News

IEEE8h
Dynamic Semantic Compression for CNN Inference in Multi-Access Edge Computing: A Graph Reinforcement Learning-Based Autoencoder - IEEE Xplore
This paper studies the computational offloading of CNN inference in dynamic multi-access edge computing (MEC) networks. To address the uncertainties in communication time and edge servers’ available ...
IEEE18h
Physical Layer-Aware Route and Spectrum Allocation in Optical Networks by Multi-Objective Deep Reinforcement Learning - IEEE Xplore
We propose a multi-objective Reinforcement Learning approach for RSA in optical networks, integrating awareness of signal quality, delay, and load-balancing. It outperforms traditional algorithms with ...
IEEE2d
A Two-Layer Ensemble Deep Learning Model for Acoustic Seabed Sediment Classification - IEEE Xplore
Seabed sediment information is widely utilized in marine exploration and management. Recent breakthroughs of sonar technology and data processing method have spurred the development of automated ...
IEEE3d
Multi-Layer FSS Prediction Based on Machine Learning
This paper presents a machine learning-based method for predicting the electromagnetic properties of multilayer structures. The complexity introduced by the coupling of these layers is addressed ...
IEEE6d
Deep Learning-Based Classification of Areca Nut Yellow Leaf Disease with ResNet-50 CNN - IEEE Xplore
Detecting healthy arecanut leaves, yellow leaf disease in arecanut, and differentiating these from other types of leaves using deep learning involves designing an advanced neural network model for ...