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63 articles for “Information Gain (IG)”
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Research ArticleOpen accessIn the abstractProduction and Reproduction of Primiparous Guinea Pigs Concerning Lysine LevelsYasmeen Camila Vargas-Jauja, Karin Marleny Casilla-Huallpa, Liz Beatriz Chino-Velasquez et al.The development of breeding animals is essential to ensure the productivity of guinea pigs, so an adequate supply of nutrients is required. However, information on their nutritional requirements is limited, particularly with regard to amino acids such as lysine, wich affects their productive performance. We evaluated the effects of dietary lysine levels (0.84, 1.01, 1.18, and 1.34%) on prim parous … …American Journal of Animal and Veterinary Sciences, Vol. 20, Issue 2 · 28 May 2025 · 5,476 accessesView PDFCite
Research ArticleOpen accessIn the abstractBlockchain: An Efficient Intelligent Agreement for Patents and TrademarksVikram Shirol, Shanmuga RathinamIntellectual property security faces problems in the digital era, with growing piracy, AI-generated works, and global compliance problems, Creations, designs, trademarks, and trade secrets are all protected by Intellectual Property (IP) rights; yet, there are several issues with IP rights management and enforcement around the world. The benefits of blockchain technology include decentralization, transparency, and immutability. Therefore, blockchain offers to … …Journal of Computer Science, Vol. 21, Issue 3 · 20 Feb 2025 · 5,503 accessesView PDFCite
Research ArticleOpen accessIn the abstractSimulated Annealing Decoder for Linear Block CodesLahcen Niharmine, Hicham Bouzkraoui, Ahmed Azouaoui, Youssef HadiIn this study, we introduce a novel soft decoder, the first of its kind, for linear block codes, based on Simulated Annealing algorithm (SA). The main enhancement in our contribution which let our decoder over performs with large gain (about 3 dB at 710-4) the classical SA approach, is to take the most reliable information set of the received codeword … …Journal of Computer Science, Vol. 14, Issue 8 · 4 Sep 2018 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the abstractMapping Learning Algorithms on Data, a Useful Step for Optimizing Performances and Their ComparisonFilippo NeriIn this paper, we propose a novel methodology to map learning algorithms on data (performance map) in order to gain more insights into the distribution of their performances across their parameter space. This methodology provides useful information when selecting a learner's best configuration for the data at hand and it also enhances the comparison of learners across learning contexts. In … …Journal of Computer Science, Vol. 20, Issue 9 · 10 Jul 2024 · 4,505 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnhancing Pedestrian Detection Using Context InformationJorge Candido, Mauricio MarengoniDetecting pedestrians among other objects in a digital image is a relevant task in the field of computer vision. This paper presents a method to improve the performance of a pedestrian detection algorithm using context information. A neural network is used to classify the region below pedestrian candidates as being floor or non-floor. We assume that a pedestrian must be … …Journal of Computer Science, Vol. 14, Issue 7 · 6 Aug 2018 · 7,224 accessesView PDFCite
Research ArticleOpen accessIn the abstractDESIGN AND IMPLEMENTATION OF THE TPM USER AUTHENTICATION MODELMarwan Ibrahim Alshar’e, Rossilawati Sulaiman, Mohd Rosmadi Mokhtar, Abdullah MohdZinThe Trusted Computing Group (TCG) has introduced the Trusted Platform Module (TPM) as a solution to assure end users of their privacy and confidentiality. Although the TPM is designed to prevent software attacks, the TPM itself is vulnerable to physical attacks that could enable intruders to gain access to confidential data. In general, the TPM provides an ID and implements … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,619 accessesView PDFCite
Research ArticleOpen accessIn the abstractA COMPARATIVE STUDY OF COMBINED FEATURE SELECTION METHODS FOR ARABIC TEXT CLASSIFICATIONAisha Adel, Nazlia Omar, Adel Al-ShabiText classification is a very important task due to the huge amount of electronic documents. One of the problems of text classification is the high dimensionality of feature space. Researchers proposed many algorithms to select related features from text. These algorithms have been studied extensively for English text, while studies for Arabic are still limited. This study introduces an investigation … …Journal of Computer Science, Vol. 10, Issue 11 · 20 Dec 2014 · 8,439 accessesView PDFCite
Research ArticleOpen accessIn the abstractMatching LSI for Scalable Information RetrievalRajagopal Palsonkennedy, T. V. GopalLatent Semantic Indexing (LSI) is one of the well-liked techniques in the information retrieval fields. Different from the traditional information retrieval techniques, LSI is not based on the keyword matching simply. It uses statistics and algebraic computations. Based on Singular Value Decomposition (SVD), the higher dimensional matrix is converted to a lower dimensional approximate matrix, of which the noises could … …Journal of Computer Science, Vol. 8, Issue 12 · 2 Jan 2013 · 6,671 accessesView PDFCite
Research ArticleOpen accessIn the abstractReceiving the Agriculture Information through Mass Media and Interpersonal Sources among the Rural CommunityMd. Salleh Hassan, Sulaiman Md. Yassin, Hayrol Azril Mohamed Shaffril et al.Problem statement: Developing agriculture by disseminating the right information to the right groups has proven to be an effective strategy. In Malaysia, there are a number of sources; either mass media or personal sources that disseminate the agriculture information. The rural community, a group which are highly related to agriculture certainly have a pivotal need for agriculture information. Besides the … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 3 · 1 Oct 2011 · 8,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractPerformance of MMSE Receiver based Multi Input Multi Output-Interleave Division Multiple-Access System with Multi-user Detection over Frequency Selective Wireless Communication ChannelKuttathatti Srinivasan Vishvaksenan, R. SeshasayananProblem statement: This study presents the performance analysis of turbo assisted Interleave Division Multiple-Access (IDMA) system with Multi Input Multi Output (MIMO) support for multi user scenario over correlated frequency selective and uncorrelated frequency selective channel. Approach: The key principle of IDMA is that interleaver unique which distinguishes the users in contrast to spreading sequence in Code Division Multiple Access … …Journal of Computer Science, Vol. 7, Issue 7 · 30 Jun 2011 · 6,837 accessesView PDFCite