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Research ArticleOpen accessIn the abstractEvaluating Plant Species Suitability for a Substrate-Free Tropical Green RoofBruno R. Silva, André Mantovani, Dulce G. Mantuano et al.Greenroofs reduce building exterior-interior thermal flux and mitigate high internal air temperatures, especially in tropical climates. Tropical greenroofs are given little attention and their use remains restricted to a very low percentage of roofs due to high costs compared to traditional roofs, weight overload (mainly due to the chosen substrate) and potential waterproofing problems. We here present an alternative greenroof … …OnLine Journal of Biological Sciences, Vol. 18, Issue 4 · 11 Oct 2018 · 7,523 accessesView PDFCite
Case ReportOpen accessIn the abstractQuery Optimization on Distributed Database Dengue Fever by Minimizing Attribute InvolvementSlamet Sudaryanto Nurhendratno, Sudaryanto, Fikri Budiman, Maryani SetyowatiQuery optimization is an important task in a client/server environment of a distributed database, whereas a health epidemiologist data distribution based on DBD data on Geographic Information Systems (GIS). A proper method for a particular query process function is needed to generate query optimization on a distributed database. The query process requires important attention especially in distributed databases because the … …Journal of Computer Science, Vol. 14, Issue 4 · 7 Apr 2018 · 8,327 accessesView PDFCite
Research ArticleOpen accessIn the abstractModel for Automated and Improved Utilization of Existing Computer Resources on an Example of Web ServersDino Alagić, Ivan MagdalenićInformation technology is under constant innovation pressure to provide the highest level of data availability – i.e., the continuous functioning of operating systems. This is the very reason for an accelerated development of complex systems encompassed by the term cloud computing. Among other things, such solutions are aimed to ensure high-level availability of complex systems and architecture. Numerous studies indicate … …Journal of Computer Science, Vol. 14, Issue 2 · 2 Mar 2018 · 8,270 accessesView PDFCite
Research ArticleOpen accessIn the abstractOn a New Equation for the Design and Development of Space Launch VehiclesZaheen Abdur RahmanIt is a general consensus amongst the global scientific community that space is the final frontier for human exploration. It has also been reasoned by them that in order to survive in this hostile universe, humanity has to become a multi-planetary species. For that reason, according to calculations made after mapping the human genome, over 10,000 people are needed to … …Journal of Aircraft and Spacecraft Technology, Vol. 2, Issue 1 · 26 Feb 2018 · 7,410 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysis Quantum Implementation of Double AES Cryptography for Secure QR Code GenerationJimmy Wijaya, RojaliData security faces unprecedented challenges due to the rapid advancement of quantum computing technologies, which threaten to compromise foundational classical cryptographic algorithms. This study investigates the quantum implementation of a Double Advanced Encryption Standard (Double AES) scheme for generating secure, tamper-resistant Quick Response (QR) codes. The research encompasses architectural design, quantum circuit construction, and empirical performance evaluation across encryption/decryption execution … …Journal of Computer Science, Vol. 22, Issue 9 · 20 Sep 2026 · 571 accessesView PDFCite
Research ArticleOpen accessIn the abstractMarine-Derived Extracts as Economically Sustainable and Ethical Alternatives to Fetal Bovine Serum in HEK293 Cell CultureKian Kenneth Francisco Sanchez, Jennifer Seki-Wong et al.Fetal Bovine Serum (FBS) is a staple supplement in cell culture, providing key growth factors that promote cell health and proliferation. Since 1885, cell culture has been a cornerstone of both basic and applied research, leading to significant discoveries of cell communication and function. However, the use of FBS presents economic and ethical challenges. Millions of bovine fetuses are euthanized … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 7 Aug 2026 · 1,042 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnchoring Public Health Forecasts: High-Precision Obesity Prevalence Estimation Via Hybrid Geodemographic Ensemble RegressionTrenton Ward, Isaac OsunmakindeObesity remains a major driver of chronic disease and rising healthcare costs in the United States. Yet, most existing predictive models rely on single-model classifiers and rarely incorporate spatial structure or ensemble-based regression, thereby limiting their ability to capture geodemographic variation. This study introduces a hybrid unsupervised–supervised ensemble framework that integrates K-Means spatial profiling with a Stacking Regressor to address … …Journal of Computer Science, Vol. 22, Issue 7 · 31 Jul 2026 · 632 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimization of Non-Technical Electricity Loss Detection Using Artificial Neural Networks: Case of Cameroon Distribution NetworkLekini Nkodo Claude Bernard, Bell Serge Samuel, Nyemb Nsoga Valjacques et al.Non-Technical Losses (NTL) represent a critical challenge for power utilities, particularly in developing countries. This paper proposes an unsupervised deep learning approach based on an autoencoder to detect abnormal electricity consumption patterns in the Cameroonian distribution network. The model learns normal customer behavior using historical consumption data and identifies anomalies through reconstruction error analysis. Statistical thresholds are applied to classify … …American Journal of Engineering and Applied Sciences, Vol. 19, Issue 1 · 23 Jul 2026 · 1,225 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing DevOps Pipelines With Viral Spread Optimization and Hybrid Deep LearningDileepkumar S R, Juby MathewModern software teams rely on Continuous Integration and Continuous Deployment (CI/CD) pipelines to automate testing and delivery. However, these pipelines often waste resources by running unnecessary tests and failing to predict which builds will fail. This study presents a new framework that addresses three key challenges: (1) deciding which tests to run first, (2) predicting which builds will fail, and … …Journal of Computer Science, Vol. 22, Issue 6 · 3 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractMCWDRL: Multi-Cloud Workflow Scheduling Using Deep Reinforcement Learning and Improved Workflow Segmentation for Multi-Cloud EnvironmentsS. Gowri, A. SumathiThe rapid growth of cloud computing has led to complex workflow scheduling challenges in multi-cloud environments, where efficient resource utilization, minimized makespan, and reduced costs are paramount. Traditional scheduling algorithms often struggle to adapt to the dynamic nature of cloud resources and workflows, leading to suboptimal performance. To overcome this issue, the paper proposed a novel Multi-Cloud Workflow Scheduling using … …Journal of Computer Science, Vol. 22, Issue 6 · 1 Jul 2026 · 933 accessesView PDFCite