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Research ArticleOpen accessEvery word in the titleStudent Course Recommendation System Using Semantic Aware Temporal Gating With Time TransformerJoshi Vinay Kumar, Dahlia Sam, N. KanyaCourse recommendation system works by analyzing users’ interests and recognizes their historical behavior such as course enrollment and previously watched videos to recommend relevant courses. However, the existing course recommendation systems in Massive Open Online Courses (MOOCs) face challenges in capturing complex semantic information, which impacts student requirements with an unsatisfied recommendation. By combining historical behaviors without temporal awareness, the … …Journal of Computer Science, Vol. 22, Issue 11 · 9 Oct 2026 · 580 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Time-Based Switch Migration Method (TSSM) for Load Balancing in Distributed Software-Defined NetworkingThangaraj E, Dinesh K, Prabhakaran Paulraj et al.Switch migration is predominantly used for workload balancing in distributed Software Defined Network (SDN) controllers. The Time-Sharing Switch Migration (TSSM) technique allowed the switch's responsibility to be divided based on the time duration condition of overload, which resulted in fewer overload events, fewer ping-pong controller issues, and more efficient controllers. However, it has higher controller resource utilization during TSSM working … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,586 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleComparative Analysis of Deep Learning Models for Multi-Step Prediction of Financial Time SeriesSaugat Aryal, Dheynoshan Nadarajah, Prabath Lakmal Rupasinghe et al.Financial time series prediction has been a key topic of interest among researchers considering the complexity of the domain and also due to its significant impact on a wide range of applications. In contrast to one-step ahead prediction, multi-step forecasting is more desirable in the industry but the task is more challenging. In recent days, advancement in deep learning has … …Journal of Computer Science, Vol. 16, Issue 10 · 27 Oct 2020 · 6,967 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleReal Time Anomaly Detection in Massive Data Streams with ELK StackJakup Fondaj, Zirije HasaniReal time anomaly detection is very popular topic nowadays this because the number of data generated every day is larger and larger. Facing with the phenomena of Big Data is not an easy task. The main aim of this research is to fine appropriate architecture for real-time big data analytic and its main task is to detect anomalies in this … …Journal of Computer Science, Vol. 15, Issue 6 · 17 Jun 2019 · 7,794 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdaptive Cybersecurity: Dynamically Retrainable Firewalls for Real-Time Network ProtectionSina AhmadiThe growing complexity of cyberattacks has necessitated the evolution of firewall technologies from static models to adaptive, machine learning-driven systems. This research introduces “Dynamically Retrainable Firewalls”, which respond to emerging threats in real-time. Unlike traditional firewalls that rely on static rules to inspect traffic, these advanced systems leverage machine learning algorithms to analyze network traffic patterns dynamically and identify threats. … …Journal of Computer Science, Vol. 21, Issue 9 · 7 Nov 2025 · 2,558 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleTrends 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 accessEvery word in the titleOne 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 accessEvery word in the titleAn Automated Time-Shift Alignment Algorithm Based on Discrete to Continuous ApproachWajih Rhalem, Mourad Raji, Ahmed Hammouch, Jamal El MhamdiDealing with the variation in retention time and time series is one of the most popular challenges in the field of analysing data obtained from biological experiments. In most cases, this problem can lead to invalid conclusions. This work aims to propose a new method to cope with this problem by using the principle of the transition from discrete to … …Journal of Computer Science, Vol. 15, Issue 4 · 15 Apr 2019 · 7,766 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleApplication of Time Series Modeling to Study River Water QualityMaryam Ghashghaie, Kaveh Ostad-Ali-Askari, Saeid Eslamian, Vijay P. SinghWater deficit problem originates from two factors: population increase and water pollution. However, studying and forecasting the quality of water are necessary to avoid serious problems in future through managerial works. In present study, using time series modeling, the quality of Madian Rood River is studied at Baraftab station using time series analysis. Nine parameters of water quality are studied … …American Journal of Engineering and Applied Sciences, Vol. 11, Issue 2 · 25 Apr 2018 · 8,933 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAssociation Between Particulate Matter (PM10) Exposure and Cardiorespiratory Hospital Admissions: A Time Series AnalysisNur Nabila Abd Rahim, Abqariyah Yahya, Wan Rozita Wan MahiyuddinThis study aimed to evaluate the association between particulate matter (PM10) exposure and cardiorespiratory hospital admissions and develop a time series model for cardiorespiratory hospital admissions in Johor, Malaysia. Retrospective time series analysis was utilised to study cardiorespiratory hospital admissions for the study period 2015-2016. Over-dispersed Poisson generalized linear models with parametric smoothing functions were used to examine the association … …American Journal of Environmental Sciences, Vol. 17, Issue 2 · 27 May 2021 · 6,917 accessesView PDFCite