Scientific Research Publishing

Wu, H., Li, J., Zhang, Q., Tao, J. and Meng, Z. (2022) Intelligent Fault Diagnosis of Rolling Bearings under Varying Operating Conditions Based on Domain-Adversarial Neural ...

ABSTRACT: Under variable-speed conditions in modern industry, rolling bearing vibration signals are highly non-stationary, and fault features are easily obscured by speed interference and noise.
The Courier-Journal

Tiami Networks Introduces Deployable All-Domain Sensing Portfolio

Tiami Networks Introduces Deployable All-Domain Sensing Portfolio, Expanding Wireless Awareness Across Network, Mobility, and Non-Terrestrial Environments BARCELONA ...
Frontiers

Ensemble transformer-based multiple instance learning for predicting neoadjuvant chemotherapy response from breast cancer biopsy whole-slide images

Neoadjuvant chemotherapy (NAC) is a cornerstone of breast cancer management, and accurate prediction of therapeutic efficacy is essential for optimizing treatment strategies and improving patient ...
IEEE

Domain Adaptation Using Adversarial Neural Network with Correlation Alignment Loss for Household Appliance Classification

Abstract: Energy monitoring and appliance identification are critical for addressing energy crisis and environmental pollution. However, variations in appliance load profiles across different ...
Forbes

AI, Simulation, And The Generative Adversarial Network

Forbes contributors publish independent expert analyses and insights. I am an MIT Senior Fellow & Lecturer, 5x-founder & VC investing in AI AI is big and powerful – many humans with even a passing ...
IEEE

Channel-Robust Specific Emitter Identification Based on Domain-Adversarial Training of Neural Networks and Multi-Feature Fusion

Abstract: To address the significant decline in the accuracy of Specific Emitter Identification(SEI) under wireless channel, we propose a novel method that combines a domain adversarial network with ...