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Research ArticleOpen accessEvery word in the titleA Mathematical Model and Analysis for the COVID-19 InfectionJonathan Tsetimi, Marcus Ifeanyi Ossaiugbo, Augustine AtonujeThe dreaded COVID-19 is a communicable respiratory disease caused by a new strain of coronavirus that causes illness in humans. A study of the transmission dynamics of the disease is essential in the control and elimination of the disease. In this research work, we made some assumptions and employed a deterministic SEIR model in the study of the transmission dynamics … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 6 Jun 2022 · 6,023 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAdvancing Digital Forgery Detection: A Comparative Analysis of U-Net, Buster Net, Efficient B0+ U-Net, and VGG 16+ U-Net ModelsPreeti Dhiman, Usha ChauhanForgery Detection in the area of digital images is indispensable for insuring authenticity, particularly in detecting Copy-Move, Splicing. In this research, a meticulous analysis of latest learning architectures i.e. U-Net, Buster Net, Efficient B0+U-Net and VGG16+U-Net are compared for the detecting these types of forgeries. U-Net is popular due to its potent segmentation capabilities to provide pixel-level forgery localization while … …Journal of Computer Science, Vol. 22, Issue 10 · 8 Oct 2026 · 383 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSentimental Analysis on Health-Related Information with Improving Model Performance using Machine LearningWael M.S. Yafooz, Abdullah AlsaeediSocial media platforms are extensively used in exchanging and sharing information and user experience, thereby resulting in massive outspread and viewing of personal experiences in many fields of life. Thus, informative health-related videos on YouTube are highly perceptible. Many users tend to procure medical treatments and health-related information from social media particularly from YouTube when searching for chronic illness treatments. … …Journal of Computer Science, Vol. 17, Issue 2 · 22 Feb 2021 · 7,460 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleExploratory Data Analysis of Applications of Encryption for Netflix by ML ModelsAnanth Maria Pushpa, Subramanian ShanmugamThis study examines the performance of various machine learning algorithms in analyzing Netflix's dataset, with a focus on encryption methods used for data protection. We evaluated several models including Ada BoostM1, IBk, Random Forest, and Decision Stump using multiple performance metrics. This work analysis revealed that the Ada BoostM1 model achieved the highest accuracy at 97.14%, outperforming other algorithms. It … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 1,927 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAspect Based Sentiment Analysis Using Self-Attention Based LSTM Model with Word EmbeddingVimalkumar B. Vaghela, ZishanHaider Y. Noorani, Kalpesh Patel et al.Sentiment analysis is in advance more attention for research due to incremental convention in affairs of state, online marketing and social networking. Users afford their opinions for exacting object as reviews. Analysts categorize these reviews into prejudiced information. Consequently sentiment pulling out is the development of take out human awareness from amorphous text reviews. Extracted sentiment will assist to recognize … …Journal of Computer Science, Vol. 20, Issue 10 · 29 Jul 2024 · 6,512 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Data Mining Driven Framework for Image-Based Crop Stress Analysis Using IPCA, FP-Growth, ConvLSTM, and Sequential ModelsA. Josephine, A. SubhashiniDetecting crop stress before it becomes serious has a major impact on the food supply. It helps in avoiding the loss of crops, increases productivity and helps farmers to practice precision farming. Most technologies today are designed specifically to either detect crop stress or to predict how well the crop will grow. Many of the technologies do not combine the … …Journal of Computer Science, Vol. 22, Issue 8 · 21 Aug 2026 · 922 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleMathematical Analysis of M/M/C Vacation Queueing Model with a Waiting Server and Impatient CustomersGanesh Sapkota, R. P. GhimireIn this study, the transient analysis of the M/M/C queueing system has been made under the provision of servers' single vacation and loss of impatient customers. Customers arrive in the system in the Poisson process and are served by multiple servers in an exponential distribution process. Customers are served in the chronological order of their arrival. The main purpose of … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 19 Apr 2022 · 7,778 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnalysis of Benefits and Barriers as a Critical Success Factor in IT Governance Implementation by Using Interpretive Structural ModelUky Yudatama, Achmad Nizar Hidayanto, Bobby A.A NaziefThis study aims to identify and analyze the key sub-factors of benefits and barriers as critical success factors for the implementation of IT Governance. The hope of the research is that the results of this identification and analysis can provide a high value of benefits in order to stakeholders in implementing IT Governance. In addition, it is expected to also … …Journal of Computer Science, Vol. 15, Issue 7 · 25 Jul 2019 · 7,885 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAnxiety-Focused Classification Using Smartphone-Based Gait Analysis and Deep Learning ModelsMinchan Kang, Gou-Sung Degbey, Hyunhwa Lee et al.Mood disorders, such as anxiety, significantly impact individual well-being and present challenges to healthcare systems globally. Traditional screening methods, including self-administered symptom questionnaires, provide valuable insights into symptoms but may miss dynamic fluctuations. This study explores the potential of smartphone inertial sensors and deep learning models for anxiety risk classification. Using gait data from 36 participants, collected via smartphone accelerometers … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 821 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleSpatial Analysis and Modeling the Nitrogen Flush after Rainfall Events at the Field Scale in SWATElizabeth Brooke Haney, Richard Lee Haney, Jeffrey George Arnold et al.Current nitrogen (N) models tend to neglect the contribution of the microbial population to the plant available N pool, resulting in an underestimation of yield and possible over or underestimation of N runoff from natural and agricultural landscapes. We used the measurement of microbial activity coupled with the measurement of their food source, water extractable nitrogen (N) and carbon (C), … …American Journal of Environmental Sciences, Vol. 12, Issue 2 · 11 Apr 2016 · 7,228 accessesView PDFCite