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49 articles for “Algorithm Modification”
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Research ArticleOpen accessEvery word in the titleModel Classification for Predicting the Post-Translational Modification (PTM) Glycosylation in Sequence O Using an Extreme Gradient Boosting AlgorithmDamayanti, Sutyarso et al.Post Translational Modification (PTM) is an important mechanism involved in regulating protein function. Post-translational modification refers to the addition of covalent and enzymatic modifications of proteins in protein biosynthesis, which has an important role in modifying protein function and regulating gene expression. One of the post-translational modifications is glycosylation. Glycosylation is the addition of a sugar group to a protein … …Journal of Computer Science, Vol. 20, Issue 7 · 29 Apr 2024 · 5,554 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleProsody Modification of Standard Arabic Speech Using Combining Synchronous Overlap and Add With Fixed-Synthesis Algorithm and Multi Level Discrete Wavelet TransformYkhlef Faycal, Bensebti Mesaoud, Bendaouia LotfiProblem statement: The objective of prosody modification is to change the amplitude, duration and pitch (F0) of speech segments without altering their spectral envelop. Applications are numerous, including, Text-To-Speech synthesis, transformation of voice characteristics and foreign language learning. Several approaches have been developed in the literature to achieve this goal. The main restrictions of these latter are in the modification … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,836 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAn Empirical Study of Robust Modified Recursive Fits of Moving Average ModelsMohamed Ali Ismail, Hend A. Auda, Joe W. McKean, Mahmoud Mohamed SadekThe time-series Moving Average (MA) model is a nonlinear model; see, for example. For traditional Least Squares (LS) fits, there are several algorithms to use for computing its fit. Since the model is nonlinear, Fuller discusses a Newton-type step algorithm. proposed a recursive algorithm based on a sequence of three linear LS regressions. In this study, we robustify Koreisha and … …Journal of Mathematics and Statistics, Vol. 18, Issue 1 · 28 Jul 2022 · 5,859 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdaptive Data Transformation for Enhanced Clustering Performance in Diagnostic SystemsMohammed Subhi Al-BatahThis paper presents an enhanced approach to the Balanced Iterative Reducing and Clustering using Hierarchies (BIRCH) algorithm, aimed at improving clustering accuracy in medical data, specifically for breast cancer diagnosis. The proposed method introduces a modified data transformation technique to optimize the original BIRCH algorithm. This transformation refines the clustering process, resulting in significant improvements in diagnostic accuracy. The modified … …Journal of Computer Science, Vol. 21, Issue 9 · 17 Oct 2025 · 2,287 accessesView PDFCite
Research ArticleOpen accessIn the abstractCloud Privacy Preservation Using Improved Squeezenet Based Data Sanitization and Improved Lyrebird Optimization-Based Optimal Key GenerationSmita Sharma, Sanjay TyagiMaintaining privacy in the cloud is critical, which implies reliable and effective models that are adapted to the difficulties presented by cloud settings. This paper introduces a comprehensive privacy preservation model tailored specifically for cloud environments, comprising five important phases such as data acquisition, normalization, feature extraction, sanitization and restoration. It begins with the meticulous collection of data from diverse … …Journal of Computer Science, Vol. 21, Issue 7 · 20 Aug 2025 · 3,190 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Data Transmission Security through the Modified Hill Cipher and Henon Map Chaos FunctionSamsul Arifin, Kevin Tan, Felix Indra Kurniadi et al.The advancement and sophistication of technology in the present era have resulted in millions of people interacting and sharing data through the internet using various platforms such as email, chat applications, and others. This has led to the dissemination of personal information and data worldwide through the internet, which also poses the possibility of data interception by unauthorized parties. Data … …Journal of Computer Science, Vol. 21, Issue 6 · 28 Jun 2025 · 3,638 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
Research ArticleOpen accessIn the abstractImpact of Multiplex PCR Panel on Reducing Broad-Spectrum Antibiotic Use in Ventilator-Associated PneumoniaMaría Inés Staneloni, Emilio F. Huaier Arriazu et al.The extended use of broad-spectrum antimicrobials contribute to the growing threat of antimicrobial resistance. This study evaluated the impact of a multimodal strategy aiming at reducing the duration of broad-spectrum antimicrobial therapy in Ventilator-Associated Pneumonia (VAP). Conducted in a single Intensive Care Unit (ICU), this quasi-experimental, retrospective study compares a pre-intervention period (08/01/2018-07/01/2019) with an intervention period (08/01/2022-07/01/2023). Adult patients … …American Journal of Infectious Diseases, Vol. 21, Issue 1 · 8 Jul 2025 · 6,582 accessesView PDFCite
Research ArticleOpen accessIn the abstractGraph Coloring Program of Exam Scheduling Modeling Based on Bitwise Coloring Algorithm Using PythonSamsul Arifin, Indra Bayu Muktyas, Wikky Fawwaz Al Maki, Mohd Khairul Bazli Mohd AzizA graph coloring is the process of assigning labels to the vertices of a graph in such a way that no two adjacent vertices have the same color. The chromatic number of a graph G is the smallest number of colors that can be assigned to it. Graph coloring has a wide range of applications and is commonly used to … …Journal of Computer Science, Vol. 18, Issue 1 · 1 Feb 2022 · 9,702 accessesView PDFCite
Research ArticleOpen accessIn the abstractFals-Ism: A Graph Isomorphism Framework for Multi-Level Detection of Falsified PDF DocumentsJosue Nguinabe, Franklin Tchakounte et al.Fake Portable Document Format (PDF) documents are disseminated in an incredible rhythm across social media. Negative incidences are obvious but effective solutions identifying falsified items in the PDF are still in need. Unlike determining malicious scripts inserted into the file, this research aims at identifying falsified objects from different layers of the document. Specifically, we introduce Fals-Ism, a novel approach … …Journal of Computer Science, Vol. 19, Issue 5 · 11 May 2023 · 5,527 accessesView PDFCite