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Research ArticleOpen accessIn the abstractFeature Extraction of Sit-to-Stand Transition Using Vision-Based Pose EstimationAchmad Rizal, Bayu Erfianto, Sugondo Hadiyoso, IstiqomahSit-to-Stand Transition (STS) and vice versa are important indicators of independence and physical health. For normal people, this movement is easy to do but can be difficult for people who have health problems, such as those who have had an injury or stroke. Sit-to-stand assessments can be used to detect spinal disorders. However, spinal kinematic measurements require special instrumentation and … …Journal of Computer Science, Vol. 21, Issue 3 · 21 Feb 2025 · 6,204 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiscrete to Continuous Algorithm for Optimal Channel Selection to Detect Alcoholism through EEG RecordingsHayat Sedrati, Wajih Rhalem et al.Alcoholism is a serious public health issue, and early diagnosis of this brain disease can be performed by analyzing Electroencephalogram (EEG) signals. However, the high dimensionality of EEG datasets requires significant computational time and resources for the automatic processing of EEG signals. This study proposes a novel method to reduce EEG dataset dimensionality using a Discrete to Continuous algorithm (DtC) … …Journal of Computer Science, Vol. 19, Issue 1 · 17 Jan 2023 · 5,904 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesign and Analysis of a Helium-Assisted Hybrid Drone for Flight Time EnhancementGeronimo Macias, Kooktae LeeIn this study, a new design of a helium-assisted hybrid drone is proposed for flight time enhancement. As is widely known, most of the drones with a Vertical Take-Off and Landing (VTOL) feature have a short operation time, limiting their capability to carry out sustainable operations for the given missions. Thus, with the clear goal of enhancing flight time, this … …American Journal of Engineering and Applied Sciences, Vol. 15, Issue 4 · 23 Dec 2022 · 6,373 accessesView PDFCite
Research ArticleOpen accessIn the abstractTrends in the Prevalence of Clostridioides difficile Using Real Time PCR in South Korea (2020-2024)Yonghee Lee, Yoo Na Chung, Jae Kyung KimClostridioides difficile is a major cause of infection in healthcare settings, and frequent antibiotic use exacerbates its occurrence. C. difficile infection (CDI) is a major public-health challenge owing to its complications and high mortality rate. We aimed to analyze current trends in C. difficile prevalence. This study was a retrospective, single center analysis of 7,371 samples from April 2020 to … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 2 · 3 Oct 2025 · 2,358 accessesView PDFCite
Research ArticleOpen accessIn the abstractOne Time Password (OTP) Solution for Two Factor Authentication: A Practical Case StudyOscar Efrén Acosta Mayorga, Sang Guun YooCurrently, static passwords are no longer secure, they expose accounts and data, more advanced and sophisticated approaches are required to guarantee user authentication and operations in digital systems. In this context, this study investigates how in a practical application, addressing security challenges in user authentication using One Time Passwords (OTP) can strengthen two-Factor Authentication (2FA), the use of a sec … …Journal of Computer Science, Vol. 21, Issue 5 · 26 Apr 2025 · 8,452 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Fuzzy Logic-Based Smart Traffic Management SystemsAdel Abdallah Abdou, Mohamed Hassan Farrag, A. S. TolbaTraffic congestion is a serious problem in many developing countrieslike Egypt. In the presence of thetraditional traffic light system, it creates health risks, wastes time andfuel, and pollutes the air. Therefore, there is a big need for a smart trafficmanagement system. This study contributes in solving this problem byintroducing an artificial intelligence-based smart traffic light system usingfuzzy logic to ensure … …Journal of Computer Science, Vol. 18, Issue 11 · 24 Nov 2022 · 7,180 accessesView PDFCite
Review ArticleOpen accessIn the abstractRRDTool: A Round Robin Database for Network MonitoringManmohan Singh, Sweta Dargada, Hemant Mewada et al.RRDtool is a circular database that stores time series data. RRD tool assumes time-variable data inintervals of a certain length. An interval is named as a step, and specifiedupon creation of an RRD file which cannot be changed afterward. Because datamay not always come at just the right time, RRD tool will automaticallyinterpolate any submitted data. This is done to … …Journal of Computer Science, Vol. 18, Issue 8 · 27 Aug 2022 · 8,350 accessesView PDFCite
Research NotesOpen accessIn the abstractTime-Resolution of Climate Change Monitoring Volcanic Cycles, Stromboli, Ocean Floor Biota and Pandemics (?)Giovanni Pietro Gregori, Gabriele PaparoClimate change is an ongoing, poorly understood and disquieting challenge. The primary drivers are debated. Clear evidence is however suggestive of a time variation of the planetary release of endogenous energy. In fact, soil exhalation is an unprecedented challenge for humankind, as a phenomenon of this kind happens only every 27.40.05 Ma, while human history spans only the last 30,0000 … …American Journal of Engineering and Applied Sciences, Vol. 14, Issue 2 · 7 Sep 2021 · 6,252 accessesView PDFCite
EditorialOpen accessIn the abstractVolume 4: Face-to-Face with SGAMR-2020 AwardeesChiara Bedon, Mario D’Aniello, Flavio Stochino…New Year and new results for the SGAMR community!! The year 2021 begins with the announcement of Awardees for the first (ongoing) edition of SGAMR awards for Young Investigator (SGAMR-YRA-2020), Best Paper (SGAMR-BPA-2020) and Outstanding Reviewer (SGAMR-ORA-2020)!! In this editorial, we want further to congratulate the Winners, but also present them to our Readers, Supporters, Authors, Reviewers as well as … …International Journal of Structural Glass and Advanced Materials Research, Vol. 5, Issue 1 · 15 Feb 2021 · 7,183 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegration of Local Large Language Models, Retrieval-Augmented Generation, and Adaptive LearningAnass Belcaid, Kamal ReklaouiIn recent years, many schools and teachers have started using closed Large Language Models (LLMs) to help with learning. These tools can be very helpful for tutoring and personal learning, but they also bring serious problems. One big issue is that they use cloud systems, which means student data is sent to outside servers. This can put privacy at risk … …Journal of Computer Science, Vol. 22, Issue 4 · 26 Mar 2026 · 3,923 accessesView PDFCite