Deep neural networks (DNNs) have become a cornerstone of modern AI technology, driving a thriving field of research in ...
Abstract: Accurately describing a picture has turned out to be a crucial problem, and expert system researchers have always been interested in image captioning, sometimes referred to as characterizing ...
Abstract: Traditional signature-based malware detection techniques struggle to keep up with the evolving nature of malicious software. These traditional methods often fail to detect novel, obfuscated, ...
Abstract: This study develops an automated system for classifying the quality of personal identity documents (National Identification Card, Family Card, and Birth Certificates) using three deep ...
Abstract: Effective waste detection remains a pressing challenge due to the variability, clutter, and inconsistent visual characteristics of waste environments. This state-of-the-art review rigorously ...
Safely achieving end-to-end autonomous driving is the cornerstone of Level 4 autonomy and the primary reason it hasn’t been widely adopted. The main difference between Level 3 and Level 4 is the ...
For people, matching what they see on the ground to a map is second nature. For computers, it has been a major challenge. A Cornell research team has introduced a new method that helps machines make ...
The first round of the 2025-26 College Football Playoff is in the books. It went mostly chalk in the first round this year. Alabama came from behind to take down Oklahoma on Friday night. On Saturday, ...
As more people rediscover the charm of simple living, the tiny home movement continues to grow and expand into more areas of the world. Many of today's tiny homes are far removed from the basic, ...
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