Research ArticleOpen accessIn the keywordsCoupling Routing Algorithm and Data Encoding for Low Power Networks on ChipMaurizio Palesi, Davide Patti, Giuseppe Ascia et al.The routing algorithm used in a Network-on-Chip (NoC) has a strong impact on both the functional and non functional indices of the overall system. Traditionally, routing algorithms have been designed considering performance and cost as the main objectives. In this study we focus on two important non functional metrics, namely, power dissipation and energy consumption. We propose a selection policy … …Journal of Computer Science, Vol. 11, Issue 3 · 4 May 2015 · 6,928 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA New Hybrid Approach for Heterogeneous Radio Access Technology SelectionJ. Preethi, S. PalaniswamiProblem statement: The Next generation wireless networks are heterogeneous in nature where different Radio Access Technologies (RAT) coexists in the same coverage area. The user terminal should be able to pick the best access technology such as Wireless Local Area Network (WLAN), Wireless Wide Area Networks (WWAN), the Universal Mobile Telecommunication Systems (UMTS) and the Global System for Mobile Telecommunication … …Journal of Computer Science, Vol. 8, Issue 5 · 2 Mar 2012 · 7,037 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA Reduction Algorithm for Analysis of Linear NeuronMohammad Dweib, Yousef AbuzirProblem statement: The aim of feature selection is to select a feature set that is relevant for a given application. Feature selection is complex and remains an important issue in many domains. In the field of neural networks, feature selection has been used in many applications and their methods have been employed. In this study we present neural network approaches … …Journal of Computer Science, Vol. 8, Issue 4 · 2 Feb 2012 · 6,840 accessesView PDFCite
Research ArticleOpen accessIn the keywordsStudy of Performance Analysis in Wired and Wireless NetworkV.B. Kirubanand, S. PalaniammalProblem statement: The main intent of this study is to derive a high performance clientserver network using hub, switch, Bluetooth, WI-Fi and Wimax using the steadfast algorithms. Approach: This study mainly focuses on M/M (a,b)/1 markovian model with adaboost algorithm and user selection algorithms to find performance on wired and wireless technologies in terms of service rate, arrival rate, Expected … …American Journal of Applied Sciences, Vol. 8, Issue 8 · 19 Jul 2011 · 7,472 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Improved Clustering Based Genetic Algorithm for Solving Complex NP ProblemsR. Sivaraj, T. RavichandranProblem statement: The selection process is a major factor in genetic algorithm which determines the optimality of solution for a complex problem. The selection pressure is the critical step which finds out the best individuals in the entire population for further genetic operators. The proposed algorithm tries to find out the best individuals with reduced selection pressure than standard genetic … …Journal of Computer Science, Vol. 7, Issue 7 · 28 Jun 2011 · 6,928 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeature Selection for High Dimensional Data: An Evolutionary Filter ApproachAnwar Ali Yahya, Addin Osman, Abd Rahman Ramli, Adlan BalolaProblem statement: Feature selection is a task of crucial importance for the application of machine learning in various domains. In addition, the recent increase of data dimensionality poses a severe challenge to many existing feature selection approaches with respect to efficiency and effectiveness. As an example, genetic algorithm is an effective search algorithm that lends itself directly to feature selection; … …Journal of Computer Science, Vol. 7, Issue 5 · 9 May 2011 · 7,946 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPREDICTION OF GLIOMA USING GENETIC OPTIMIZED NEURAL NETWORKS. Karpagam, S. GowriNeural networks are a computational paradigm model of the human brain that has become popular in recent years. We have tried to address the problem of Glioma by creating a more accurate classifier which can act as an expert assistant to medical practitioners. Brain stem gliomas are now recognized as a heterogenous group of tumors. In this study proposed a … …Journal of Computer Science, Vol. 9, Issue 11 · 1 Oct 2013 · 6,693 accessesView PDFCite
Research ArticleOpen accessIn the abstractPandemic Analysis and Preparedness Using a Three Layer Machine Learning ApproachArtika Singh, Manisha JailiaOutbreak analysis provides research-based information and data to enable scientific decision-making to manage an effective response to a pandemic. Pandemic analysis has its own set of challenges, such as limited data, the need for real time analysis, and the complexity of outbreak patterns. This study proposes a hybrid approach to manage such a spread through a 3-layer machine learning-based outbreak … …Journal of Computer Science, Vol. 22, Issue 11 · 15 Oct 2026 · 614 accessesView PDFCite
Research ArticleOpen accessIn the abstractExplainability Aware Heterogeneous Temporal Graph Transformer for Automated Genetic Disorder Detection from Genomic DataPuvaneswari Subramaniapillai, Indirani Govindasamy, Revathy GurumurthyGenetic disorders affect millions worldwide, posing major challenges for accurate diagnosis and effective treatments. New developments in genomic technologies, especially Next-Generation Sequencing (NGS), have enhanced the classification of genetic modification and improved diagnostic abilities. Moreover, the Machine Learning (ML) and Deep Learning (DL) methods emerged as efficient tools for evaluating the intricate genomic data and determining the patterns, which can … …Journal of Computer Science, Vol. 22, Issue 11 · 14 Oct 2026 · 566 accessesView PDFCite