Research ArticleOpen accessEvery word in the titleModeling the Semantics of States and State MachinesSabah Al-FedaghiA system’s behavior is typically specified through models such as state diagrams that describe how the system should behave. According to researchers, it is not clear what a state actually represents regarding the system to be modeled. Standards do not provide adequate definitions of or sufficient guidance on the use of states. Studies show these inconsistencies can lead to poor … …Journal of Computer Science, Vol. 16, Issue 7 · 14 Jul 2020 · 6,974 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSemantics of Lazy Evaluation using the Two-Level GrammarMahmoud A. AbouGhaly, Sameh S. Daoud, Azza A. Taha, Salwa M. AlyWe have formalized the semantics of lazy evaluation for the lambda calculus using the two-level grammar formalism. The resulting semantics enjoys several properties, e.g., there is a sharing in the recursive computation, there is no α conversion, the heap is automatically reclaimed, an attempt to evaluate an argument is done at most once and there is a sharing in the … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 6,755 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleOperational Semantics for Lazy EvaluationMahmoud A. Abou Ghaly, Sameh S. Daoud, Azza A. Taha, Salwa M. AlyAn operational semantics for lazy evaluation of a calculus without higher order functions was defined. Although it optimizes many aspects of implementation, e.g. there is a sharing in the recursive computation, there is no α conversion, the heap is automatically reclaimed, and an attempt to evaluate an argument is done at most once. It is still suitable for reasoning about … …Journal of Computer Science, Vol. 3, Issue 8 · 31 Aug 2007 · 6,705 accessesView PDFCite
Review ArticleOpen accessIn the keywordsA Systematic Literature Review of Software Defect Prediction Using Deep LearningAhmed Bahaa, Enas Mohamed Fathy, Ahmed Sharaf Eldin et al.The approaches associated with software defect prediction are used to reduce the time and cost of discovering software defects in source code and to improve the software quality in the organizations. There are two approaches to reveal the software defects in the source code. The first approach is concentrated on the traditional features such as lines of code, code complexity, … …Journal of Computer Science, Vol. 17, Issue 5 · 22 May 2021 · 10,967 accessesView PDFCite
Research ArticleOpen accessIn the keywordsThe Waiting Space Environment: Perception by DesignFuziah Ibrahim, Wan Mariah Wan Harun, Muna Hanim Abdul SamadProblem statement: The waiting space is the first point of perception and reality that users would encounter when they visit any health institution. The users’ experience in the waiting area is very crucial in determining their preference. The study explored the physical environment of the waiting area which affects the people’s anxiety and perception. The physical environment which links with … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 3 · 30 Sep 2010 · 8,218 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Modular Architecture for Anaphora ResolutionAllaoua RefoufiAnaphora resolution attempts to determine the correct antecedent of an anaphor (the term pointing back). In what follows, we propose an algorithm for the resolution of anaphoric pronouns that relies on lexical and syntactic knowledge incorporated in a modular approach based on constraints and preferences. Our objective was to find the correct antecedent to the following subject pronouns (il, ils, … …Journal of Computer Science, Vol. 3, Issue 4 · 30 Apr 2007 · 7,072 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
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
Research ArticleOpen accessIn the abstractEnhancing Semantic Web Retrieval Through Ontology-Driven Feature Extraction: A Novel PropositionMeer Hazar Khan, Muhammad Imran Sharif, Mehwish Mehmood et al.Web images represent unstructured data sets which often lead to challenges when users try to locate distinct images via text-based searches on the web. Such difficulties stem from different factors, e.g., redundant image storage, irrelevant metadata tags, and incorrect associations. To overcome this issue, we propose a semantic model based on the ontology language that enables users to find images … …Journal of Computer Science, Vol. 20, Issue 5 · 23 Feb 2024 · 5,562 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnaphora Resolution in Thai EDU SegmentationAuthapon Kongwan, Siti Sakira Kamaruddin, Farzana Kabir AhmadHuman knowledge is mostly in the form of unstructured text. Text can be transcribed into various languages such as the Thai language. To extract knowledge from Thai text, natural language tasks such as word segmentation, Elementary Discourse Unit (EDU) segmentation, and anaphora resolution is the needed tasks. Some interesting phenomena such as non-referential anaphora and the ellipsis of the owner … …Journal of Computer Science, Vol. 18, Issue 4 · 5 May 2022 · 6,065 accessesView PDFCite