TTC OPERATED BY ENSCO, RAILWAY AGE OCTOBER 2025 ISSUE: Trespassing along a rail corridor remains one of the most important and challenging issues that railroad operators face every day. Trespassing on ...
Abstract: This paper focuses on the application of distributed machine learning algorithms in the construction of visual knowledge graphs, delves deeply into the design principles of visual knowledge ...
University of Sheffield researchers developed a machine learning framework to improve coating properties in a roll-to-roll slot die coating process. The work is seen as an initial step toward broader ...
ABSTRACT: In today’s digital background, sentiment analysis has become an essential factor of Natural Language Processing (NLP), offering valuable insights from vast online data sources. This paper ...
If you rotate an image of a molecular structure, a human can tell the rotated image is still the same molecule, but a machine-learning model might think it is a new data point. In computer science ...
Patent applications on artificial intelligence and machine learning have soared in recent years, yet legal guidance on the patentability of AI and machine learning algorithms remains scarce. The US ...
Abstract: Most decision-making processes worldwide are increasingly relying on artificial intelligence (AI) algorithms to enhance human welfare. Explainable Artificial Intelligence (XAI) techniques ...
SAVANA uses a machine learning algorithm to identify cancer-specific structural variations and copy number aberrations in long-read DNA sequencing data. The complex structure of cancer genomes means ...
Quantum cryptography has emerged as a radical research field aimed at mitigating various security threats in modern communication systems. The integration of Quantum Machine Learning (QML) protocols ...
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