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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
Research ArticleOpen accessIn the abstractPhonocardiogram Classification Based on Machine Learning with Multiple Sound FeaturesKhalid M.O. Nahar, Obaida M. Al-Hazaimeh, Ashraf Abu-Ein, Nasr GharaibehIn this study the heartbeat sound signals were tackled by classifying them into heart disease categories such as normal, artifact, murmur and extrahals in an attempt for early detection of heart defects. Phonocardiogram (i.e., PCG) is used to obtain the digital recording dataset of the heart sounds using an electronic stethoscope or mobile device. Multiple features are extracted from the … …Journal of Computer Science, Vol. 16, Issue 11 · 26 Nov 2020 · 8,259 accessesView PDFCite
Research ArticleOpen accessIn the abstractGender-Based Customer Counting System Using Computer Vision for Retail StoresIntan Sari Areni, Tiwi Nur Safitri, Indrabayu, Anugrayani BustaminThe development of modern retail business is gradually getting faster, increasing the level of competition among retailers. The retailers are changing their business strategies to acquire new customers, maintain customer loyalty and improve customer service. One way to indicate the good market performance of a retail shop is to know the number and details of visitors based on gender. The … …Journal of Computer Science, Vol. 16, Issue 4 · 16 Apr 2020 · 8,394 accessesView PDFCite
Research ArticleOpen accessIn the abstractDiabetic Retinopathy Detection using Deep Learning TechniquesAswin Shriram Thiagarajan, Jithendran Adikesavan, Santhi Balachandran, Brindha Ganapathyagraharam RamamoorthyDiabetic Retinopathy is a type of eye condition induced by diabetes, which damages the blood vessels in the retinal region and the area covered with lesions of varying magnitude determines the severity of the disease. It is one of the most leading causes of blindness amongst the employed community. A variety of factors are observed to play a role in … …Journal of Computer Science, Vol. 16, Issue 3 · 13 Mar 2020 · 10,272 accessesView PDFCite
Research ArticleOpen accessIn the abstractBiodegradation of Low-Density Polyethylene Film by UV Irradiated and Non-Irradiated Pseudomonas Aeruginosa D5Olusola Adeoye Oluwole, Temitayo Omotunde Olowomofe, Ikeoluwa Gloria OlaniyanLow-density polyethylene (LDPE) constitutes 60% of total plastic production, and non-degradable polyethylene carry bags are the most common type of solid waste found. Their recalcitrance in the environment is thus a major concern for environmentalists. This study investigated the potential of Ultraviolet (UV) induced mutation in enhancing biodegradation of LDPE films by two diesel degrading bacteria, Alcaligenes faecalis D4 and … …Current Research in Microbiology, Vol. 8, Issue 1 · 8 Oct 2025 · 3,629 accessesView PDFCite
Research ArticleOpen accessIn the abstractDistribution and Risk Factors of Carbapenem-Resistant Enterobacterales in General Hospitals in South KoreaMijin Kang, Bokyeung Jung, Jaekyung KimThe emergence of Carbapenem-Resistant Enterobacterales (CRE) presents a significant global health challenge due to its high resistance to broad-spectrum β-lactam antibiotics. CRE infections are increasingly common in hospital settings and are associated with high mortality rates. In South Korea, the increase in CRE infections necessitates a detailed investigation into their distribution and risk factors to inform effective management and prevention … …American Journal of Biochemistry and Biotechnology, Vol. 21, Issue 1 · 27 Mar 2025 · 5,759 accessesView PDFCite
Research ArticleOpen accessIn the abstractHybrid Optimization to Trust Enhanced Secure Routing Optimization with IABC and CGWAA for MANETYuvaraja Panneer Selvam, Suganthi PerumalRouting in Mobile Ad Hoc Networks (MANET) presents significant challenges due to the dynamic nature of network topology. Optimal route selection and efficient route discovery are matched by effective routing in MANET. This study proposes a Hybrid Optimization to Trust-Enhanced Secure Routing Optimization (HO-TESRO) designed to address these challenges in IoT environments by integrating metrics such as link stability, bandwidth, … …Journal of Computer Science, Vol. 21, Issue 4 · 19 Mar 2025 · 4,983 accessesView PDFCite
Research ArticleOpen accessIn the abstractDetection of a Moving Car Based on Invariant MomentsAbdul Monem Rahma, Nabaa Basil AbdThis paper presents a proposed technique based on Invariant Moments to detect moving cars in front of Autonomous Cars in order to increase safety and reduce road accidents, thus saving lives, which are one of the most important matters in the context of Autonomous Cars. Object detection from a sequence of images is preparatory step but a crucial mission for … …Journal of Computer Science, Vol. 14, Issue 3 · 20 Nov 2017 · 7,636 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Implementation of Online Learning for Early Detection of Cervical CancerHery Harjono Muljo, Bens Pardamean, Anzaludin Samsinga PerbangsaCervical cancer is the second leading type of cancer causing death among women in Indonesia. The mortality rate caused by cervical cancer could be reduced through an early detection program, which would require the training of healthcare workers in educating women in Indonesia. The aim of this study was to develop an online learning management system prototype that is suitable … …Journal of Computer Science, Vol. 13, Issue 11 · 9 Nov 2017 · 7,566 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeatures Reweighting and Similarity Coefficient Based Method for Email Spam FilteringAli Ahmed, Ammar Ahmed E. Elhadi, Ahmed Osman Ali ElsiddigSpam is flooding the Internet with many copies of the same message, in an attempt to force the message on people who would not otherwise choose to receive it. Anti spam by determining whether or not an incoming email is spam has become an important problem. One of the main characters or the problem of Spam filtering is its high … …American Journal of Applied Sciences, Vol. 14, Issue 10 · 13 Oct 2017 · 7,804 accessesView PDFCite