Research ArticleOpen accessEvery word in the titleTRUST BASED AUTOMATIC QUERY FORMULATION SEARCH ON EXPERT AND KNOWLEDGE USERS SYSTEMSK. Sridharan, M. ChitraDue to enhance in complexity of services, there is a necessity for dynamic interaction models. For a service-oriented system to work properly, we need a context-sensitive trust based search. Automatic information transfer is also deficient when unexpected query is given. However, it shows that search engines are vulnerable in answering intellectual queries and shows an unreliable outcome. The user cannot … …Journal of Computer Science, Vol. 10, Issue 7 · 18 Feb 2014 · 6,319 accessesView PDFCite
Research ArticleOpen accessIn the keywordsUsing Rule-Based Reasoning and Object-Oriented Methodologies to Diagnose DiabetesVithyatheri Govindan, Vimala Balakrishnan, Huck-Soo LooProblem statement: Diabetes mellitus or diabetes epidemic is one of the high prevalence diseases worldwide with increased number of disability, complications and death toll. An early diagnosis helps patients and medical practitioners to reduce the burden of diabetes. Approach: In this research, we propose a framework for a system using rule-based reasoning and object-oriented methodologies to diagnose both Type 1 … …Journal of Social Sciences, Vol. 8, Issue 1 · 23 Jan 2012 · 8,607 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA BI-RADS Based Expert Systems for the Diagnoses of Breast DiseasesUmi Kalthum Ngah, Shalihatun Azlin Aziz, Mohd. Ezane Aziz et al.We proposed an expert system based on the interpretation of mammographic and ultrasound images that may be used by expert and non-expert doctors in the interpretation and classifying of patient cases. The expert system software consists of a mammographic (MAMMEX) and breast ultrasound (SOUNDEX) medical expert systems which may be used to deduce cases according to the Breast Imaging Recording … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndian Toy Research: Trends, Gaps and Future DirectionsRajesh P. Vansdadiya, Nimish H. VasoyaThis review aims to synthesize the current state of toy-related research in India, identify major research gaps, and propose a conceptual framework for the emerging interdisciplinary field of Toy Science. A structured review of approximately 95 India-focused publications was conducted. The reference list includes representative sources cited directly in the manuscript, while additional documents were used for thematic synthesis and … …Journal of Social Sciences, Vol. 22, Issue 1 · 24 Jul 2026 · 1,396 accessesView PDFCite
Research ArticleOpen accessIn the abstractDesigning the Future: A Blockchain-Based Framework for Transparent and Secure ElectionsJayesh Solanki, Divyakant MevaBlockchain-based electronic voting systems have been identified as a solution to enhance the transparency, security, and efficiency of modern electoral processes. However, the existing system has three major problems, which include scalability, privacy issues, and cybersecurity attacks. The researcher proposed an innovative solution to develop an electronic voting system with enhanced security, scalability, and transparency of voters' information. This paper … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,291 accessesView PDFCite
Research ArticleOpen accessIn the abstractOntology Based Knowledge Management System Design for Organic FarmingMuqeem Ahmed, Afrah Fathima, Mohammad Islam et al.In the current agricultural system, information is often gathered manually, and farmers make decisions based on their judgment. Occasionally, they seek advice from experts and extension officers. Numerous information systems have recently emerged, offering insights into organic farming practices. However, this information is dispersed across various contexts, formats, and media on the Internet, making it challenging to access. Utilizing ontology … …Journal of Computer Science, Vol. 22, Issue 3 · 25 Mar 2026 · 1,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractStudent 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
Review ArticleOpen accessIn the abstractA Systematic Review of Adversarial Attacks: ML Techniques, Classification and CountermeasuresBhavesh Kumar Sharma, Sanatan Ratna, Rajiv KumarMachine Learning (ML) and Deep Learning (DL)-based technologies have made significant strides in areas such as computer vision, natural language processing, and autonomous systems. Yet they have been applied in high-stake applications, and have been found to be fragile through adversarial attacks-, maliciously crafted small distortions that fool models into making mistakes. From the pioneering work by Szegedy et al. … …Journal of Computer Science, Vol. 22, Issue 5 · 19 May 2026 · 1,497 accessesView PDFCite
Research ArticleOpen accessIn the abstractMitigating the Evidence-Related Factors in Automated Fact-CheckingAruna Shankar, Narayanan Kulathuramaiyer, Johari Bin Abdullah, Muthukumaran PakkirisamyThe rapid proliferation of digital misinformation highlights the urgent need for robust automated fact-checking systems that can accurately distinguish truth from falsehood. A persistent challenge for these systems is the occurrence of false positives, where truthful information is incorrectly flagged as misleading due to limitations in evidence assessment, including insufficient evidence, logical inconsistencies, and conflicting information. This research introduces a … …Journal of Computer Science, Vol. 21, Issue 3 · 13 Feb 2025 · 5,992 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite