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95 articles for “Simulated Data”
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Research ArticleOpen accessIn the abstractMusic Information Retrieval Schemes in Peer-to-Peer EnvironmentsChaokun Wang, Jianzhong Li, Shengfei ShiPeer-to-peer systems are useful tools for music applications. Existing peer-to-peer systems support the storing and sharing of music data, however they cannot effectively and efficiently support the content-based information retrieval and the cooperation of musicians. This study focuses on the methods of content-based music information retrieval in peer-to-peer environments. Four music information retrieval schemes are evaluated in detail on communication … …Journal of Computer Science, Vol. 1, Issue 3 · 30 Sep 2005 · 6,553 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Enhancement of Bayesian Inference Network for Ligand-Based Virtual Screening using Features SelectionAli Ahmed, Ammar Abdo, Naomie SalimProblem statement: Similarity based Virtual Screening (VS) deals with a large amount of data containing irrelevant and/or redundant fragments or features. Recent use of Bayesian network as an alternative for existing tools for similarity based VS has received noticeable attention of the researchers in the field of chemoinformatics. Approach: To this end, different models of Bayesian network have been developed. … …American Journal of Applied Sciences, Vol. 8, Issue 4 · 18 Apr 2011 · 7,724 accessesView PDFCite
Research ArticleOpen accessIn the abstractChallenges of Hidden Data in the Unused Area Two within Executable FilesA. W. Naji, A. A. Zaidan, B. B. ZaidanProblem statement: The executable files are one of the most important files in operating systems and in most systems designed by developers (programmers/software engineers), and then hiding information in these file is the basic goal for this study, because most users of any system cannot alter or modify the content of these files. There are many challenges of hidden data … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 7,855 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Numerical Computation of Rational Structures and Asymptotic Standard Deviations in Causal Time Series DataConcepción González-Concepción, María Candelaria Gil-Fariña, Celina Pestano-GabinoProblem statement: The specific properties of data series are of primary importance in several sciences. In the field of time series analysis, several researchers have considered the rational approximation theory, particularly the Padé Approximation and Orthogonal Polynomials. Approach: In this study, an approach for the statistical significance of two numerical methods, the r-s and q-d algorithm, was proposed which made … …Journal of Mathematics and Statistics, Vol. 5, Issue 3 · 30 Sep 2009 · 7,054 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Air-Written Real-Time Multilingual Numeral String Recognition System Using Deep Convolutional Neural NetworksMeenal Jabde, Chandrashekhar Himmatrao Patil, Amol D. Vibhute, Shankar MaliAir-writing is a modern practice for free-space writing of characters or words with hand or finger movements. In the new era, hand gestures are commonly used for Human-Computer Interaction (HCI) or controlling machines in several applications. Writing with a finger or holding any object in hand and 3-D movement in the air is helpful for several applications. However, it is … …Journal of Computer Science, Vol. 20, Issue 12 · 8 Nov 2024 · 5,261 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing IoT RPL Protocol Security Against Black Hole Attacks with Deep Learning TechniquesKrari Ayoub, Hajami Abdelmajid, Toubi Ayoub, Mihi SoukainaAs the Internet of Things (IoT) extends its reach into critical infrastructures, it encounters escalating security threats, particularly black hole attacks that jeopardize network communication. The growing use of IoT in essential services underscores the need for robust network integrity. Driven by this urgency, our research has developed a sophisticated detection framework that effectively identifies black hole attacks within IoT … …Journal of Computer Science, Vol. 20, Issue 11 · 18 Oct 2024 · 5,004 accessesView PDFCite
Research ArticleOpen accessIn the abstractVirtual Teak Tree Computational Model for Envisaging the Contribution by Using Functional-Structural Plant ModellingBryan Aleron, Indra Gunawan, Ditdit Nugeraha UtamaThe teak tree (Tectona grandis) has several positive contributions to the environment quality wood raw materials, deep and strong roots to help maintain soil stability and prevent erosion and habitat for various types of animals. On the other hand, teak also has an important role in producing oxygen and rarely do people directly see the growth of teak trees from … …Journal of Computer Science, Vol. 20, Issue 8 · 19 Jun 2024 · 5,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractConvolution Neural Networks of Dynamically Sized Filters with Modified Stochastic Gradient Descent Optimizer for Sound ClassificationManu Pratap Singh, Pratibha RashmiDeep Neural Networks (DNNs), specifically Convolution Neural Networks (CNNs) are found well suited to address the problem of sound classification due to their ability to capture the pattern of time and frequency domain. Mostly the convolutional neural networks are trained and tested with time-frequency patches of sound samples in the form of 2D pattern vectors. Generally, existing pre-trained convolutional neural … …Journal of Computer Science, Vol. 20, Issue 1 · 13 Dec 2023 · 5,786 accessesView PDFCite
Research ArticleOpen accessIn the abstractPiecewise Positivity Preserving Cubic Bezier Interpolation for Estimating Solar Radiation Missing Value in Penang, MalaysiaAzizan Saaban, Mohd Lutfi Zainudin, Mohd Nazari Abu BakarComplete solar radiation data is important in variety of disciplines such as solar radiation development system or solar project which is strongly affected by hourly variation of the solar radiation. However, the available data may contain missing data for several days in the absence of measurement due to several factors such as instrument failure and human errors. In this study, … …Journal of Mathematics and Statistics, Vol. 12, Issue 4 · 28 Dec 2016 · 7,125 accessesView PDFCite
Research ArticleOpen accessIn the abstractApplication of Neuro-Fuzzy Techniques for Solar RadiationW. A. Rahoma, U. Ali Rahoma, A. H. HassanProblem statement: The prediction is very useful in solar energy applications because it permits to estimate solar data for locations where measurements are not available. The developed artificial intelligence models predict the solar radiation time series more effectively compared to the conventional procedures based on the clearness index. Approach: The forecasting ability of some models could be further enhanced with … …Journal of Computer Science, Vol. 7, Issue 10 · 11 Aug 2011 · 7,080 accessesView PDFCite