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Research ArticleOpen accessEvery word in the titleIoT Intrusion Detection using Auto-Encoder and Machine Learning TechniquesAhmed Ridha Khudhu, Khairulmizam SamsudinIoTnetwork refers to the capability of connecting smart and various devices to asingle network for the sake of performing a particular task. Similar toconventional networks, IoT networks are vulnerable to several attacks.Therefore, IoT Intrusion Detection has caught much research attention. Severalstudies have examined the task of intrusion detection for IoT networks. Withinsuch studies, the focus was set to accommodate a … …Journal of Computer Science, Vol. 18, Issue 10 · 27 Sep 2022 · 6,463 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Hybrid Method of Long Short-Term Memory and Auto-Encoder Architectures for Sarcasm DetectionMohammed M. AL-Ani, Nazlia Omar, Ahmed Adil NafeaSarcasm detection is considered one of the most challenging tasks in sentiment analysis and opinion mining applications in the social media. Sarcasm identification is therefore essential for a good public opinion decision. There are some studies on sarcasm detection that apply standard word2vec model and have shown great performance with word-level analysis. However, once a sequence of terms is being … …Journal of Computer Science, Vol. 17, Issue 11 · 1 Dec 2021 · 7,191 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Music Auto-Tagging with Convolutional Neural NetworksShaleen Bengani, S. Vadivel, J. Angel Arul JothiTechnology is revolutionizing the way in which music is distributed and consumed. As a result, millions of songs are instantly available to millions of people, on the Internet. This has created the need for novel music search and discovery services. Music is often searched using descriptive keywords, or tags, based on the content of the song. Hence, one very important … …Journal of Computer Science, Vol. 15, Issue 8 · 27 Aug 2019 · 7,847 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Deoxyribonucleic Acid Compression Algorithm Using Auto-Regression and Swarm IntelligenceWalid Aly, Basheer Yousif, Bassem ZohdyDNA compression challenge has become a major task for many researchers as a result of exponential increase of produced DNA sequences in gene databases; in this research we attempt to solve the DNA compression challenge by developing a lossless compression algorithm. The proposed algorithm works in horizontal mode using a substitutional-statistical technique which is based on Auto Regression modeling (AR), … …Journal of Computer Science, Vol. 9, Issue 6 · 30 May 2013 · 6,734 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,968 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePredictive Autonomicity of Web Services in the MAWeS FrameworkEmilio P. Mancini, Massimiliano Rak, Roberto Torella, Umberto VillanoIn Web Services designs classical optimization techniques are not applicable. A possible solution to guarantee critical requirements is the use of an autonomic architecture, able to auto-configure and to auto-tune. This study presents MAWeS (MetaPL/HeSSE Autonomic Web Services), a framework whose aim is to support the development of self-optimizing predictive autonomic systems for Web service architectures. It adopts a simulation-based … …Journal of Computer Science, Vol. 2, Issue 6 · 30 Jun 2006 · 7,073 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleThe Duality of AIM2 Inflammasome: A Focus on its Role in Autoimmunity and Skin DiseasesMiriam CanaveseUnderstanding the inflammasome biology is one of the most exciting challenges in immuno-pharmacology. The role of the inflammasomes has been recognized in the host defense mechanism against invading pathogens and in the development of several conditions, such as cancer, auto-inflammatory, autoimmune, metabolic and neurodegenerative disorders. DNA recognition by the cells is a crucial immunological step leading to the initiation of … …American Journal of Pharmacology and Toxicology, Vol. 11, Issue 1 · 23 Apr 2016 · 7,376 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Self-Tuning Proportional-Integral-Derivative Controller for an Autonomous Underwater Vehicle, Based On Taguchi MethodM. Santhakumar, T. AsokanProblem statement: Conventional Proportional-Integral-Derivative (PID) controllers exhibit moderately good performance once the PID gains are properly tuned. However, when the dynamic characteristics of the system are time dependent or the operating conditions of the system vary, it is necessary to retune the gains to obtain desired performance. This situation has renewed the interest of researchers and practitioners in PID control. … …Journal of Computer Science, Vol. 6, Issue 8 · 31 Aug 2010 · 7,859 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAutoencoder-Based Intrusion Detection for ARP Poisoning in SDN ControllersKago Seemela, Banyatsang Mphago, Thabo Semong, Phephisa MethulaAddress Resolution Protocol (ARP) poisoning is still a critical control plane attack in Software Defined Networks (SDNs), and spoofing of ARP mappings can trick SDNs controller and accomplish man in the middle, eavesdropping and denial of service attacks. Current SDN intrusion detection systems of ARP attacks rely on supervised learning and labelled attack data which is rather expensive and not … …Journal of Computer Science, Vol. 22, Issue 7 · 21 Jul 2026 · 875 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleAn AI-Assisted Research Automation System for Scholarly Paper Retrieval and Review With Workflow OrchestrationSompoch Tongnamtiang, Manirath Wongsim, Natarpha SatchawateeThe rapid growth of scholarly publications has increased the complexity of conducting rigorous and reproducible literature reviews, while traditional manual review processes are increasingly constrained by information overload, time consumption, and inconsistencies in screening decisions. This study proposes an AI-assisted research automation system that integrates workflow orchestration with literature retrieval and review support mechanisms to address these challenges. The workflow … …Journal of Computer Science, Vol. 22, Issue 7 · 6 Jul 2026 · 1,499 accessesView PDFCite