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36 results for “Multi-Core”
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Research ArticleOpen accessPhrase in the titleThe Effect of RSA Exponential Key Growth on the Multi-Core Computational ResourceMohamad A. Mohamed, Ammar Y. Tuama, Mokhairi Makhtar et al.Cryptography has been widely used as a mean to secure message communication. A cryptosystem is made up of a publicly available algorithm and a secretly kept key. The algorithm is responsible for transforming the original message into something unintelligible. The result of losing the key or cracked algorithm can be catastrophic, where all secret communications will be known to adversaries. … …American Journal of Engineering and Applied Sciences, Vol. 9, Issue 4 · 25 Nov 2016 · 7,827 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleHIT RATE MAXIMIZATION BY LOGICAL CACHE PARTITIONING IN A MULTI-CORE ENVIRONMENTS. Muthukumar, P. K. JawaharIt is imperative for any level of cache memory in a multi-core architecture to have a well defined, dynamic replacement algorithm in place to ensure consistent superlative performance. The most prevalently used LRU replacement policy does not acquaint itself dynamically to the changes in the workload. As a result, it can lead to sub-optimal performance for certain applications whose workloads … …Journal of Computer Science, Vol. 10, Issue 3 · 29 Nov 2013 · 6,283 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMembrane Computing Inspired Genetic Algorithm on Multi-Core ProcessorsAli Maroosi, Ravie Chandren MuniyandiMembrane computing is a branch of natural computing. Several studies have recently attempted to utilize the structure of membrane computing to improve intelligent algorithms. These studies have applied communication rules in membrane models to facilitate information exchange between membranes, thereby improving the performance of those algorithms. However, parallel membrane computing has not yet been considered. This study proposes a membrane … …Journal of Computer Science, Vol. 9, Issue 2 · 12 Apr 2013 · 6,625 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleMulti Microkernel Operating Systems for Multi-Core ProcessorsRami MatarnehProblem statement: In the midst of the huge development in processors industry as a response to the increasing demand for high-speed processors manufacturers were able to achieve the goal of producing the required processors, but this industry disappointed hopes, because it faced problems not amenable to solution, such as complexity, hard management and large consumption of energy. These problems forced … …Journal of Computer Science, Vol. 5, Issue 7 · 31 Jul 2009 · 7,547 accessesView PDFCite
Research ArticleOpen accessIn the keywordsPredictive Modeling Applied to Structured Clinical Data Extracted from Electronic Health Records: An Architectural Hypothesis and A First ExperimentAlessandra Pieroni, Alessandro Cabroni, Francesca Fallucchi, Noemi ScarpatoPredictive analysis is one of current important issues in the healthcare context. A lot of patients’ input data can be obtained from their Electronic Health Records. In our research, we propose a general architecture named Health Prediction Architecture. Initially, we consider that data refer to strongly structured health datasets (no free text). Our objectives are related to exploring some problems … …Journal of Computer Science, Vol. 17, Issue 9 · 7 Sep 2021 · 6,571 accessesView PDFCite
Research ArticleOpen accessIn the abstractDynamic Knowledge Driven Multi-Scale Spatiotemporal Fusion Framework for Reliable Multi-Horizon Traffic Flow ForecastingDeepika M S, P. Deepa Shenoy, Venugopal K RAccurate traffic flow forecasting remains a core challenge in intelligent transportation systems. Urban traffic patterns are characterised by complex spatiotemporal dependencies and inherent uncertainties, which complicate traffic forecasting. This study proposes a Dynamic Knowledge-Driven Spatiotemporal Fusion (DKDMSF) architecture to extract features of Multi-Scale traffic dynamics across various temporal traffic horizons. DKDMSF integrates Dynamic Spatial Attention (DSA) and Adaptive Graph Learning … …Journal of Computer Science, Vol. 22, Issue 9 · 30 Sep 2026 · 413 accessesView PDFCite
Research ArticleOpen accessIn the abstractNeurofeedback Therapy Meets Transformers: Rewiring Sleep Disorders Through AI-Driven EEG ModulationAmala Ann KA, Vaidhehi VSleep disorders such as insomnia, sleep Apnea, and hypersomnia significantly impair neurophysiological functioning, yet conventional treatments like Cognitive Behavioral Therapy for Insomnia (CBT-I) remain resource-intensive and difficult to personalize. This study introduces a novel AI-powered neurofeedback simulation framework designed to detect dysregulated EEG frequency band activity across sleep stages and simulate targeted interventions. A Transformer-based model serves as the core … …Journal of Computer Science, Vol. 22, Issue 2 · 3 Mar 2026 · 1,674 accessesView PDFCite
Research ArticleOpen accessIn the abstractCascaded MNetV3UNet: A Lightweight Two-Stage Architecture for High-Precision Brain Tumor Segmentation in MRIMayuri Popat, Sanskruti PatelPrecise brain tumor segmentation is an essential but quite challenging process in MRI images because of their irregular shapes, heterogeneous appearance, and low contrast with surrounding tissues. While U-Net-based architectures have achieved significant success, their high computational complexity limits deployment on resource-constrained systems. In this study, a Novel two-stage cascaded architecture, MNetV3UNet, is introduced, which employs the light-weight MobileNetV3-Large as … …Journal of Computer Science, Vol. 22, Issue 2 · 23 Feb 2026 · 1,788 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Load and Routing Protocols on Networks on Chip (NoC): An AnalysisShaily Jain, Chander Prabha, Ayman Noor et al.Communication infrastructure for multi-core Systems-on-Chip (SoCs) is provided by Network-on-Chip (NoC). Point-to-Point (P2P) and bus-based communication systems are NoCs and are two communication channels of NoC that can probably overcome the scalability and performance restrictions of NoC. Latency and throughput are two of the essential characteristic metrics measured for a routing algorithm that affect the performance of a given NoC. … …Journal of Computer Science, Vol. 20, Issue 11 · 29 Aug 2024 · 5,273 accessesView PDFCite
Research ArticleOpen accessIn the abstractAnalyzing Effect on Residual Learning by Gradual Narrowing Fully-Connected Layer Width and Implementing Inception Block in Convolution LayerSaurabh SharmaResearch conducted on the advancement of CNN architecture for computer vision problems focuses on strategically choosing and modifying convolution hyperparameters (kernel, pooling, etc.). However, these research works don't exploit the advantage of employing multi fully-connected layers post the core schema to avail further performance improvements, which have been identified as the first research gap. Studies were also conducted to address … …Journal of Computer Science, Vol. 18, Issue 5 · 24 May 2022 · 6,044 accessesView PDFCite