Complementary biochemical and structural findings reveal molecular principles underlying substrate selectivity by a model hyaluronan synthase.

As artificial intelligence rapidly reshapes how organisations build products, manage risk, serve customers and run operations, the need for professionals who can design, deploy and govern intelligent ...

A clear understanding of the fundamentals of ML improves the quality of explanations in interviews.Practical knowledge of Python libraries can be ...

If you had walked onto a trading floor thirty years ago, you would have heard noise before you saw anything. Phones ringing, ...

The specific focus of this PhD research project is on integration of non-terrestrial networks (NTN) (aka satellite communication networks) with terrestrial networks (TN) (5G/6G mobile networks). Fully ...

Abstract: This study presents a multifaceted classification framework using machine learning (ML) to evaluate transport services. The framework integrates feedback analysis, sensor-based monitoring, ...

1 Department of Computer and Instructional Technologies Education, Gazi Faculty of Education, Gazi University, Ankara, Türkiye. 2 Department of Forensic Informatics, Institute of Informatics, Gazi ...

Overview: Free YouTube channels provide structured playlists covering AI, ML, and analytics fundamentals.Practical coding demonstrations help build real-world d ...

OBJECTIVE: Obesity is a global health problem. The aim is to analyze the effectiveness of machine learning models in predicting obesity classes and to determine which model performs best in obesity ...

Abstract: This paper proposes a hybrid deep learning model integrating DenseNet201 and InceptionV3 to address the challenges in achieving accurate and reliable cervical cancer classification. Current ...

The objective of this project is to build and compare multiple machine learning classification models to predict wine quality. The task involves classifying wines into two categories: Good Quality ...