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142 results for “Minimizing”
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Research ArticleOpen accessIn the abstractPerformance Prediction Model for Predictive Maintenance Based on K-Nearest Neighbor Method for Air Navigation Equipment FacilitiesRachmat Hidayat, Ditdit Nugeraha UtamaThe aging of air navigation facilities leads to a decline in equipment performance and reliability, posing significant challenges for aviation organizations in the large-scale replacement of outdated systems, as well as in managing budgets and resources. To address these issues, a performance prediction model for equipment was developed using the K-Nearest Neighbor (KNN) method, aimed at enhancing maintenance planning and … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 5,661 accessesView PDFCite
Research ArticleOpen accessIn the abstractQuay Crane Scheduling in Container Terminals Using a Hybrid Genetic AlgorithmAidi Sanaa, Torbi Imane, Mazouzi MohamedContainer terminals are crucial nodes within the global supply chain, playing a vital role in the efficient movement of goods. Effective scheduling of Quay Cranes (QCs) is a key factor in maximizing port productivity and minimizing delays. This research investigates the Quay Crane Scheduling Problem (QCSP) using a Hybrid Genetic Algorithm (HGA). The proposed HGA method combines the exploratory power … …Journal of Computer Science, Vol. 21, Issue 1 · 26 Dec 2024 · 6,013 accessesView PDFCite
Research ArticleOpen accessIn the abstractEfficient Resource Allocation and Task Scheduling in a Cloud Computing Environment using Swarm IntelligencePanuganti Hanumantha Rao, Rajakumar Subramanian, Geetha SomanThe new age of network-based computing, known as "cloud computing," is characterized by the distribution and sharing of resources over a network. These resources are available to anyone through the Internet on a pay-per-use basis. Any service that anybody uses can generate massive amounts of data. Therefore, in this scenario, there will be a significant cost associated with transferring data … …Journal of Computer Science, Vol. 20, Issue 12 · 7 Nov 2024 · 4,719 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Method for Fast and Robust Intensity Based 2D/3D Registration in Differentiable FrameworkAgung Alfiansyah, Izzati Muhimmah, Arif Sasongko et al.This study introduces an innovative intensity-based registration method designed to align 3D image data volumes, such as Computed Tomography (CT), with 2D data, such as X-ray images, a crucial component of intra-operative navigation in image-guided surgery. Leveraging advanced autodifferentiable reconstruction techniques based on the GPU-accelerated Siddon algorithm, the proposed approach facilitates the generation of differentiable Digitally Reconstructed Radiographs (DRRs), enabling … …Journal of Computer Science, Vol. 20, Issue 12 · 24 Oct 2024 · 4,825 accessesView PDFCite
Research ArticleOpen accessIn the abstractTesting React Native Mobile Apps: Pruning GUI Model ApproachRand Marwan Khalil Ibrahim, Samer ZeinThe mobile app market is still in continual growth. People are migrating to smartphone mobile devices to accomplish their daily activities while working, playing, and communicating with others. From the developers' perspective, there exists a wide variety of platforms, technologies, and architecture choices for developing and testing mobile apps. However, because of the constant changes in software applications and the … …Journal of Computer Science, Vol. 20, Issue 6 · 12 Mar 2024 · 6,075 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Antimicrobial Stewardship Program During COVID-19 Era: Cost Effectiveness and Mortality RatesSafaa Alkhiami, Anass Qasem, Hussein Mohamed Hussein, Ali AbdallaThe growing spread of antimicrobial resistance is a major problem on a global level that has provoked several health and government organizations to call for action to counteract the problem. The frequent misuse of antibiotics is prevalent within hospital settings, especially during the COVID-19 era. The introduction of antibiotic stewardship initiatives has demonstrated the capability to decrease both unwarranted antibiotic … …American Journal of Infectious Diseases, Vol. 19, Issue 4 · 30 Jan 2024 · 6,292 accessesView PDFCite
Research ArticleOpen accessIn the abstractSystematic Optimization of Ganoderma lucidum Polysaccharide Fermentation: A Guidance for IndustrializationBin Yang, Junhu Kai, Dehui Dai et al.Ganoderma Lucidum Polysaccharide (GLP) is one of the main active components of G. lucidum and a promising prebiotic for various diseases. Maximizing the production of GLP and minimizing the cost is important for the widespread use of GLP in the food/feed and pharmaceutical industries. The purpose of the present study was to optimize the fermentation condition of a single G. … …American Journal of Biochemistry and Biotechnology, Vol. 19, Issue 4 · 30 Jan 2024 · 5,741 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Spectrum Sensing and Allocation Model for Primary User Detection and Interference Mitigation in Television WhitespacesJoachim Notcker, Emmanuel Adetiba et al.Television White Space (TVWS) emerges as an encouraging solution to address the challenge of a restricted wireless communication spectrum. It denotes the frequency range spanning from 54-790 MHz and researchers have increasingly explored its propagation characteristics in recent years. Nonetheless, a notable hindrance to its effective utilization lies in the interference between primary and secondary users, as well as interference … …Journal of Computer Science, Vol. 20, Issue 3 · 29 Jan 2024 · 5,234 accessesView PDFCite
Research ArticleOpen accessIn the abstractPropose a System of Collecting and Analyzing Casual Labor Data in Libya Based on Distributed Systems and Weka VisualizationMagda Shuayb, Ashraf Fadiel, Taher Abu-LebdehThe aim of this research is to propose a system for collecting and analyzing casual labor data in Libya, leveraging distributed systems and the Weka visualization tool. The current labor market in Libya relies heavily on casual labor, which poses challenges in terms of data collection and analysis due to its decentralized nature. The proposed system aims to address these … …American Journal of Engineering and Applied Sciences, Vol. 16, Issue 4 · 8 Jan 2024 · 4,892 accessesView PDFCite
Research ArticleOpen accessIn the abstractCybersecurity Mechanism for Automatic Detection of IoT Intrusions Using Machine LearningCheikhane Seyed, MBaye Kebe, Mohamed El Moustapha El Arby et al.This article proposes an ML-based cyber security mechanism to optimize intrusion detection that attacks internet objects (IoT). Our approach consists of bringing together several learning methods namely supervised learning, unsupervised learning and reinforcement learning within the same Canvas. The objective is to choose among them the most optimal for classifying and predicting attacks while minimizing the impact linked to the … …Journal of Computer Science, Vol. 20, Issue 1 · 11 Dec 2023 · 6,186 accessesView PDFCite