IEEE

Research on Distributed Hybrid Flow Workshop Scheduling Using a Multi-Objective Hybrid Genetic Algorithm

Abstract: With the rapid advancement of intelligent and distributed manufacturing, the Distributed Hybrid Flow Shop Scheduling Problem (DHFSP) has emerged as a key area of research in industrial ...
IEEE

Traffic Aware Load Balancing Routing Algorithm in Satellite Terrestrial Cooperative Network

Abstract: With the continuous development of satellite communication technology, the Satellite Terrestrial Cooperative Network(STCN) plays an increasingly important role in global communication.
IEEE

Osprey Optimization Algorithm and Position-Aware Graph Neural Network for Enhanced Vehicle-to-Grid Control System

Abstract: Optimized Vehicle-to-Grid (V2G) Control System enhances energy management by leveraging Electric Vehicle (EV) as flexible storage units, enabling controlled energy exchange with the grid to ...
IEEE

ISDC-YOLO: A Lightweight Small Object Detection Algorithm Based on Inverted Bottleneck and Semantic Detail Fusion Network for UAV Aerial Image

Abstract: Autonomous aerial vehicle (AAV) object detection in aerial images presents substantial value but also considerable challenges. UAV images often exhibit characteristics such as a high ...
IEEE

A Bayesian Network-Enhanced IMM Algorithm for Complex Ship Trajectory Tracking

Abstract: The tracking of the ship trajectory plays a critical role in the monitoring of maritime safety and navigation optimization. As a representative of multi-model target-tracking algorithms, the ...
IEEE

Comprehensive Analysis on Optimal Routing in Wireless Mesh Network Using Optimization and Machine/Deep Learning Algorithms

Abstract: Wireless Mesh Networks (WMNs) is an important component of wireless communications by enhancing the network coverage. The mesh network topology is interconnecting all nodes in the cluster.
IEEE

Research on Neural Network Hyper-Parameters Optimization Based on Firefly Algorithm

Abstract: Neural networks have demonstrated numerous significant advantages, including the ability to learn quickly, convergence, self-learning, and adaptability. Specifically, neural networks can ...
IEEE

NeuroStorm: An Adaptive Neural-Network-Driven Algorithm for Mixed-Variable Antenna Design

Abstract: Many practical antennas contain continuous, binary, and categorical geometrical variables. Antenna designs involving such mixed-type variables fall under the category of mixed-variable ...
IEEE

A Novel Time-Window Scheduling Algorithm With Network Calculus Model in Time-Sensitive Networking

Abstract: Traffic scheduling plays a critical role in Time-Sensitive Networking (TSN) for ensuring high reliability and deterministic latency. In this paper, we propose a novel window-based scheduling ...
IEEE

An Algorithmic Approach to Optimizing Network Routing Using Dijkstra's Algorithm

Abstract: The high speed, increasing complexity of the modern computer networks have set up a dire requirement of the effective and dependable route systems to ensure the optimum levels of data flow.
IEEE

Optical Flow Estimation Based on Continuous Information in the Compressed Domain

Abstract: Most existing optical flow algorithms require decoding the bitstream back to the original frames before calculating motion between adjacent frames, resulting in low efficiency. In fact, ...
IEEE

Analysis of Traffic Flow Problem Based on K-Means Clustering Algorithm

Abstract: In order to solve the problem of traffic light optimization and traffic flow control in small town scenic spots, this study focuses on the estimation of traffic flow at intersections.