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Research ArticleOpen accessIn the abstractLiDAR-Based Obstacle Detection and Avoidance for Navigation and Control of an Unmanned Ground Robot Using Model Predictive ControlSai Charan Dekkata, Sun Yi, M. A. Muktadir, Selorm GarfoUnmanned Ground Vehicles (UGVs) have, as of late, been utilized in a wide assortment of utilizations because of their flexibility, diminished expense, and quick response, among other benefits. Search and Rescue (SAR) is quite possibly the most conspicuous zones for the work of UGVs instead of a monitored mission, mainly due to its impediments on the expenses, human resources, and … …Journal of Mechatronics and Robotics, Vol. 7, Issue 1 · 30 Mar 2023 · 8,213 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputer Users Sitting Posture Classification Using Distinct Feature Points and Small Scale Convolutional Neural Network for Humana Computer Intelligent Interactive System During COVID-19Jheanel Estrada, Larry VeaThe sudden change in our workplace practices from face-to-face work to work from home setup due to the pandemic has brought positive and negative impacts on our overall health. In literature, the use of deep learning and specialized cameras in the estimation of the human pose is popular even if there is a need for high computational resources and complex … …Journal of Computer Science, Vol. 19, Issue 4 · 16 Mar 2023 · 6,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Disaster Resilience through Spatial Planning Strategies, a Case Study of Bono Region, GhanaAmponsah Maxwell, Nandi Nandi, Maryani EnokThe adverse impact of climate change has necessitated the global community to leverage spatial planning to curb the negative impacts of such incidents. Disasters continue to occur in human settlements, which makes it necessary to develop resilience through spatial planning strategies. The research question underpinning this study is, how can disaster resilience be improved through spatial planning strategies? Reducing the … …Journal of Social Sciences, Vol. 20, Issue 1 · 30 Dec 2024 · 5,008 accessesView PDFCite
Research ArticleOpen accessIn the abstractMulti-Source Cyber Intrusion Detection Using Ensemble Machine LearningTaskeen Ali Khan, Sara Abbas, Biswaranjan Senapati et al.The increased usage of digital technologies across businesses has led to an increase in cybercrime. It is difficult for existing intrusion detection systems to detect highly skilled hacking attempts; however, machine learning has been suggested as a way around these drawbacks. The purpose of this study is to evaluate how well various machine learning algorithms identify and stop cyberattacks in … …Journal of Computer Science, Vol. 21, Issue 1 · 14 Dec 2024 · 5,696 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Asthma Control in Children During the COVID-19 Pandemic: A Cross-Sectional Study at a Pediatric Hospital in Marrakech (Morroco)Maryem Labyad, Karima El Fakiri, Abdelmounaim Baslam et al.Effective management of childhood asthma relies on regular and objective assessments to ensure optimal control. However, the implementation of containment measures during the COVID-19 pandemic has led to the postponement of pediatric consultations, posing significant challenges for children with asthma. This study aimed to evaluate asthma control among children attending pediatric consultations at the mother-child hospital in Marrakech during the … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 5 Jun 2024 · 4,895 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiscrete Shearlet Transform and Lempel-Ziv Welch Coding for Lossless Fingerprint Image CompressionNahidah A. Kadim, Shawkat K. Guirguis, Hend A. ElsayedImage compression is a crucial task in image processing and in the process of sending and receiving files. There is a need for effective techniques for image compression as the raw images require large amounts of disk space to defect during transportation and storage operations. The most important objective of image compression is to decrease the redundancy of the image … …Journal of Computer Science, Vol. 20, Issue 5 · 5 Mar 2024 · 5,485 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssociations of HSD17B1 Gene Expression with its DNA Methylation and Estradiol Level in Polycystic Ovary Syndrome Indonesian PatientsRina Puspita, Andon Hestiantoro et al.PCOS's origin and mechanism are still unknown. Epigenetics has been linked to PCOS in an increasing number of studies in recent years. The most extensively researched epigenetic alteration is DNA methylation. During organismal development, DNA methylation can control gene expression by altering transcription factor binding. The alterations in DNA methylation are directly associated with follicular development in PCOS. Studies show … …OnLine Journal of Biological Sciences, Vol. 24, Issue 2 · 8 Jan 2024 · 5,399 accessesView PDFCite
Research ArticleOpen accessIn the abstractGrowth Dynamics and Meat Productivity of the Kushum Horse BreedOtebayev Zhassulan, Akimbekov Amin, Alpeisov Shokhan et al.In the conditions of the south-eastern zone of the Almaty region under herd management conditions without altering the existing husbandry practices the meat productivity of Kushum breed of horses is increased in the Bayserke Agro Farm due to breeding of highly productive stallions and mares of the Kushum breed. The primary objective of this study is to assess the productivity, … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 3 · 4 Dec 2025 · 2,743 accessesView PDFCite
Research ArticleOpen accessIn the abstractSelf-Supervised Contrastive Learning for Steering Angle Prediction in Autonomous Driving SimulationsMaxson Phang, Suryadiputra LiawatimenaPredicting steering angles is a crucial task in autonomous driving, with end-to-end deep learning being a widely used approach. However, such models often suffer from overfitting to learned trajectories, limiting their generalization to new data. To address this, self-supervised contrastive learning is explored as an alternative, allowing models to learn meaningful representations without labeled data. The primary objective is to … …Journal of Computer Science, Vol. 21, Issue 9 · 20 Oct 2025 · 2,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractGeneration Z Health Trends: Data Mining of Sleep and Lifestyle PatternsFrancka Sakti Lee, Johanes Fernandes Andry, Kevin Christianto et al.This study analyzes sleep health and lifestyle data among Generation Z using RapidMiner to identify key issues such as insomnia and stress within this demographic. The research is motivated by the increasing concerns surrounding sleep health and lifestyle choices that significantly impact overall well-being. The primary objective is to identify patterns and correlations in health data to inform targeted interventions … …Journal of Computer Science, Vol. 21, Issue 9 · 19 Oct 2025 · 3,632 accessesView PDFCite