Overview: Structured online platforms provide clear, step-by-step learning paths for beginners.Real progress in data science comes from hands-on projects and co ...

User expectations: Platform norms have evolved. On YouTube, viewers are accustomed to videos in the ~5–15 minute range for tutorials, vlogs, and reviews. Much shorter, and they may assume the content ...

Department of Biotechnology, School of Arts and Sciences, American University of Ras Al Khaimah, Ras Al Khaimah, United Arab Emirates Artificial Intelligence and machine learning tools have brought a ...

Background: Previous scholars have conducted a series of explorations on the relationship between learning approaches and mathematical creativity, but it remains unclear how deep learning approach ...

Learn about DenseNet, one of the most powerful deep learning architectures, in this beginner-friendly tutorial. Understand its structure, advantages, and how it’s used in real-world AI applications.

Deep learning is an AI function and a subset of machine learning, used for processing large amounts of complex data. Deep learning can automatically create algorithms based on data patterns.

ABSTRACT: Magnetic Resonance Imaging (MRI) is commonly applied to clinical diagnostics owing to its high soft-tissue contrast and lack of invasiveness. However, its sensitivity to noise, attributable ...

Abstract: Recent advancements in deep learning have significantly improved video forensics, crucial for security and law enforcement. This field addresses video tampering detection, source ...

Objectives: Gain hands-on, code-first experience with deep learning theories, models, and skills that are useful for applications and for advancing science. We focus on how to decide which problems ...

Abstract: This paper presents a sports recognition technique that applies a deep learning approach for a video data, addressing the major problems posed by traditional models which find it difficult ...