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Research ArticleOpen accessIn the abstractComparison of Linear and Non-Linear Regression Models for Non-Invasive Blood Glucose MeasurementDorsaf Ghozzi, Yassine Manai, Khaled NouriThis paper deals with a new approach of non-invasive glucose monitoring based on near infrared spectroscopy. The proposed approach is coupled with a regression analysis in order to improve the predictive capacity of the designed device. Basic spectral data is a comparison that has been established between linear and non-linear machine learning regression algorithms. The experimental results show that feed … …Journal of Computer Science, Vol. 15, Issue 11 · 13 Nov 2019 · 7,864 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Attendance System Using Artificial Neural Network Based on Students’ BackgroundDaban Abdulsalam Abdullah, Karzan Wakil, Shwan H.H. AlshatriDetermining the rate of student attendance is an important task in determining the completion of the courses. Despite the success of the technology, it is unfortunate that in many academic institutions, the current systems used to detect student absences. Furthermore, one of the crucial problems in the attendance system does not count student background for continuing in the courses. In … …Journal of Computer Science, Vol. 16, Issue 7 · 21 Jul 2020 · 6,764 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Holistic Approach to Security, Availability and Reliability in Fog ComputingAbdulrahman Alshehri, Hazzaa Alshareef, Samah Alhazmi et al.Abdulkareem, K. H., Mohammed, M. A., Gunasekaran, S. S., Al-Mhiqani, M. N., Mutlag, A. A., Mostafa, S. A., Ali, N. S., & Ibrahim, D. A. (2019). A Review of Fog Computing and Machine Learning: Concepts, Applications, Challenges, and Open Issues. IEEE Access, 7, 153123–153140. https://doi.org/10.1109/access.2019.2947542 Alrawais, A., Alhothaily, A., Hu, C., & Cheng, X. (2017). Fog Computing for the Internet … …Journal of Computer Science, Vol. 20, Issue 6 · 20 Mar 2024 · 6,372 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Hybrid Method for Network Anomaly Detection Based on Traffic Prediction and Change Point DetectionMouhammd AlkasassbehIn recent years, computer networks have become more and more advanced in terms of size, applications, complexity and level of heterogeneity. Moreover, availability and performance are important issues for end users. New types of cyber-attacks that can affect and damage network performance and availability are constantly emerging and some threats, such as Distributed Denial of Service (DDoS) attacks, can be … …Journal of Computer Science, Vol. 14, Issue 2 · 3 Jan 2018 · 8,404 accessesView PDFCite
Review ArticleOpen accessIn the abstractAn Investigation into the Challenges and Opportunities Associated with the Application of Internet of Things (IoT) in the Agricultural Sector-A ReviewSarfraz Fayaz Khan, Mohammed Yusoof IsmailInternet of things has acquired attention all over the globe. It has transformed the agricultural field and allowed farmers to compete with massive issues they face. The aim of this paper is to review the various challenges and opportunities associated with the applications of internet of things in agricultural sector. This research makes use of secondary sources that have been … …Journal of Computer Science, Vol. 14, Issue 2 · 6 Sep 2017 · 9,151 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolicy-Based Network Management in BIUST NetworkThato Solomon, Adamu Murtala Zungeru, Rajalakshmi Selvaraj et al.Policy-Based Network Management (PBNM) is one of the approaches used by network administration groups for Quality of Service (QoS) and administration on the internet. This paper seeks to propose the adoption of a Policy Creation Model for Policymaking in some organizations. The model will then be applied to a real scenario Botswana International University of Science and Technology (BIUST) network. … …American Journal of Engineering and Applied Sciences, Vol. 10, Issue 3 · 21 Jun 2017 · 7,595 accessesView PDFCite
Research ArticleOpen accessIn the abstractTPAL: A Protocol for Node Authentication in IoTMohamad Faiz Razali, Mohd Ezanee Rusli, Norziana Jamil, Salman YussofSecure communication in Low power and Lossy Network (LLN) requires the authentication of the identities of nodes for that node to join the network. Since LLN may consist of many different nodes, where some nodes may contain sensitive and subtle information such as military data, monitoring data, or health data, that node needs to be authenticated before it can deliver … …Journal of Computer Science, Vol. 14, Issue 10 · 30 Oct 2018 · 7,026 accessesView PDFCite
EditorialOpen accessIn the abstractBig Data and Parkinson’s Disease - from Understanding of Disease to Personalised MedicineYen F. Tai, Nicola PaveseThe advancement of information technology in recent years has generated a huge amount of datasets in all areas of scientific research. This has led to new opportunities to harness the 'Big Data' to improve our understanding of diseases - from investigating disease mechanisms to monitoring treatment responses. The Big Data approach is a data-driven and often hypothesis-free, way of studying … …Neuroscience International, Vol. 7, Issue 1 · 27 Jul 2016 · 7,755 accessesView PDFCite