Data-Filtered Prediction With Decomposition and Amplitude-Aware Permutation Entropy for Workload and Resource Utilization in Cloud Data Centers

H Yuan, Q Hu, M Wang, S Wang, J Bi… - IEEE Internet of …, 2025 - ieeexplore.ieee.org
In recent years, cloud computing has witnessed widespread applications across numerous
organizations. Predicting workload and computing resource data can facilitate proactive …

Attention-Enhanced Dual-Branch Residual Network with Adaptive L-Softmax Loss for Specific Emitter Identification under Low-Signal-to-Noise Ratio Conditions

Z Jing, P Li, B Wu, E Yan, Y Chen, Y Gao - Remote Sensing, 2024 - mdpi.com
To address the issue associated with poor accuracy rates for specific emitter identification
(SEI) under low signal-to-noise ratio (SNR) conditions, where the single-dimension radar …

DPDS: A Systematic Framework for Few-Shot Specific Emitter Incremental Identification

W Shi, F Teng, Y Lei, H Jin - IEEE Internet of Things Journal, 2024 - ieeexplore.ieee.org
Specific emitter identification (SEI) technology is crucial for supporting emergency response
and safety alerts, and it plays a significant role in maintaining the stable operation and …