Polymer-chemistry dataset created for training AI models

Polymers are fundamental to our daily lives, serving as the core components for a wide array of goods, including clothing, packaging, transportation infrastructure, construction materials, and ...

AI blood test detects early pancreatic cancer with up to 94% accuracy

A team of researchers from Taiwan has developed PanMETAI, an AI-powered platform that analyzes metabolic fingerprints in a ...
IEEE

On the Effectiveness of Automatic Code Generation for Synthetic Dataset Creation

Abstract: This paper compares synthetic and real-world code datasets for machine learning applications in cybersecurity by examining the relationships between machine code and Low-Level Virtual ...
IEEE

Evaluation of Machine Learning Methods for Pancreatic Cancer Detection Using CT Scans

Abstract: The application of machine learning algorithms in medical image processing has emerged as a possible means of achieving this goal. Early identification of pancreatic cancer is essential for ...
GPS World

Evolution: Machine learning for station specific Ionosphere prediction in GNSS positioning

Ionospheric delay remains a significant error source in GNSS positioning, particularly for single-frequency users and during periods of enhanced space weather ...
northpennnow

Machine Learning Using Python: A Complete Learning Path With Practical Projects

Machine learning is an essential component of artificial intelligence. Whether it’s powering recommendation engines, fraud detection systems, self-driving cars, generative AI, or any of the countless ...
Journal of Medical Internet Research

Machine Learning Techniques Used for the Identification of Sociodemographic Factors Associated With Cancer: Systematic Literature Review

Objective: This review investigates the use of machine learning techniques in the analysis of sociodemographic factors associated with cancer. Specifically, it seeks to map current research endeavors ...