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25 articles for “Novel Clustering”
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Research ArticleOpen accessEvery word in the titleA Novel Unique Node Based Clustering and Location-Key Pair Based Security for Wireless NetworksT. R. Vedhavathy, M. S.K. ManikandanWireless ad hoc networks are used in emergency situations especially for surveillance and monitoring. The nodes in the ad hoc networks are self-organized and can accommodate by themselves with the available resources. The nodes are capable of random movement and hence there is no fixed infrastructure. The purpose of the ad hoc networks can be fulfilled only if all nodes … …Journal of Computer Science, Vol. 11, Issue 3 · 23 Apr 2015 · 6,430 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA NOVEL APPROACH BASED ON GENETIC FUZZY CLUSTERING AND ADAPTIVE NEURAL NETWORKS FOR SALES FORECASTINGAttariuas Hichama, Bouhorma Mohameda, El Fallahi AbdellahbThis article proposes a new hybrid sales forecasting system based on genetic fuzzy clustering and Back-Propagation (BP) Neural Networks with adaptive learning rate (GFCBPN).The proposed architecture consists of three stages: (1) utilizing Winter’s Exponential Smoothing method and Fuzzy C-Means clustering, all normalized data records will be categorized into k clusters; (2) using an adapted Genetic Fuzzy System (MCGFS), the fuzzy … …Journal of Computer Science, Vol. 9, Issue 8 · 2 Jul 2013 · 6,669 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Novel Distributed Clustering Algorithm for Mobile Ad-hoc NetworksSahar Adabi, Sam Jabbehdari, Amirmasoud Rahmani, Sepideh AdabiThis paper proposed a new Distributed Score Based Clustering Algorithm (DSBCA) for Mobile Ad-hoc Networks (MANETs).In MANETs, select suitable nodes in clusters as cluster heads are so important. The proposed Clustering Algorithm considers the Battery Remaining, Number of Neighbors, Number of Members, and Stability in order to calculate the node's score with a linear algorithm. After each node calculates its … …Journal of Computer Science, Vol. 4, Issue 2 · 28 Feb 2008 · 7,114 accessesView PDFCite
Review ArticleOpen accessIn the abstractA Bibliometric and Scientometric Analysis of the Marine Biotechnology Research Using CiteSpace: A Web of Science Based Study (1980-2023)Jasnizat Saidin, Idham Sumarto Pratama, Mohamad Nor Azra et al.A growing interest in marine biotechnology has spurred the exploitation of oceanic resources for novel products. However, a comprehensive, data-driven mapping of this evolving landscape remains limited. This study presents a systematic scientometric analysis using CiteSpace to map global research trends and structural knowledge domains in marine biotechnology. Utilizing metadata extracted from the Web of Science Core Collection (WoSCC) database, … …OnLine Journal of Biological Sciences, Vol. 26, Issue 3 · 28 Sep 2026 · 505 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Misuse and Anomaly Intrusion Detection System Using Hybrid Supervised and Unsupervised Data Mining ApproachesHoma Molavi, Mohammad KhanbabaeiIntrusion Detection Systems (IDSs) play a crucial role in monitoring computer network security. Data mining and machine learning techniques facilitate the identification of intrusion patterns within large volumes of data. Hybrid data mining models have become increasingly popular in IDSs due to their enhanced effectiveness. This study presents a novel hybrid IDS that combines misuse and anomaly detection by integrating … …Journal of Computer Science, Vol. 22, Issue 6 · 6 Jul 2026 · 999 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Novel Dialect-Aware Framework for the Classification of Arabic Dialects and EmotionsNasser AlsadhanArabic is one of the oldest languages still in use today. As a result, several Arabic-speaking regions have developed dialects that are unique to them. Dialect and emotion recognition have various uses in Arabic text analysis, such as determining an online customer's origin based on their comments. Furthermore, intelligent chatbots that are aware of a user's emotions can respond appropriately … …Journal of Computer Science, Vol. 21, Issue 1 · 8 Dec 2024 · 5,411 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Hybrid Model to Predict the Performance of Trainee Teachers Based on Clustering and ClassificationYissam Lakhdar, Khawla EL-Bendadi, Brahim BakkasThis article explores how artificial intelligence, particularly machine learning, can be used to assess and predict the performance of trainee teachers in Morocco. Considering the country's focus on integrating technology into education and the challenges posed by the COVID-19 pandemic, the authors propose a novel hybrid model that combines clustering and classification algorithms. This model aims to understand the Information … …Journal of Computer Science, Vol. 20, Issue 9 · 26 Jun 2024 · 5,100 accessesView PDFCite
Research ArticleOpen accessIn the abstractSemSimp: A Parametric Method for Evaluating the Semantic Similarity of Digital ResourcesAntonio De Nicola, Anna Formica, Ida Mele, Francesco TaglinoAbioui, H., Idarrou, A., Bouzit, A., & Mammass, D. (2018). Towards a Novel and Generic Approach for OWL Ontology Weighting. Procedia Computer Science, 127, 426–435. https://doi.org/10.1016/j.procs.2018.01.140 Adhikari, A., Dutta, B., Dutta, A., Mondal, D., & Singh, S. (2018). An intrinsic information content-based semantic similarity measure considering the disjoint common subsumers of concepts of an ontology. Journal of the Association for … …Journal of Computer Science, Vol. 20, Issue 8 · 27 May 2024 · 5,773 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Clustering based Approach for Contextual Anomaly Detection in Internet of ThingsDina ElMenshawy, Waleed Helmy, Neamat El-TaziInternet of Things (IoT) is a network which connects different communication devices with the internet to attain quick, robust and real-time information transfer and communication, achieving intelligent management. IoT is still in its infancy so it faces numerous challenges varying from data management to security concerns. Sensors generate enormous quantities of data that need to be handled efficiently to have … …Journal of Computer Science, Vol. 15, Issue 8 · 24 Aug 2019 · 7,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Optimized Mobile Cloud Computational Offloading Framework using K-Means AlgorithmMeena Veeraiyan, S. Kousika, J. Senthilkumar, Joy Christy AntonysamiOffloading the execution of heavy computational modules from mobile devices to Mobile Cloud Computing (MCC) is inevitable in today’s era as it mainly focuses in consuming less battery power and execution time. But, the problem incurred with identifying the most optimal cloud device to map each module still remains a challenge in cloud computing environment. In this paper, a novel … …Journal of Computer Science, Vol. 16, Issue 2 · 31 Jan 2020 · 8,084 accessesView PDFCite