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Research ArticleOpen accessIn the abstractSQL Generation from Natural Language: A Sequence-to-Sequence Model Powered by the Transformers Architecture and Association RulesYoussef Mellah, Abdelkader Rhouati, El Hassane Ettifouri et al.Using Natural Language (NL) to interacting with relational databases allows users from any background to easily query and analyze large amounts of data. This requires a system that understands user questions and automatically converts them into structured query language such as SQL. The best performing Text-to-SQL systems use supervised learning (usually formulated as a classification problem) by approaching this task … …Journal of Computer Science, Vol. 17, Issue 5 · 23 May 2021 · 10,027 accessesView PDFCite
Research ArticleOpen accessIn the abstractHacking Back: Using Genetic Algorithms to Outsmart HackersGhosoun Al Hindi, Mohammad Alshraideh et al.Web applications are widely used in today's digital landscape, necessitating robust security measures to protect against unauthorized access by malicious users. Ensuring the security of these applications requires effectively identifying and addressing vulnerabilities. This paper proposes an automated methodology for vulnerability detection, utilizing a genetic algorithm to generate test cases, which offers greater efficiency and performance compared to resource-intensive and … …Journal of Computer Science, Vol. 21, Issue 9 · 10 Oct 2025 · 2,600 accessesView PDFCite
Research ArticleOpen accessIn the abstractVoronoi Partition to Support Data Search in Uncertain Database with k-Bound FilteringSlamet Sudaryanto Nurhendratno, Sudaryanto, Solichul HudaWith the development of mobile technology, one of its main functions is to have mobile navigation capabilities, this is one of the Location-Based Services (LBS). Mobile navigation is designed as a mobile device to be able to monitor access objects from users. Because of the mobile characteristic, the impact on the points of objects to be found always occur a … …Journal of Computer Science, Vol. 16, Issue 12 · 22 Dec 2020 · 6,645 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Better Approach to Ontology Integration using Clustering Through Global Similarity MeasureAshwin Makwana, Amit GanatraKnowledge representation is a crucial area of work in the intelligent system, especially in query answering system development. Ontology is used to represent shared knowledge of a particular domain for query answering system. Domain-specific ontology can be designed and developed by many groups and researchers, because of which there is heterogeneity in the knowledgebase. Ontology integration or merging is necessary … …Journal of Computer Science, Vol. 14, Issue 6 · 25 Jun 2018 · 8,227 accessesView PDFCite
Review ArticleOpen accessIn the abstractRainwater Harvesting and Treatment Systems in South America: A Bibliometric Analysis (2000-2021)Eli Morales Rojas, Manuel E. Reátegui-Inga, Reiner Reátegui Inga et al.The objective of this study was to review the main rainwater harvesting and treatment systems through a bibliometric analysis from 2000-2021. A bibliometric analysis was used in the R program and VOS viewer, the query involved titles, abstracts, and keywords during the last 20 years (2000-2021). The results indicate that from 2013 onwards, interest in this topic increased. 13% of … …American Journal of Applied Sciences, Vol. 19, Issue 1 · 13 Sep 2022 · 7,193 accessesView PDFCite
Research ArticleOpen accessIn the abstractKnowledge-based System of Indian Culture using Ontology with Customized Named Entity RecognitionHarsh Raj, Kumar Harsh, Payal Khattri, Tanwir Uddin HaiderIndian culture is a blend of diversified ethics with different cultures and religions. There arise the sustainable challenges for the people of inter societies and religions to participate in the regional events with lack of cultural information like types of cuisines eaten; rituals followed etc. The existing search engines using a keyword-based approach make it difficult for people to find … …Journal of Computer Science, Vol. 18, Issue 3 · 30 Mar 2022 · 6,613 accessesView PDFCite
Review ArticleOpen accessIn the abstractProcessing Skyline Queries in Incomplete Database: Issues, Challenges and Future TrendsYonis Gulzar, Ali A. Alwan, Norsaremah Salleh, Imad Fakhri Al ShaikhliIn many contemporary database applications such as multi-criteria decision-making and real-time decision-support applications, data mining, e-commerce and recommendation systems, users need query operators to process the data aiming at finding the results that best fit with their preferences. Skyline queries are one of the most predominant query operators that privileges to find the query results that return only those data … …Journal of Computer Science, Vol. 13, Issue 11 · 20 Nov 2017 · 8,002 accessesView PDFCite
EditorialOpen accessIn the abstractCommentary-How do we Improve Training for Receptor Research?Marilee Ann BenoreThis issue of the American Journal of Biochemistry and Biotechnology features articles about receptor-ligand interactions that are critical to the wellbeing of all living organisms. The importance of the field of receptor research is supported by the large number of articles published in journals, the numerous specialty journals, the international conferences and the percentage of legal drugs on the market … …American Journal of Biochemistry and Biotechnology, Vol. 11, Issue 4 · 8 Dec 2015 · 8,056 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance Evaluation of Search Engines Using Enhanced Vector Space ModelJitendra Nath Singh, Sanjay K. DwivediVector space model allows computing a continuous degree of similarity between queries and retrieved documents and then ranks the documents in increasing order of cosine (similarity) value. It computes cosine or similarity value using their cosine function. The cosine function computes the similarity value by computing the weight of each term in the documents using a weighting scheme but it … …Journal of Computer Science, Vol. 11, Issue 4 · 24 Jul 2015 · 6,758 accessesView PDFCite
EditorialOpen accessIn the abstractData Mining in Time Series: Current Study and Future TrendTan Yan, Liudmila Ulanova, Ye Ouyang, Fengyuan XuTime series represent sequences of data points where usually their order is defined by the time when they were recorded. Thus, virtually any sequential recordings can be stored as time series: Stock prices, weather conditions, physical system parameters change, product quality monitoring, etc. This leads to ubiquity of time series in all scientific and practical fields (Esling and Agon, 2012); … …Journal of Computer Science, Vol. 10, Issue 12 · 26 Jan 2015 · 8,756 accessesView PDFCite