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Research ArticleOpen accessIn the abstractFusing CNN Models for Improved Parkinson’s Disease Detection from Handwritten FeaturesSabrina Benredjem, Tahar MekhazniaNeurodegenerative Diseases (NGD) are a group of progressive neurological disorders, including cognitive decline as Alzheimer’s Disease (AD) and Parkinson’s Disease (PD) that result in the progressive loss of neuronal structure or function. This can lead to a variety of symptoms, in this study we are interested in PD one of the neurological diseases that causes the loss of dopamine-producing neurons … …Journal of Computer Science, Vol. 21, Issue 2 · 22 Jan 2025 · 6,313 accessesView PDFCite
Research ArticleOpen accessIn the abstractA CURE Algorithm for Vietnamese Sentiment Classification in a Parallel EnvironmentVo Ngoc Phu, Vo Thi Ngoc Tran, Jack MaxSolutions to process big data are imperative and beneficial for numerous fields of research and commercial applications. Thus, a new model has been proposed in this paper to be used for big data set sentiment classification in the Cloudera parallel network environment. Clustering Using Representatives (CURE), combined with Hadoop MAP (M) / REDUCE (R) in Cloudera – a parallel network … …Journal of Computer Science, Vol. 15, Issue 10 · 19 Apr 2018 · 7,443 accessesView PDFCite
Research ArticleOpen accessIn the abstractImproved Intrusion Detection System to Alleviate Attacks on DNS ServiceHani Mahmoud Al-Mimi, Nesreen Adnan Hamad, Mosleh Mohammad Abualhaj et al.Cybercriminals continuously devise new and more sophisticated ways to attack their targets’ security and cyberattacks are on the rise. One of the earliest and most vulnerable network services is the Domain Name System (DNS), which has had several security issues that have been repeatedly exploited over time. Building a strong Intrusion Detection System (IDS) that guards against unwanted access to … …Journal of Computer Science, Vol. 19, Issue 12 · 9 Nov 2023 · 5,789 accessesView PDFCite
Research ArticleOpen accessIn the abstractFirst-Degree Polynomial Gradient Approach to Reveal the Severity of COVID-19 Pandemic in Affected CountriesDedy Rahman Wijaya, Anak Agung Gde Agung, Tora Fahrudin, SuryatiningsihCOVID-19 is a new type of Coronavirus (2019-nCoV) which originated from Wuhan in China. Since 11 March 2020, WHO has declared COVID-19 as a pandemic. Currently, it has spread to 175 countries or regions around the world. From day to day, confirmed, recovered and death cases have been reported. This data rapidly changes that indicates an uncertain situation. This uncertain … …Journal of Computer Science, Vol. 17, Issue 2 · 16 Mar 2021 · 7,176 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Impact of Design and Security on Generation Z’s Continuance Intention in the AI-Enhanced MetaverseShailja TripathiArtificial Intelligence (AI) and the Metaverse are the source of quick and extensive changes in the virtual world. Unfortunately, such a point is rarely discussed in the academic community and the reasons why users may be able to accept an AI-enhanced Metaverse environment are not well explored. The purpose of this study is to further reconnoiter the relationship between AI … …Journal of Computer Science, Vol. 22, Issue 9 · 21 Sep 2026 · 618 accessesView PDFCite
Research ArticleOpen accessIn the abstracte-Governance Practices in Nepal: Opportunities, Challenges, and Strategies from the Local LevelReg Bahadur Bhandari, Nirav Bhatta et al.This research explores the integration of digital tools for e-governance at local levels in Nepal, with a particular emphasis on the current state of digitalization and the opportunities and challenges encountered at the local level. We collected data using a qualitative research methodology, conducting semi-structured interviews and reviewing relevant documents. The findings reveal substantial advancements in digital tools for public … …Journal of Computer Science, Vol. 22, Issue 1 · 16 Feb 2026 · 2,199 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 · 3,936 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart and Secure Anomaly Detection in IoT Using Quantum Inspired Kernel Ensemble LearningAbrar M. AlajlanThe exponential growth of the Internet of Things networks has greatly increased the attack surface for cyber threats, necessitating the use of strong and perceptive anomaly detection systems. Traditional intrusion detection systems often struggle with high false alarm rates, limited generalization, and inefficiency in processing high-dimensional heterogeneous IoT data. To address this issue, a novel Hybrid Quantum-Enhanced Kernel Ensemble Learning … …Journal of Computer Science, Vol. 22, Issue 3 · 12 Mar 2026 · 1,769 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Use of Management and Hormonal Oestrous Synchronisation on Indigenous Sheep Reared ExtensivelyAyanda Maqhashu, Jabulani Nkululeko Ngcobo, Hester Adri O'Neill et al.As the global population increases, demand for animal products will result in increased livestock-related greenhouse gas emissions that contribute to climate change. One of the strategies for reducing this impact would be the improvement of indigenous livestock reproductive efficiency that are hardy and well adapted to harsh environmental regions. The use of reproductive technologies increases efficiency of animals necessary for … …American Journal of Animal and Veterinary Sciences, Vol. 19, Issue 3 · 29 Aug 2024 · 4,782 accessesView PDFCite
Research ArticleOpen accessIn the abstractThermodynamic Modeling and Heat-Moisture Transfer Characteristic Analysis of in Situ Thermal Desorption System for Polluted SoilHuijuan Xu, Yanjun Bi, Lijun Gao, Dongxiao MaIn Situ Gas Thermal Desorption (ISGTD) is one of the effective approaches for organic contaminated soil. To investigate the heat-moisture transfer characteristics of soil during the heating process, a radially layered coupled heat-moisture model of the ISGTD system is established. The temperature and moisture distribution along the radial direction of the heat source, as well as the synergistic action of … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 3 · 28 Aug 2024 · 4,041 accessesView PDFCite