers have made available on the Open Reaction Database, is nearly five times as large as the ...
Scientific Research Publishing

Deep Reinforcement Learning for Phishing Detection with Transformer-Based Semantic Features ()

Phishing is a form of cybercrime in which people are deceived into exposing their personal information which can result in ...
LinkedIn

Guide to K-Nearest Neighbors Algorithm in Machine Learning

This newsletter takes a comprehensive look into what the KNN algorithm is, how it works, its applications, strengths, and limitations—helping you master one of the most intuitive models in data ...
Scientific Research Publishing

Halder, R.K., et al. (2024) Enhancing K-Nearest Neighbor Algorithm: A Comprehensive Review and Performance Analysis of Modifications. Journal of Big Data, 11, Article No. 113.

ABSTRACT: The objective of this work is to determine the true owner of a land—public or private—in the region of Kumasi (Ghana). For this purpose, we applied different machine learning methods to the ...
Assembly Mag

Traditional Machine Learning for Practical Machine Vision: It’s Been There All Along

Powerful and practical machine learning tools for machine vision applications are already available to everyone, even if you’re not a data scientist. It might come as a bit of a surprise, but machine ...
The New York Times

A.I. Will Destroy Critical Thinking in K-12

See more of our coverage in your search results.Encuentra más de nuestra cobertura en los resultados de búsqueda. Add The New York Times on GoogleAgrega The New York Times en Google A few weeks ago, ...
Nature

Evaluating machine learning algorithms for energy consumption prediction in electric vehicles: A comparative study

The rising popularity of electric vehicles (EVs) is driving a transition in transportation toward electric vehicles (EVs), which presents both opportunities and problems for energy management systems.
Nature

Comparison between logistic regression and machine learning algorithms on prediction of noise-induced hearing loss and investigation of SNP loci

To compare the comprehensive performance of conventional logistic regression (LR) and seven machine learning (ML) algorithms in Noise-Induced Hearing Loss (NIHL) prediction, and to investigate the ...
C&EN

Efficient Model Predictive Control Implementation via Machine Learning: An Algorithm Selection and Configuration Approach

Article Views are the COUNTER-compliant sum of full text article downloads since November 2008 (both PDF and HTML) across all institutions and individuals. These metrics are regularly updated to ...
IEEE

Prediction of False Data Injection Attacks in Smart Grid using AdaBoost, Deep Learning, and KNN

Abstract: With the advancement and application of computing in electrical infrastructure, all traditional electrical grids are transforming into Smart Grid. Modern Smart Grid are more efficient than ...
LinkedIn

Choosing the Right Machine Learning Algorithm: A Step-By-Step Guide

These algorithms work work better for different situations. So data science teams will often be looking to choose the algorithm that's the best fit. When choosing an algorithm, consider a more ...