Devdiscourse

AI-driven methods accelerate detection of pesticides in food systems

In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
AZoSensors

Machine-Learning Technique Shown to Reduce Sensor Drift in Electronic Noses

Research reveals that knowledge distillation significantly compensates for sensor drift in electronic noses, improving ...
National Academies of Sciences%2c Engineering%2c and Medicine

Making Machine Learning Safer in High-Stakes Settings

Machine learning, a key enabler of artificial intelligence, is increasingly used for applications like self-driving cars, medical devices, and advanced robots that work near humans — all contexts ...
Scientific Research Publishing

Pathan, M.V., Ponnusami, S.A., Pathan, J., Pitisongsawat, R., Erice, B., Petrinic, N., et al. (2019) Predictions of the Mechanical Properties of Unidirectional Fibre Composites ...

ABSTRACT: This paper introduces a method to develop a common model based on machine learning (ML) that predicts the mechanical behavior of a family with three composite materials. The latter are ...
IEEE

Unsupervised/Semi-Supervised Magnetic Anomaly Detection Method Based on Deep Support Vector Data Description

Abstract: Existing magnetic anomaly detection (MAD) methods are widely categorized into target-, noise-, and machine learning-based methods. This article first analyzes the commonalities and ...
Scientific Research Publishing

Explainable Machine Learning in Risk Management: Balancing Accuracy and Interpretability ()

1 School of Taxation and Public Administration, Shanghai Lixin University of Accounting and Finance, Shanghai, China. 2 School of Business, Computing and Social Sciences, University of Gloucestershire ...
Frontiers

Advanced Supervised Machine Learning Techniques for Accurate Prediction of Diabetes Mellitus Using Feature Selection

The final, formatted version of the article will be published soon. Background): Diabetes Mellitus (DM) is a chronic metabolic disorder that poses a significant global health challenge, affecting ...
Frontiers

Optimization method of electric vehicle energy system based on machine learning

College of Mechanical and Electronic Engineering, Shanghai Jianqiao University, Shanghai, China Introduction: To enhance energy management in electric vehicles (EVs), this study proposes an ...