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Research ArticleOpen accessIn the abstractVisually Impaired Children's Acceptances on Assistive CoursewareNurulnadwan Aziz, Nur Hazwani Mohamad Roseli, Ariffin Abdul MutalibProblem statement: The government of Malaysia is considering serious efforts in promoting the usage of computers among disabled people. Currently, the availability of computer applications especially related to creative contents for disabled people in Malaysia is infancy and very expensive. Research and expertise in the area of Assistive Technology (AT) in Malaysia is still uncommon and not extensively utilized. Therefore … …American Journal of Applied Sciences, Vol. 8, Issue 10 · 7 Sep 2011 · 7,277 accessesView PDFCite
Research ArticleOpen accessIn the abstractDevelopment of Software Reliability Growth Models for Industrial Applications Using Fuzzy LogicSultan AljahdaliProblem statement: The utilization of Software Reliability Growth Models (SRGM) plays a major role in monitoring progress, accurately predicting the number of faults in the software during both development and testing processes; define the release date of a software product, helps in allocating resources and estimating the cost for software maintenance. This leads to achieving the required reliability level of … …Journal of Computer Science, Vol. 7, Issue 10 · 9 Aug 2011 · 7,007 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 · 8,615 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntegration of Genetic Algorithm with Tabu Search for Job Shop Scheduling with Unordered Subsequence Exchange CrossoverR. Thamilselvan, P. BalasubramanieProblem statement: The problem of scheduling n jobs on m machines with each job having specific machine route has been researched over the decade. The Job Shop Scheduling (JSS) is one of the hardest combinatorial optimization problems. Each resource can process at most one job at a time. Approach: This study proposes a new approach to solve a Job Shop … …Journal of Computer Science, Vol. 8, Issue 5 · 24 Feb 2012 · 6,650 accessesView PDFCite
Research ArticleOpen accessIn the abstractMotivation and Sports Games in the Physical Education Sports Lesson a Student from the University of Medicine and Pharmacy "Carol Davila"Rachita Carmen, Draganescu ElenaProblem statement: At the behavioral manifestation of acts of physical education class at university is motivation. Purpose: Modeling the characteristics of personality and motivation of medical student's development following the establishment of an appropriate methodology to act in university physical education lessons by developing and implementing a strategic program included in organization, management and conduct training process-education, the means of … …Journal of Social Sciences, Vol. 7, Issue 4 · 10 Aug 2011 · 8,187 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Disruption-Tolerant Model for Building a Mobile Application Using Web ServiceMaryati Mohd. Yusof, Mansor Omar, Zarina ShukurProblem statement: The emerging technology in broadband telecommunication and mobile devices has increased the use of mobile applications. However, the use of mobile application is affected with low bandwidth or disrupted broadband telecommunication due to building blockage or out of coverage area. Approach: We proposed a Disruption-Tolerant Mobile Application Model (DTMA) that enables remote data access and overcomes constraint due … …Journal of Computer Science, Vol. 6, Issue 12 · 1 Dec 2010 · 7,219 accessesView PDFCite
Research ArticleOpen accessIn the abstractInverse Correlations for Multiple Time Series and Gaussian Random Fields and Measures of Their Linear DeterminismR.J. Bhansali, L. IppolitiFor a discrete-time vector linear stationary process, {X(t)}, admitting forward and backward autoregressive representations, the variance matrix of an optimal linear interpolator of X(t), based on a knowledge of {X(t-j), j≠0}, is known to be given by Ri(0)-1 where Ri(0) denotes the inverse variance of the process. Let A=Is-1Ri(0)ˉ1R(0)ˉ1, where R(0) denotes the variance matrix of {X(t)} and Is an … …Journal of Mathematics and Statistics, Vol. 1, Issue 4 · 31 Dec 2005 · 6,424 accessesView PDFCite
Research ArticleOpen accessIn the abstractSymbolic Aggregate approXimation-Local Binary Pattern Feature Descriptor Combination for Automatic Facial Expression RecognitionSumithra M.D., M. Abdul RahimanAutomatic identification of facial expression is a significant research area which is anticipated for real time processing in Human-Computer Interaction domain. Along with an efficient classifier for assigning the class label to each of the input face image, it is very necessary to have a strong feature vector for training the classifier. This paper proposes an effectual combination of Local … …Journal of Computer Science, Vol. 15, Issue 1 · 8 Jan 2019 · 7,513 accessesView PDFCite
Research ArticleOpen accessIn the abstractSentiment Analysis on User Reviews of Mutual Fund ApplicationsEvaristus Didik Madyatmadja, Shinta, Devi Susanti et al.The primary goal of this study is to compare the accuracyof the results of sentiment analysis using the Naive Bayes, Support VectorMachine (SVM), and Random Forest methods on one of the mutual fund application’s user reviews.The second goal is to identify user reviews of the mutual fund app to gaininsight into the topics covered by each sentiment. The user reviews … …Journal of Computer Science, Vol. 18, Issue 10 · 26 Sep 2022 · 6,441 accessesView PDFCite
Research ArticleOpen accessIn the abstractDeep Learning Approaches for Early Detection of Skin Cancer Disease Detection Using Segmentation and Classification with Severity AnalysisPunam R. Patil, Ritu TandonThe utmost prevalent type of the disease, skin cancer claims millions of lives every year, poses a serious public health threat particularly melanoma, which is often fatal if not detected early. Early diagnosis is crucial, yet traditional methods frequently fall short due to image quality limitations and the complexity of visual differentiation. With an emphasis on severity analysis, this study … …Journal of Computer Science, Vol. 21, Issue 9 · 24 Nov 2025 · 2,051 accessesView PDFCite