Scientific Research Publishing

A Spatio-Temporal Prediction Model for Wall Turbulence Based on Hybrid Neural Networks ()

The spatio-temporal evolution of wall-bounded turbulence is characterized by high nonlinearity, multi-scale dynamics, and chaotic nature, making its accurate prediction a significant challenge for ...
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 ...
WeLiveSecurity

PlushDaemon compromises network devices for adversary-in-the-middle attacks

ESET researchers provide insights into how PlushDaemon performs adversary-in-the-middle attacks using a previously undocumented network implant that we have named EdgeStepper, which redirects all DNS ...