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165 results for “Process Improvement”
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Research ArticleOpen accessIn the abstractClassification of Arabic Comments to Detect Cyberbullying from Social Media Using Convolutional Neural Network and Meta-LearningSarah Mansour Elgaud, Mustafa Ali Abuzaraida, Abdullah AlshehabAs a result of the proliferation of social media, cyberbullying has become widespread in the Arab community on social media and cyberbullying has become a concern targeting individuals and may cause some serious side effects. The problems of Natural Language Processing (NLP) for the Arabic language and its complexity make it difficult to classify texts accurately. In recent years, deep … …Journal of Computer Science, Vol. 21, Issue 3 · 10 Feb 2025 · 6,279 accessesView PDFCite
Research ArticleOpen accessIn the abstractFuzzy Logic-Based Quantification of Usability Expectation for M-Commerce Mobile Application by Using GQM and ISO 9241-11Manish Mishra, Reena DadhichFuzzy logic-based quantification of usability expectation for an m-commerce mobile application is a process of measuring the usability of a mobile application by using fuzzy logic principles. The usability of any mobile application is used to find out the user experience of the mobile application by analyzing the user's expectations and preferences. Fuzzy logic always be the optimal choice for … …Journal of Computer Science, Vol. 20, Issue 1 · 24 Nov 2023 · 6,209 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Algorithm To Determine The Maturity Improvement Plan For Information System Risk Management. Application On A Case StudySoumaya Amraoui, Mina Elmaallam, Hicham BensaidA good and relevant Risk Management process is a key issue when Information System effective governance is concerned. Therefore, several paradigms have been devised to help achieving such goal. Among these paradigms, maturity models are quite popular. The main aim of a maturity model is to help users improve their activities capability. However, one of the major challenges encountered when … …Journal of Computer Science, Vol. 15, Issue 8 · 1 Aug 2019 · 7,636 accessesView PDFCite
Case ReportOpen accessIn the abstractUsing Lean Six Sigma to Increase Efficiency of a Grain Receipt Process of a Brazilian Agroindustry CooperativeSeiti Moraes Sakumoto, Daiane Maria De Genaro Chiroli, Ana Caroline DzulinskiDue to the competitiveness of companies to increase market share, they have been more and more interested in topics related to cost reduction, process efficiency, new customers and continuous improvement. Considering this scenario, this study conducted analyses and implemented improvements using the Lean Six Sigma (LSS) methodology in a grain receipt process of a Brazilian agroindustrial cooperative to increase its … …American Journal of Engineering and Applied Sciences, Vol. 12, Issue 2 · 17 Jun 2019 · 7,612 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntercropping Agricultural Practices by Improving Maize Early Growth Process: A Bio-Statistical ApproachDago Dougba Noel, Tuo Yalamoussa, Niamien Coffi Jean Magloire et al.Fertile soil pressure represents a crucial concern vis-à-vis of agricultural crop yield improvement in several southern countries. Environmental concerns and soil low fertility as well as a rapid demographic development and as well intensive industrial exploitation with regard ground resource, drastically contribute in reducing agricultural land availability. We believe that multiple culture and/or intercropping experimentation designs, integration in southern countries … …Current Research in Biostatistics, Vol. 9, Issue 1 · 25 May 2019 · 8,390 accessesView PDFCite
Research ArticleOpen accessIn the abstractONCObc-ST: An Improved Clinical Reasoning Algorithm Based on Select and Test (ST) Algorithm for Diagnosing Breast CancerOlaide Nathaniel Oyelade, Sunday Adeyemi AdewuyiThe need for an accurate reasoning algorithm is usually necessitated by the sensitivity of domain of (medicine as example) application of such algorithms. Most reasoning algorithms for medical diagnosis are either limited by their techniques or accuracy and efficiency. Even the Select and Test (ST) algorithm which is considered a more approximate reasoning algorithm is also limited by its approach … …Current Research in Bioinformatics, Vol. 8, Issue 1 · 15 Apr 2019 · 7,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractActive Reset and Scheduling in Fault-Tolerant Quantum-Classical Cloud ComputingMohamed El-DosukyQuantum-classical cloud computing refers to a hybrid computing model that integrates quantum computing with classical computing resources, typically hosted on the cloud. The objective of this paper is threefold: First, to scrutinize the computing paradigm of quantum-classical cloud computing; second, to study the three pillars of the underpinning techniques: Active reset, scheduling, and fault tolerance; third, to demonstrate the realization … …Journal of Computer Science, Vol. 22, Issue 7 · 1 Sep 2026 · 767 accessesView PDFCite
Research ArticleOpen accessIn the abstractEvaluation of Biochemical Characteristics of Exercise Fatigue and Recovery of Energy and Materials Based on Neural Network TechnologyPeng HuA remarkable feature of modern sports is that the training load intensity of athletes is constantly increasing, and training would bring great pressure to the athletes' bodies. One of the important problems is to improve the performance of athletes and effectively solve the problem of high load and scientific recovery. To use recovery methods meaningfully, it is necessary to understand … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 2 · 13 Jul 2026 · 903 accessesView PDFCite
Research ArticleOpen accessIn the abstractIncorporation of Modified Region Growing into FCM Clustering for Extraction of Tumors in MR ImagesLovepreet Singh Brar, Jaget Singh, Bhawana Agrawal et al.Due to the tremendous growth of medical Magnetic Resonance (MR) images, it becomes an essential requirement for an automated extraction of diagnostically salient parts of the images to refine the transmission and storage process. Research method: This paper proposes an automated unsupervised machine learning segmentation technique named fuzzy c-means clustering based on modified region growing algorithm (RG-FCM) for the extraction … …Journal of Computer Science, Vol. 21, Issue 12 · 12 Feb 2026 · 1,477 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Role of Agile Leadership in Team Motivation Within Software Development Projects: A Study Case of Multinational Companies in MoroccoMaha Makkass, Youness Laghouaouta, Adil AnwarToday’s business world is increasingly competitive, especially in the software development domain. This growing pressure has led many organizations to adopt agile methodologies and cultures. They need innovations to respond quickly to the sudden changes that are most of the time not part of any leader's strategic plan. In these agile contexts, which are supposed to be built with self-managed … …Journal of Computer Science, Vol. 21, Issue 11 · 12 Feb 2026 · 1,739 accessesView PDFCite