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

Machine Learning Approaches for Loan Default Prediction: A Comparative Analysis of Random Forest and KNN Algorithms

In the present time, unprecedented progress in terms of access to loans is being recorded, with both opportunities and threats created for lending institutions. The increase in access to credit ...
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 ...
BMJ

Validation of a machine learning algorithm for predicting hypoxic ischaemic encephalopathy

Recent technological advancements have enabled clinicians to integrate data into predictive models, potentially transforming early diagnosis in neonatology. Using predictive models to detect neonatal ...
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 ...