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19 results for “Machine Organization”
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Review ArticleOpen accessIn the abstractProtein Sequences Features Extraction for Predicting Beta- Turns and their Types: A ReviewMurtada Khalafallah Elbashir ElfakiBeta-turns are considered to be important secondary structure types that have essential role in molecular recognition, protein folding and stability. They represent 25% of protein structures, therefore they are the most common type of non-repetitive or tight turns structures. Their prediction is considered to be an important issue in bioinformatics and molecular biology, because it provides valuable information and inputs … …Journal of Computer Science, Vol. 15, Issue 9 · 1 Oct 2019 · 7,694 accessesView PDFCite
Research ArticleOpen accessIn the abstractLeveraging Transformer Model for Data-Driven Requirement Engineering: A Case Study of NLP4RE E-Commerce Business Apps in Malaysia and IndonesiaDevi Yurisca Bernanda, Dayang Norhayati Abang Jawawi, Shahliza Abd Halim et al.Data-Driven Requirement Engineering (DDRE) marks a departure from conventional methods, embracing dynamic, user-centric strategies with the help of machine learning and artificial intelligence. As software systems grow more intricate and demand adaptability, a continuous software engineering approach becomes crucial. However, this shift poses challenges in handling data inconsistencies during the elicitation process, leading to software development shortcomings. This study tackles … …Journal of Computer Science, Vol. 20, Issue 11 · 2 Oct 2024 · 5,131 accessesView PDFCite
Research ArticleOpen accessIn the abstractArabic Person Names Recognition by using a Rule Based ApproachMohammed Aboaoga, Mohd Juzaiddin Ab AzizName Entity Recognition is very important task in many natural language processing applications such as; Machine Translation, Question Answering, Information Extraction, Text Summarization, Semantic Applications and Word Sense Disambiguation. Rule-based approach is one of the techniques that are used for named entity recognition to identify the named entities such as a person names, location names and organization names. The recent … …Journal of Computer Science, Vol. 9, Issue 7 · 22 Jun 2013 · 7,482 accessesView PDFCite
Research ArticleOpen accessIn the abstractUtilizing of Big Data and Predictive Analytics Capability in Crisis ManagementMohammad Atwah AL-Ma’aitahThis study investigates the impact of Big Data and Predictive Analytics (BDPA) capability on crisis management in the Greater Amman Municipality (GAM), Jordan. Effective utilization of BDPA is considered in the study to depend upon the five dimensions: Tangible resources, technical skills, management skills, organizational learning and data driven culture. Crisis management is classified into the three stages of crisis … …Journal of Computer Science, Vol. 16, Issue 3 · 9 Mar 2020 · 7,862 accessesView PDFCite
Research ArticleOpen accessIn the abstractFactors Affecting the Choice of Software Life Cycle Models in the Software Industry-An Empirical StudyRupa Mahanti, M. S. Neogi, Vandana BhattacherjeeProblem statement: The aim of this study was to present the results of the survey conducted with software professionals in a few Indian software companies. Approach: The study initially presents an overview of the common software life cycle models used in the software development. Results and Conclusion: The survey results revealed that the level of understanding of the user requirements … …Journal of Computer Science, Vol. 8, Issue 8 · 13 Jul 2012 · 8,051 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordPerformance Prediction Model for Predictive Maintenance Based on K-Nearest Neighbor Method for Air Navigation Equipment FacilitiesRachmat Hidayat, Ditdit Nugeraha UtamaThe aging of air navigation facilities leads to a decline in equipment performance and reliability, posing significant challenges for aviation organizations in the large-scale replacement of outdated systems, as well as in managing budgets and resources. To address these issues, a performance prediction model for equipment was developed using the K-Nearest Neighbor (KNN) method, aimed at enhancing maintenance planning and … …Journal of Computer Science, Vol. 21, Issue 4 · 4 Mar 2025 · 5,653 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordEvolutionary Algorithm DefinitionNada M.A. AL-SalamiProblem statement: Most resent evolutionary algorithms work under weak theoretical basis and thus, they are computationally expensive. Approach: This study discussed the use of new evolutionary algorithm for automatic programming, based on theoretical definitions of program behaviors. Evolutionary process adapted fixed and self-organized input-output specification of the problem, to evolve good finite state machine that efficiently satisfies these specifications. Results: … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 10 Dec 2009 · 7,751 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordHighly-Available, Collaborative, Trainable Communication – a Policy – Neutral ApproachChristian Schreibaumer, Isabella Stein, Eberhard DobermannScalable theory have led to many advances. Data flow is constantly growing and systems are expanding. Theoretical principles of red-black trees can help to build a scalable system, where data easily can expand and in the end energy is saved. We propose a novel solution, an organizational platform, an algorithm for the analysis of agents, which we call Mop. With … …Journal of Computer Science, Vol. 14, Issue 6 · 5 Apr 2018 · 9,771 accessesView PDFCite