AI analysis of data from multiple sensors can improve earthquake detection

One seismometer is often not enough to reliably detect earthquakes or human activity such as underground nuclear tests.
Semiconductor Engineering

Observability Is A Missing Layer In AI-Era Chiplet Design

In next-generation silicon, AI can interpret system behavior at scale, but only if observability is designed into the fabric ...
IEEE

Enhanced Bearing Fault Detection in Induction Motors Using Projection-Based SVM

Abstract: Fine-tuning the hyperparameters of the Support Vector Machine (SVM) is crucial to making it an accurate classifier in fault detection. The convergence rate of the optimiser and its ...
Journal of Medical Internet Research

Clinical Decision Support Using Speech Signal Analysis: Systematic Scoping Review of Neurological Disorders

Articles that focused on speech signal analysis for clinical decision-making were identified, and the included studies were analyzed quantitatively. A narrower scope of studies investigating ...
IEEE

Speed Signature Analysis for Servo Motor Bearing Fault Detection Under Dynamic Load Conditions

Abstract: As a noninvasive detection method, speed signature analysis for servo motor bearing fault detection has attracted much attention in recent years. The selection of the optimal demodulation ...
USA Today

San Andreas Fault stress hits 1,000-year high, raising quake risk

New research finds the San Andreas and San Jacinto faults in Southern California are more stressed now than at any time in 1,000 years, raising long-term earthquake risk for millions. Scientists ...
IEEE

Fault Isolation and Failure Analysis Challenges in Microelectronic Devices with Heterogeneous Integration: EDFAS FA Technology Roadmap Overview

IEEE.tv is made possible by the Members of IEEE. This feature is accessible to IEEE Members only, with an IEEE Account. If you are an IEEE Member please sign in to ...