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 ...
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 ...
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, ...
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 ...
IEEE

Classification of IRIS Dataset using Classification Based KNN Algorithm in Supervised Learning

Abstract: Machine learning is about prediction on unseen data or testing data and a set of algorithms are required to perform task on machine learning. There are three types of machine learning are ...