Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

286 results for “sets”
Set a search alert
Research ArticleOpen accessEvery word in the titleWeb Document Segmentation Using Frequent Term Sets for SummarizationChitra Pasupathi, Baskaran Ramachandran, Sarukesi KarunakaranQuery sensitive summarization aims at extracting the query relevant contents from web documents. Web page segmentation focuses on reducing the run time overhead of the summarization systems by grouping the related contents of a web page into segments. At query time, query relevant segments of the web page are identified and important sentences from these segments are extracted to compose … …Journal of Computer Science, Vol. 8, Issue 12 · 19 Dec 2012 · 6,675 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePeak-to-Average Power Ratio Reduction Using Active Constellation Extension-Projection Onto Convex Sets Combined with Particle Swarm Optimization Added to Space Time Bloc Coding in Multiple Input Multiple Output-Orthogonal Frequency Division Multiplexing SystemAhmed Ouqour, Abdelhamid Louliej, Younes Jabrane et al.When generated Orthogonal Frequency Division Multiplexing (OFDM) signal is transmitted through a number of antennas in order to achieve diversity or cap any gain (higher transmission rate) then it is known as Multiple Input Multiple Output (MIMO)-OFDM. The full form of MIMO is multi input and multi output where signals are transmitted via multiple antennas instead of only one antenna … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 6,995 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleNovel Method of the Combination of Forecasts Based on Rough SetsEslam Faik Ahmed, Wang Jia Yang, Maan Younis AbdullahProblem statement: A study in Analytic Hierarchy Process (AHP) had shown the problem of quantify the qualitative and the side Combined. Approach: So that problems were better resolved. The rough sets theory and AHP was introduced in the study, furthermore, these were united to create a completely new method of combination forecasts. Results: The results of numerical examples were shown … …Journal of Computer Science, Vol. 5, Issue 6 · 30 Jun 2009 · 7,008 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleEfficient Decoding Algorithm for Binary Quadratic Residue Codes Using Reduced Permutation SetsHamza Boualame, Mostafa Belkasmi, Idriss ChanaThe Quadratic Residue (QR) codes have a rich mathematic structure. Unfortunately, their Algebraic Decoding (AD) is not generalizable for all QR codes. In this study, an efficient hard decoding algorithm is proposed to generalize the decoding of the binary systematic Quadratic Residue (QR) codes. The proposed decoder corrects t erroneous bits or less, in the received word, based on a … …Journal of Computer Science, Vol. 19, Issue 4 · 3 Apr 2023 · 6,020 accessesView PDFCite
CorrigendumOpen accessEvery word in the titleCorrigendum: Adaptive Resonance Theory Training Parameters: Pretty Good SetsTasir Mohammad Eldos, Abdulaziz Suleiman AlmazyadCorrection to: Journal of Computer Science http://doi.org/10.3844/jcssp.2010.1443.1449, published online 01 December 2010; updated 11 April 2018 The original version of this Article contained errors in the affiliation for Tasir Eldos. The correct affiliation for Mr. Tasir Eldos is as follows: Department of Computer Engineering, Jordan University of Science and Technology, Al Ramtha, Irbid Jordan These errors have now been corrected … …Journal of Computer Science, Vol. 14, Issue 3 · 12 Apr 2018 · 7,272 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleDisjoint Sets in Graphs and its Application to Electrical NetworksFord Lumban GaolProblem statement: One of the well known problems in Telecommunication and Electrical Power System is how to put Electrical Sensor Unit (ESU) in some various selected locations in the system. Approach: This problem was modeled as the vertex covering problems in graphs. The graph modeling of this problem as the minimum vertex covering set problem. Results: The degree covering set … …Journal of Mathematics and Statistics, Vol. 7, Issue 1 · 25 Mar 2011 · 7,621 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA framework to Deal with Missing Data in Data SetsLuai A. Shalabi, Mohannad Najjar, Ahmad A. KayedMost information systems usually have some missing values due to unavailable data. Missing values minimizing the quality of classification rules generated by a data mining system. Missing vales also affecting the quantity of classification rules achieved by the data mining system. Missing values could influence the coverage percentage and number of reducts generated. Missing values lead to the difficulty of … …Journal of Computer Science, Vol. 2, Issue 9 · 30 Sep 2006 · 7,140 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAttribute Reduction in Bipolar Intuitionistic Fuzzy Relation SystemWeiyuan Wang, Qian WangBipolar intuitionistic fuzzy relation system (BIFRS) effectively characterize the bipolarity in real-world data by introducing positive and negative membership and non-membership degrees. To address redundancy caused by high-dimensional attributes, this paper proposes an attribute reduction method based on bipolar intuitionistic discernibility matrices. By constructing positive discernibility matrix M+∗ matrix M−∗ and negative discernibility , we systematically identify the minimal attribute … …Journal of Mathematics and Statistics, Vol. 22, Issue 1 · 16 Jul 2026 · 1,070 accessesView PDFCite
Research ArticleOpen accessIn the keywordsIoT Anomaly Detection Using Picture Fuzzy Clustering ApproachFehmin Nadira Laskar, Vijo Arul Selvi M., Fokrul Alom Mazarbhuiya et al.Improving the effectiveness of security systems without slowing them down is a major challenge in cybersecurity. Many methods have been explored for detecting anomalous behaviour in network data, with fuzzy set-based approaches standing out for their potential. The Internet of Things (IoT) consists of many connected devices that constantly generate large amounts of data and perform tasks in real time. … …Journal of Computer Science, Vol. 22, Issue 3 · 6 Mar 2026 · 1,518 accessesView PDFCite
Research ArticleOpen accessIn the keywordsDetecting Anomalies in IoT Using Intuitionistic Fuzzy Clustering AlgorithmsVijo Arul Selvi M., Fehmin Nadira Laskar, Fokrul Alom Mazarbhuiya et al.Intuitionistic Fuzzy Sets (IFS) are convenient ways to represent the vagueness and uncertainty inherent in any dataset. There are many uses of these. One such use is the Fuzzy C-Means (FCM) algorithm, which clusters the data objects into a pre-assigned (c) number of fuzzy clusters, which has been adopted in many fields, namely, pattern classification, anomaly detection, fraud identification, etc. … …Journal of Computer Science, Vol. 22, Issue 2 · 2 Mar 2026 · 1,606 accessesView PDFCite