Algorithms, Vol. 17, Pages 202: Enforcing Traffic Safety: A Deep Learning Approach for Detecting Motorcyclists’ Helmet Violations Using YOLOv8 and Deep Convolutional Generative Adversarial Network-Generated Images Algorithms doi: 10.3390/a17050202 Authors: Maged Shoman Tarek Ghoul Gabriel Lanzaro Tala Alsharif Suliman Gargoum Tarek Sayed In this study, we introduce an innovative methodology for the detection of helmet usage violations among motorcyclists, integrating the YOLOv8 object detection algorithm with deep convolutional generative adversarial networks (DCGANs). The objective ..read more

Algorithms, Vol. 17, Pages 203: Segmentation and Tracking Based on Equalized Memory Matching Network and Its Application in Electric Substation Inspection Algorithms doi: 10.3390/a17050203 Authors: Huanlong Zhang Bin Zhou Yangyang Tian Zhe Li With the wide application of deep learning, power inspection technology has made great progress. However, substation inspection videos often present challenges such as complex backgrounds, uneven lighting distribution, variations in the appearance of power equipment targets, and occlusions, which increase the difficulty of object segmentation and tracking ..read more

Algorithms, Vol. 17, Pages 204: Three-Dimensional Finite Element Modeling of Ultrasonic Vibration-Assisted Milling of the Nomex Honeycomb Structure Algorithms doi: 10.3390/a17050204 Authors: Tarik Zarrouk Mohammed Nouari Jamal-Eddine Salhi Mohammed Abbadi Ahmed Abbadi Machining of Nomex honeycomb composite (NHC) structures is of critical importance in manufacturing parts to the specifications required in the aerospace industry. However, the special characteristics of the Nomex honeycomb structure, including its composite nature and complex geometry, require a specific machining approach to avo ..read more

Algorithms, Vol. 17, Pages 201: Anomaly Detection in Blockchain Networks Using Unsupervised Learning: A Survey Algorithms doi: 10.3390/a17050201 Authors: Christos Cholevas Eftychia Angeli Zacharoula Sereti Emmanouil Mavrikos George E. Tsekouras In decentralized systems, the quest for heightened security and integrity within blockchain networks becomes an issue. This survey investigates anomaly detection techniques in blockchain ecosystems through the lens of unsupervised learning, delving into the intricacies and going through the complex tapestry of abnormal behaviors by examining avant-garde ..read more

Algorithms, Vol. 17, Pages 200: A Sim-Learnheuristic for the Team Orienteering Problem: Applications to Unmanned Aerial Vehicles Algorithms doi: 10.3390/a17050200 Authors: Mohammad Peyman Xabier A. Martin Javier Panadero Angel A. Juan In this paper, we introduce a novel sim-learnheuristic method designed to address the team orienteering problem (TOP) with a particular focus on its application in the context of unmanned aerial vehicles (UAVs). Unlike most prior research, which primarily focuses on the deterministic and stochastic versions of the TOP, our approach considers a hybrid scenario, wh ..read more

Algorithms, Vol. 17, Pages 197: Intelligent Ship Scheduling and Path Planning Method for Maritime Emergency Rescue Algorithms doi: 10.3390/a17050197 Authors: Wen Ying Zhaohui Wang Hui Li Sheng Du Man Zhao Intelligent ship navigation scheduling and planning is of great significance for ensuring the safety of maritime production and life and promoting the development of the marine economy. In this paper, an intelligent ship scheduling and path planning method is proposed for a practical application scenario wherein the emergency rescue center receives rescue messages and dispatches emergency res ..read more

Algorithms, Vol. 17, Pages 199: MVACLNet: A Multimodal Virtual Augmentation Contrastive Learning Network for Rumor Detection Algorithms doi: 10.3390/a17050199 Authors: Xin Liu Mingjiang Pang Qiang Li Jiehan Zhou Haiwen Wang Dawei Yang In today’s digital era, rumors spreading on social media threaten societal stability and individuals’ daily lives, especially multimodal rumors. Hence, there is an urgent need for effective multimodal rumor detection methods. However, existing approaches often overlook the insufficient diversity of multimodal samples in feature space a ..read more

Algorithms, Vol. 17, Pages 198: Three Cube Packing for All Dimensions Algorithms doi: 10.3390/a17050198 Authors: Peter Adamko Let Vn(d) denote the least number, such that every collection of n d-cubes with total volume 1 in d-dimensional (Euclidean) space can be packed parallelly into some d-box of volume Vn(d). We show that V3(d)=r1−dd if d≥11 and V3(d)=1r+1rd+1r−rd+1 if 2≤d≤10, where r is the only solution of the equation 2(d−1)kd+dkd−1=1 on 22,1 and (k+1)d(1−k)d&minus ..read more

Algorithms, Vol. 17, Pages 196: Performance-Constraint Fault Tolerant Control to Aircraft in Presence of Actuator Deviation Algorithms doi: 10.3390/a17050196 Authors: Peng Tang Chuangxin Zhao Shizhe Liang Yuehong Dai Accuracy of electro-mechanical actuator in aircraft is susceptible to variable operation conditions such as electromagnetic interference, changeable temperature or loss of maintenance, leading in turn to flight performance degradation. This paper proposed an unified control paradigm that aims to keep aircraft’s velocity in a safe boundary and shorten the system stabi ..read more

Algorithms, Vol. 17, Pages 195: An Enhanced Particle Swarm Optimization (PSO) Algorithm Employing Quasi-Random Numbers Algorithms doi: 10.3390/a17050195 Authors: Shiva Kumar Kannan Urmila Diwekar This paper introduces an innovative Particle Swarm Optimization (PSO) Algorithm incorporating Sobol and Halton random number samplings. It evaluates the enhanced PSO’s performance against conventional PSO employing Monte Carlo random number samplings. The comparison involves assessing the algorithms across nine benchmark problems and the renowned Travelling Salesman Problem (TSP). The re ..read more