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74 results for “pipeline”
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Research ArticleOpen accessEvery word in the titleParallel Algorithms for String Matching Problem on Single and Two Dimensional Reconfigurable Pipelined Bus SystemsS. Viswanadha Raju, A. Vinaya BabuWe considered string matching on LARPBS and 2D LARPBS. This has applications such as string databases, cellular automata and computational biology. The main use of this method is to reduce the time spent on comparisons in string matching by using LARPBS. We investigated exact string matching and approximate string matching problems. For these two sub problems, we obtained O (n) … …Journal of Computer Science, Vol. 3, Issue 9 · 30 Sep 2007 · 6,530 accessesView PDFCite
Research ArticleOpen accessIn the keywordsModelling of Digital Assisted Backend Correction Analogue to Digital Converters with Verilog-AGong Yuehong, Luo Min, Ma JianguoProblem statement: Pipelined architecture is considered to be the most suitable for high-speed and high-resolution applications among varies Nyquist Analogue to Digital Converters (ADCs) in nowadays digital signal processing domain. But the pipeline power consumption is growing with the technology scaling. For a pipeline ADC with high speed and high resolution, the fore-end track and hold amplifier and residual amplifier … …Current Research in Nanotechnology, Vol. 2, Issue 2 · 3 Sep 2012 · 7,601 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDesign of Multi-Valued Quaternary Based Analog-to-Digital ConverterA.H.M. Zahirul Alam, Wahab Adetunji Lawal, Sheroz Khan, Muhammad Mahbubur RashidProblem statement: The design of multi-valued quaternary based Analog-to-Digital Converter (ADC) circuit was presented. The ADC generates multi-valued logic outputs rather than the conventional binary output system to overall reduction in circuit complexity and size. Approach: Design was implemented using pipeline ADC architecture and was simulated using model parameters based on standard 0.13 µm CMOS process. Results: Performance analysis of … …American Journal of Applied Sciences, Vol. 6, Issue 8 · 31 Aug 2009 · 7,291 accessesView PDFCite
Research ArticleOpen accessIn the keywordsParallel Implementation of Polygon Clipping Using TransputerMohammad Qatawneh, Azzam Sleit, Wesam AlmobaideenThis research describes a parallel implementation of Liang-Barsky clipping algorithm on a pipeline network configuration. The implemented configuration uses pipeline of four transputers and programmed under Occam2 language. In order to achieve the concurrency, to improve the performance and to cut down the hold-ups caused by the calculation of intersection, data buffering is used. …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,385 accessesView PDFCite
Research ArticleOpen accessIn the keywordsHardware Implementation of Higher Throughput Anti-Collision Algorithm for Radio Frequency Identification SystemJahariah Sampe, Masuri OthmanThis paper presents a proposed hardware implementation of Higher Throughput Anti-Collision Algorithm (HTACA) for Radio Frequency Identification (RFID) system. Our proposed HTACA combines a pipeline and a deterministic anti-collision technique in order to enhance its performances. These downlink and uplink operations are concurrently executed during the identification process. The downlink operation is purposely pre-selected a group of tags base on … …American Journal of Engineering and Applied Sciences, Vol. 1, Issue 2 · 30 Jun 2008 · 7,443 accessesView PDFCite
Research ArticleOpen accessIn the keywordsBy-pass Devices as Effective Means of Protection from the Hydraulic HammerKhalid S. Al-RababaSwitching-off the parallel working pump units causes sudden discharge changes in parallel pipe lines, as a result of that hydraulic shocks takes place. The damping of these shocks can be achieved by the installation of the by-pass devices between the parallel lines of the piping system. The analytical calculations demonstrate that the reduction in hydraulic shocks reaches 40% and considerable … …American Journal of Applied Sciences, Vol. 2, Issue 2 · 28 Feb 2005 · 6,912 accessesView PDFCite
Research ArticleOpen accessIn the abstractHMA-RAG: A Hierarchical Memory Augmented Retrieval Augmented Generation Framework for Fake News DetectionAfnan Altarjami, Sawsan AlshattnawiExisting methods for detecting fake news, such as traditional machine learning and transformer-based models, often work as separate classifiers that do not use outside evidence, historical knowledge, or ways to make the results easier to understand. This paper presents a framework that combines retrieval augmentation and hierarchical memory to overcome three primary constraints: Insufficient external evidence, the absence of memory, … …Journal of Computer Science, Vol. 22, Issue 9 · 7 Sep 2026 · 735 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnsemble Learning for Proactive Detection of Network-Intrusion-Based Insurance FraudBenjamin Asubam Weyori, Selorm Kofi Tagbo et al.We propose an ensemble learning pipeline that proactively integrates Stacking Feature Embedding (SFE) with Principal Component Analysis (PCA) and tree-based ensembles to proactively detect insurance fraud originating from network intrusions. The main contributions are: (1) the novel integration of SFE-PCA as a meta-feature construction step for tabular network flow data; (2) a sensitivity analysis that justifies PCA reduction ratios used … …Journal of Computer Science, Vol. 22, Issue 7 · 16 Jul 2026 · 935 accessesView PDFCite
Research ArticleOpen accessIn the abstractBenchmarking Lightweight Deep Learning Models for Field Based Sorghum Leaf Disease DetectionPrince Daughin Ngqabutho NcubeSorghum is a climate-resilient cereal crop central to food and livelihood security across Southern Africa, yet its productivity is frequently reduced by foliar diseases that smallholder farmers struggle to diagnose reliably in the field. While deep learning has demonstrated strong potential for automated plant disease identification, sorghum remains underrepresented in the literature, and no prior study has provided a comprehensive, … …Journal of Computer Science, Vol. 22, Issue 10 · 29 Sep 2026 · 535 accessesView PDFCite
Research ArticleOpen accessIn the abstractAbstractive Summarization of Long Educational Transcripts in the Era of GenAIDeepa Fernandes, Rupali Sunil WaghThe surge in online video data presents the imperative requirement of summarizing it for information compression, efficient understanding, and to support decision-making. Recent research studies have predominantly utilized structured input data for summarization. This paper explores the current state-of-the-art models in summarizing unstructured, conversational, and long transcript data. We further apply a transfer learning approach using a fine-tuned BART model, … …Journal of Computer Science, Vol. 22, Issue 8 · 7 Sep 2026 · 403 accessesView PDFCite