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Research ArticleOpen accessEvery word in the titleRobust Speech Recognition Using Fusion Techniques and Adaptive FilteringS. A.R. Al-Haddad, S. A. Samad, A. Hussain et al.The study proposes an algorithm for noise cancellation by using recursive least square (RLS) and pattern recognition by using fusion method of Dynamic Time Warping (DTW) and Hidden Markov Model (HMM). Speech signals are often corrupted with background noise and the changes in signal characteristics could be fast. These issues are especially important for robust speech recognition. Robustness is a … …American Journal of Applied Sciences, Vol. 6, Issue 2 · 28 Feb 2009 · 7,993 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleEvaluating Common Reconnaissance Tools and Techniques for Information GatheringIsaac Odun-Ayo, Emmanuel Owoka, Otavie Okuoyo et al.A reconnaissance attack is a commonly overlooked step in penetration testing but a critical step that could help increase the effectiveness of an attack on a target. However, it is a common attack faced by companies and institutions, among others. It enables the attacker or penetration tester to gain valuable information on the target and select the best tools and … …Journal of Computer Science, Vol. 18, Issue 2 · 16 Mar 2022 · 7,805 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePSYCHOLOGICAL INTERVENTION INCLUDING EMOTIONAL FREEDOM TECHNIQUES FOR AN ADULT WITH MOTOR VEHICLE ACCIDENT RELATED POSTTRAUMATIC STRESS DISORDER: A CASE STUDYTerri SheldonPosttraumatic Stress Disorder (PTSD) is a significant public health concern and can have long-term emotional, social and financial consequences for individuals and society. Lifetime prevalence in the general population is estimated at 8% and rates of exposure to Post-Traumatic Events (PTE) indicate approximately 50 to 65% have been exposed to at least one PTE in their lives. This indicates that … …Current Research in Psychology, Vol. 5, Issue 1 · 18 Jul 2014 · 11,329 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA COMPARISON OF STEPWISE AND FUZZY MULTIPLE REGRESSION ANALYSIS TECHNIQUES FOR MANAGING SOFTWARE PROJECT RISKS: ANALYSIS PHASEAbdelrafe Elzamly, Burairah HussinRisk is not always avoidable, but it is controllable. The aim of this study is to identify whether those techniques are effective in reducing software failure. This motivates the authors to continue the effort to enrich the managing software project risks with consider mining and quantitative approach with large data set. In this study, two new techniques are introduced namely … …Journal of Computer Science, Vol. 10, Issue 9 · 22 Apr 2014 · 7,288 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleA Comparative Study in Classification Techniques for Unsupervised Record Linkage ModelMohammadreza Ektefa, Fatimah Sidi, Hamidah Ibrahim et al.Problem statement: Record linkage is a technique which is used to detect and match duplicate records which are generated in data integration process. A variety of record linkage algorithms with different steps have been developed in order to detect such duplicate records. To find out whether two records are duplicate or not, supervised and unsupervised classification techniques are utilized in … …Journal of Computer Science, Vol. 7, Issue 3 · 7 Mar 2011 · 8,199 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleEnhancement of GPS Position Accuracy Using Machine Vision and Deep Learning TechniquesAshwani Kumar AggarwalThe accuracy of GPS position estimation in urban cities is an issue which need to be resolved using machine vision and deep learning techniques. The accuracy of GPS in horizontal direction is better than in the vertical direction. Although for most of the navigation applications in intelligent transportation systems, horizontal positioning accuracy is vital, but vertical position accuracy gives idea … …Journal of Computer Science, Vol. 16, Issue 5 · 25 May 2020 · 18,669 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleStudy and Analysis of Prediction Model for Heart Disease Data Using Machine Learning TechniquesB. Santhi, K. RenukaHeart disease is the number one cause of death for all communities of individuals in advanced countries and a major problem for emerging nations too. Doctors’ availability to care for the general population could not catch up with the present demand for healthcare. So, there is a severe need for a support system to assist save individuals. With novel ML … …Journal of Computer Science, Vol. 16, Issue 3 · 26 Mar 2020 · 7,784 accessesView PDFCite
Research ArticleOpen accessEvery word in the titlePerformance Evaluation of Interference Mitigation Techniques in 4G Networks in Mobile EnvironmentsEmna Hajlaoui, Abdelhakim Khlifi, Samia Dardouri et al.Intercell Interference (ICI) is one of the major factors that limit the performance and Quality of Service (QoS) of 4G wireless networks (Long Term Evolution/LTE-Advanced). For this reason, heterogeneous networks present an attractive solution for the improvement of mobile network’s services to provide better data rates and coverage. So, a key scheme in 4G traffic processing is the interference mitigation … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 7,317 accessesView PDFCite
Research ArticleOpen accessEvery word in the titleArabic Poetry Authorship Attribution using Machine Learning TechniquesAl-Falahi Ahmed, Ramdani Mohamed, Bellafkih MostafaIn this study, authorship attribution in Arabic poetry will be conducted to determine the authorship of a specified text after documents with recognized authorships have been allocated. This work also measures the impact performance of Naïve Bayes, Support Vector Machine and Linear discriminant analysis for Arabic poetry authorship attribution using text mining classification. Several features such as lexical features, character … …Journal of Computer Science, Vol. 15, Issue 7 · 27 Jul 2019 · 150,975 accessesView PDFCite
Review ArticleOpen accessEvery word in the titleSurvey on Representation Techniques for Malware Detection SystemGamal Abdel Nassir Mohamed, Norafida Bte IthninMalicious programs are malignant software’s designed by hackers or cyber offenders with a harmful intent to disrupt computer operation. In various researches, we found that the balance between designing an accurate architecture that can detect the malware and track several advanced techniques that malware creators apply to get variants of malware are always a difficult line. Hence the study of … …American Journal of Applied Sciences, Vol. 14, Issue 11 · 10 Jul 2017 · 8,582 accessesView PDFCite