The systematic framework for the proposed multi-liquid identification is depicted in Fig. 1. The system comprises a space-time-coding metasurface illuminated by a feeding pyramidal horn antenna, a ...
2UrbanGirls on MSN
Secure data warehousing in ERP environments: An AI-based multimodal threat detection framework by Emmanuel Philip Nittala
In an era where data has become one of the most valuable assets for organizations, protecting that data is a strategic ...
AI enhances leukemia diagnosis by automating image analysis, reducing subjectivity, and accelerating processes, especially in low-resource settings. Convolutional neural networks outperform ...
The cybersecurity landscape in 2026 presents unprecedented challenges for organizations across all industries. With cybercrime damages projected to exceed $10.5 trillion annually, enterprises face ...
Traditional standalone security systems have inherently faced challenges related to false alarms and false dispatches. The integration of situational-awareness technologies presents a proven solution ...
CAT scans detecting cancer is nothing new. But now, doctors are using artificial intelligence to spot cancer even sooner.“I'm here three years later because I did find out and because I did finally ...
"If we label a real audio as fake, let's say, in a political context, what does that mean for the world? We lose trust in everything," says Sarah Barrington, an AI and forensics researcher at the ...
How Does Pedestrian Detection Work? Pedestrian detection systems combine various technologies to effectively detect and track pedestrians. These technologies work in tandem to create a comprehensive ...
Some results have been hidden because they may be inaccessible to you
Show inaccessible results
Feedback