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Research ArticleOpen accessIn the abstractValidating and Evaluating a Dynamic Enterprise Architecture Model: A Case StudyImane Ettahiri, Latifa Rassam, Karim Doumi, Ahmed ZellouIn today’s rapidly changing business environment, adapting to evolving circumstances is a fundamental capability for organizations. Enterprise Architecture (EA) provides a holistic view of an organization’s structure, processes and technology, ensuring alignment with strategic objectives. However, traditional EA frameworks often lack the flexibility to dynamically respond to both predictable and unpredictable internal and external changes. This study proposes a novel, … …Journal of Computer Science, Vol. 21, Issue 3 · 7 Feb 2025 · 7,488 accessesView PDFCite
Research ArticleOpen accessIn the abstractSmart Talent Sourcing Through Advanced Skill Profiling TechniqueAmey Krishnanath Shet Tilve, Gaurang Sitaram Patkar, Vadiraj Gururaj Inamdar et al.The hiring process often struggles with aligning job seekers' skills to employers' requirements, leading to inefficiencies and mismatches. To address this challenge, a dual-functionality system is proposed that leverages Natural Language Processing (NLP) techniques, including BERT for embedding textual information and cosine similarity to rank resumes according to their alignment with job descriptions and to recommend suitable candidates to employers … …Journal of Computer Science, Vol. 21, Issue 2 · 18 Jan 2025 · 4,967 accessesView PDFCite
Research ArticleOpen accessIn the abstractGradient Boosting for Heart Stroke Prediction: Investigating Unexpected Risk FactorsAniket Kailas Shahade, Priyanka V. DeshmukhHeart stroke prediction is a critical area in healthcare, aiming to identify individuals at risk and provide timely intervention. This research leverages machine learning algorithms, including Decision Tree, Random Forest, AdaBoost, and Gradient Boost, to predict the likelihood of stroke, with Gradient Boosting delivering the most accurate results. Our analysis uncovers intriguing and unexpected relationships between stroke risk and various … …Journal of Computer Science, Vol. 21, Issue 1 · 16 Dec 2024 · 4,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiformer Attention and ASF-YOLO for Cordyceps Sinensis Target RecognitionRu Yang, Peng Wu, Zhentao QinCordyceps sinensis, a highly valued traditional Chinese medicine, faces challenges in collection due to inefficiencies in manual searching, strenuous labor, and the impact of subjective expertise. The integration of deep learning into Cordyceps sinensis identification is an unexplored area. To alleviate the manual labor and enhance the precision and speed of identifying Cordyceps sinensis, a novel detection approach that combines … …American Journal of Biochemistry and Biotechnology, Vol. 20, Issue 4 · 14 Nov 2024 · 4,543 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing IoT RPL Protocol Security Against Black Hole Attacks with Deep Learning TechniquesKrari Ayoub, Hajami Abdelmajid, Toubi Ayoub, Mihi SoukainaAs the Internet of Things (IoT) extends its reach into critical infrastructures, it encounters escalating security threats, particularly black hole attacks that jeopardize network communication. The growing use of IoT in essential services underscores the need for robust network integrity. Driven by this urgency, our research has developed a sophisticated detection framework that effectively identifies black hole attacks within IoT … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Oct 2024 · 5,000 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Nested Digital Watermarking Scheme Using GARN with DWTEdward Yellakour Baagyere, Peter Awonnatemi Agbedemnab, Mohammed Akolgo, Strato Angsoteng BayitaaCopyright infringement is undoubtedly one of the major challenges in the film and TV industries over the years but has become even more pervasive lately as a result of technological advancement. This has made it possible to decode hitherto, hard-encoded, or encrypted multimedia content resulting in a lot of losses to companies in such industries. Digital watermarking, which is, a … …Journal of Computer Science, Vol. 20, Issue 10 · 30 Jul 2024 · 4,793 accessesView PDFCite
Review ArticleOpen accessIn the abstractVLDL in Atherosclerosis: Variety of Mechanistic ImplicationsAnastasia Vladimirovna Poznyak, Victor Yurievich Glanz, Vasily Nikolaevich Sukhorukov et al.Very-Low-Density Lipoprotein (VLDL) particles play a pivotal role as precursors for Intermediate-Density Lipoprotein (IDL) and eventually transform into Low-Density Lipoprotein (LDL). These particles have been categorized based on size and particle charge. Various types of VLDL impact diverse physiological processes in the human body. The accumulation of VLDL, along with other triglyceride-rich lipoproteins, significantly contributes to the development of atherosclerotic … …OnLine Journal of Biological Sciences, Vol. 24, Issue 4 · 29 Jul 2024 · 4,308 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalysing Domain-Specific Sentiments in Healthcare: SentiWordNet Adjusted Vader Sentiment Analysis (SAVSA)Thambusamy Velmurugan, Sridevi Perumal ChokkalingamSentiment analysis, the process of understanding people's emotions and opinions in the digital age, holds significant importance for both content creators and consumers in the era of abundant online content. However, accurately gauging sentiment can be challenging, particularly when individuals employ specialized language and online shorthand. This research work presents a novel approach to sentiment analysis known as SentiWordNet Adjusted … …Journal of Computer Science, Vol. 20, Issue 3 · 16 Jan 2024 · 5,939 accessesView PDFCite
Research ArticleOpen accessIn the abstractFlock Optimization Algorithm-Based Deep Learning Model for Diabetic Disease Detection ImprovementDivager Balasubramaniyan, Nor Azura Husin, Norwati Mustapha et al.Worldwide, 422 million people suffer from diabetic disease, and 1.5 million die yearly. Diabetes is a threat to people who still fail to cure or maintain it, so it is challenging to predict this disease accurately. The existing systems face data over-fitting issues, convergence problems, non-converging optimization complex predictions, and latent and predominant feature extraction. These issues affect the system's … …Journal of Computer Science, Vol. 20, Issue 2 · 8 Jan 2024 · 5,208 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Customer Predictive Model for Investment Using Ensemble Learning TechniqueThongchai Kaewkiriya, Kittipol WisaengMany new investors that want to purchase a fund might be disappointed with the return-on-investment value. This problem occurs because they do not know important factors that could affect the market value. Plus, some assets might not be suitable for the investor's investment style. To reduce the mentioned problems, many asset management companies research the systems that could find a … …Journal of Computer Science, Vol. 19, Issue 6 · 25 May 2023 · 5,472 accessesView PDFCite