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9 articles for “Sliding Window”
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Research ArticleOpen accessPhrase in the titleCorrelation Based Approach with a Sliding Window Model to Detect and Mitigate Ddos AttacksD. Ayyamuthukumar, S. KarthikDDoS attacks have become very popular since the turn of this millennium and has stayed in the headlines due to ever increasing and sometimes devastating attacks on popular web servers. In this study, we deal with DDoS attacks by proposing a correlation based approach with a sliding window model to detect and mitigate DDoS attack. The proposed scheme identifies malicious … …Journal of Computer Science, Vol. 11, Issue 2 · 2 Feb 2015 · 6,745 accessesView PDFCite
Research ArticleOpen accessPhrase in the titleA Fast Pattern Matching Algorithm with Two Sliding Windows (TSW)Amjad Hudaib, Rola Al-Khalid, Dima Suleiman et al.In this research, we propose a fast pattern matching algorithm: The Two Sliding Windows (TSW) algorithm. The algorithm makes use of two sliding windows, each window has a size that is equal to the pattern length. Both windows slide in parallel over the text until the first occurrence of the pattern is found or until both windows reach the middle … …Journal of Computer Science, Vol. 4, Issue 5 · 31 May 2008 · 7,499 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFEED FORWARD BACK PROPAGATION NEURAL NETWORK BASED CHARACTER RECOGNITION SYSTEM FOR TAMIL PALM LEAF MANUSCRIPTSJ. Ramya, B. ParvathavarthiniOptical character recognition refers to the process of translating segmented hand-written images or typewritten images into machine editable text. In this study, we propose a Tamil palm leaf manuscripts character recognition system using FFBNN technology. First the palm leaf manuscripts characters are segmented by exploiting the sliding window and adaptive histogram calculation. Afterwards, these segmented characters are assembled and then … …Journal of Computer Science, Vol. 10, Issue 4 · 21 Dec 2013 · 7,160 accessesView PDFCite
Research ArticleOpen accessIn the keywordsForecasting of Multistep Multivariate Financial Data Through GSO Algorithm Infused Vanilla LSTM ModelNikhitha Pai, Ilango Velchamy, Nithya B RameshPredicting time series in the financial domain requires using models that can do sequence processing tasks. One such model is the LSTM model which belongs to the family of deep learning networks. The performance measure of LSTM in a regression task is to bring down the error in the predicted values. In this study, a novel fused LSTM model integrating … …Journal of Computer Science, Vol. 19, Issue 7 · 10 Jul 2023 · 6,074 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Analysis and Overview of Modern Digital WatermarkingY. Arockia Raj, P. AlliProblem statement: The major growth of information technology is based on the growth of computer networks. The computer network diminished the entire global in a nutshell, via the internet and the intranet capabilities. Approach: In the recent year, communicating information within authenticated groups in the text, image and video formats are highly unavoidable one. And in the same manner, there … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 5 Nov 2011 · 7,718 accessesView PDFCite
Research ArticleOpen accessIn the abstractReal-Time Monitoring and Injury Risk Warning Algorithm Based on Data Fusion of Motor Muscle ContractionGuomin Wang, Jingying HuangThe existing sports injury warning algorithms are difficult to achieve dynamic injury risk modeling based on individual muscle characteristics while ensuring real-time fusion efficiency of multimodal signals. This article proposes a real-time muscle contraction state perception and injury risk warning algorithm based on adaptive weighted feature fusion and lightweight temporal modeling. The system synchronously collected surface electromyography (sEMG), Inertial Measurement … …American Journal of Biochemistry and Biotechnology, Vol. 22, Issue 3 · 10 Aug 2026 · 1,089 accessesView PDFCite
Research ArticleOpen accessIn the abstractAutomatic Digitization of Engineering Diagrams using Intelligent AlgorithmsPremanand Ghadekar, Shaunak Joshi, Debabrata Swain et al.At present usage of computational intelligence became the ultimate need of the heavy engineering industries. Digitization can be achieved in these sectors by scanning the hard copy images. When older documents are digitized are not of very high fidelity and therefore the accuracy, reliability of the estimates of components such as equipment and materials after digitization are remarkably low since … …Journal of Computer Science, Vol. 17, Issue 9 · 28 Sep 2021 · 7,058 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultipatch-GLCM for Texture Feature Extraction on Classification of the Colon Histopathology Images using Deep Neural Network with GPU AccelerationToto Haryanto, Adib Pratama, Heru Suhartanto et al.Cancer is one of the leading causes of death in the world. It is the main reason why research in this field becomes challenging. Not only for the pathologist but also from the view of a computer scientist. Hematoxylin and Eosin (H&E) images are the most common modalities used by the pathologist for cancer detection. The status of cancer with … …Journal of Computer Science, Vol. 16, Issue 3 · 5 Mar 2020 · 9,215 accessesView PDFCite
Research ArticleOpen accessIn the abstractFormal Validation of the Safety Property of Sack Protocol Using Theorem Proving TechniqueZ. Shukur, N. Alias, M. H. Mohamed Halip, B. IdrusThis paper demonstrates the formal validation process of safety properties of Selective ACKnowledgment (SACK) protocol. SACK is a complex communication protocol as it is used in various types of distributed computer systems and networks. This acknowledgment mechanism is used with sliding window protocol that allows the receiver to acknowledge packets received out of order, but within the correct sliding window. … …Journal of Computer Science, Vol. 3, Issue 6 · 30 Jun 2007 · 6,227 accessesView PDFCite