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IEEE15h
Adaptive Variable Length Sliding Window Network Coding for Low Latency Transmission in FANETs via Deep Reinforcement Learning - IEEE Xplore
Future flying ad-hoc networks (FANETs) need to address issues related to delay and channel interference while ensuring high data transmission accuracy. In this letter, we propose a proximal policy ...
IEEE1d
Adaptive Spatiotemporal Augmentation for Improving Dynamic Graph Learning - IEEE Xplore
Dynamic graph augmentation is used to improve the performance of dynamic GNNs. Most methods assume temporal locality, meaning that recent edges are more influential than earlier edges. However, for ...
IEEE2d
Adaptive Iterative Learning Algorithm of Strict-feedback Systems with Initial State Error - IEEE Xplore
This paper presents an adaptive iterative learning control algorithm for a class of strict-feedback systems, which can achieve complete tracking with initial st ...
IEEE3d
Adversarial Style-Irrelevant Feature Learning With Refined Soft Pseudo Labels for Domain-Adaptive Vehicle Re-Identification - IEEE Xplore
Domain-adaptive vehicle re-identification is a challenging task that aims to transfer the knowledge from a labeled source domain to an unlabeled target domain for effective vehicle re-identification.
IEEE4d
Adaptive Learning Systems: Revolutionizing Higher Education through AI-Driven Curricula - IEEE Xplore
In the rapidly evolving landscape of higher education, traditional pedagogical methods often fall short in meeting the diverse needs and learning styles of students. This paper advocates for a ...
IEEE7d
Graph Attention Network-Based Unified TCAD Modeling Enabling Fast Design Technology Co-Optimization Through Transfer Learning - IEEE Xplore
An innovative framework that leverages artificial intelligence (AI) and graph representation for semiconductor device encoding in TCAD device simulation is proposed. A graph-based universal encoding ...