Abstract: Magnetic anomaly detection (MAD) is used for detection of visually obscured ferromagnetic objects such as sunken ship wrecks, unexploded ordnance (UXO), archaeological artifacts and mineral ...
Artificial intelligence is reshaping cybersecurity, but much of that progress has focused on cloud and enterprise ...
(a) The arrows in the figure show the procedure for extracting the damage index, (b) The result shows the detection result of the damage index. A research team from Jinan University, Dongguan ...
Machine-learning models are very good at anomaly detection when properly trained. These artificial-intelligence systems are currently used to identify people, places, and things for self-driving cars ...
Simplify complex datasets using Principal Component Analysis (PCA) in Python. Great for dimensionality reduction and visualization. Gingrich: Time for 'national conversation' about immigrants living ...
Dr. James McCaffrey presents a complete end-to-end demonstration of anomaly detection using k-means data clustering, implemented with JavaScript. Compared to other anomaly detection techniques, ...
Cloud infrastructure anomalies cause significant downtime and financial losses (estimated at $2.5 M/hour for major services). Traditional anomaly detection methods fail to capture complex dependencies ...
Founder and CEO Sergiy Nesterenko, a former SpaceX engineer, decided to start Quilter to automate the electronics design process and help business save time and labor costs. Welcome back to The Prompt ...
College of Robotics, Guangdong Polytechnic of Science and Technology, Zhuhai, Guangdong, China To address the issues of low detection accuracy and poor real-time performance in existing methods for ...
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