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236 results for “correlation based”
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Research ArticleOpen accessIn the abstractTelomere Length Measurement by Quantitative Real-time PCR: A Molecular Marker for Human Age PredictionNaglaa F. Alhusseini, Abdelmonem G. MadbolyThe fact that telomere shortening occurs with aging leads to the hypothesis that a correlation could be made between Telomere Length (TL) and suspect age. This study aimed to assess if TL can be used as an investigational tool to predict human age through developing a formula based on this correlation with accuracy suitable to be applied in forensic practice. … …American Journal of Biochemistry and Biotechnology, Vol. 12, Issue 1 · 24 Mar 2016 · 8,011 accessesView PDFCite
Research ArticleOpen accessIn the abstractCross-Language Semantic Similarity of Arabic-English Short Phrases and SentencesSalha AlzahraniMeasuring cross-language semantic similarity between short texts is a task that is challenging in terms of human understanding. This paper addresses this problem by carrying out a study of Arabic–English semantic similarity in short phrases and sentences. Human-rated benchmark dataset was carefully constructed for this research. Dictionary and machine translation techniques were employed to determine the relatedness between the cross-lingual … …Journal of Computer Science, Vol. 12, Issue 1 · 12 Mar 2016 · 7,511 accessesView PDFCite
Research ArticleOpen accessIn the abstractTHE RELATIONSHIP BETWEEN HETEROSIS AND GENETIC DISTANCES BASED ON SSR MARKERS IN HELIANTHUS ANNUUSA. V. Usatov, A. I. Klimenko, K. V. Azarin et al.Identifying the best inbred combinations for the development of commercial hybrid of sunflower remains the main challenge to sunflower breeders. In the present research the level of heterosis of F1 hybrids, genetic diversity of parental lines based on SSR markers, as well as its connection with specific combining ability of sunflower were studied. Ten sunflower elite inbred lines (3 restorer … …American Journal of Agricultural and Biological Sciences, Vol. 9, Issue 3 · 7 Mar 2014 · 8,007 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessing Soil Fertility Status of Rehabilitated Degraded Tropical RainforestAiza Shaliha Jamaluddin, Arifin Abdu, Hazandy Abdul-Hamid et al.An assessment of forest rehabilitation program in relation to soil fertility status by using soil indices could provide fundamental information on soil suitability for species preferences and improve the effective technique for future rehabilitation program in tropical rainforests. This study was conducted in order to characterize the soil properties and identifying the soil fertility status of rehabilitated and secondary forests. … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 19 Jul 2013 · 8,461 accessesView PDFCite
Research ArticleOpen accessIn the abstractBehaviour Based Worm Detection and Signature AutomationMohammed Anbar, Selvakumar Manickam, Al-Samarraie Hosam et al.Problem statement: A worm is a malicious piece of code that self-propagates, often via network connections, to exploit security flaws in computers connected through the network. In general, worms do not need any human intervention to propagate and are considered a real threat to network assets and the properties of organizations. An Intrusion Detection Systems (IDSs) are employed to detect … …Journal of Computer Science, Vol. 7, Issue 11 · 6 Sep 2011 · 6,899 accessesView PDFCite
Research ArticleOpen accessIn the abstractMotion Detection and Projection Based Block Motion Estimation Using the Radon Transform for Video CodingShilpa P. Metkar, Sanjay N. TalbarProblem statement: Motion estimation and compensation is the most computationally complex module of video coder. In this study, an innovative algorithm was proposed for a further complexity reduction of the Motion Estimation (ME) module of video coder by employing motion detection prior to motion compensation. Approach: A Motion Detection (MD) module can be added to the video coder in order … …Journal of Computer Science, Vol. 6, Issue 9 · 30 Sep 2010 · 7,330 accessesView PDFCite
Research ArticleOpen accessIn the abstractStatistical Approach for Offline Handwritten Signature VerificationDebnath Bhattacharyya, Samir Kumar Bandyopadhyay, Poulami Das et al.Signatures were considered an important tool for authenticating the identity of human beings. So, signature verification was one of the biggest uses for that. We proposed an algorithmic approach for the verification of handwritten signatures by applying some statistical methods. The research work was based on the collection of set of signatures from which an average signature was obtained based … …Journal of Computer Science, Vol. 4, Issue 3 · 31 Mar 2008 · 7,480 accessesView PDFCite
Research ArticleOpen accessIn the abstractStress and Job Satisfaction among Air Force Military PilotsKhodabakhsh Ahmadi, Kolivand AlirezaStress induces impairment of performance is a relatively common issue in pilots of military aviation. The present study aimed at gathering preliminary data on the relationship between stress and job satisfaction among military pilots, so determine to what extent military pilots suffering from job satisfaction. This study was cross- sectional in design and used survey methodology. The survey was offered … …Journal of Social Sciences, Vol. 3, Issue 3 · 30 Sep 2007 · 10,963 accessesView PDFCite
Research ArticleOpen accessIn the abstractPredicting Smartphone Addiction in Teenagers: An Integrative Model Incorporating Machine Learning and Big Five Personality TraitsJacobo Osorio, Marko Figueroa, Lenis WongSmartphone addiction has emerged as a growing concern in society, particularly among teenagers, due to its potential negative impact on physical, emotional social well-being. The excessive use of smartphones has consistently shown associations with negative outcomes, highlighting a strong dependence on these devices, which often leads to detrimental effects on mental health, including heightened levels of anxiety, distress, stress depression. … …Journal of Computer Science, Vol. 20, Issue 2 · 29 Dec 2023 · 8,238 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch on the Link Between Economic Development Variables and the Rate of Access to Drinking Water in Rural Senegal Using Machine LearningAnabilaye Moussa Coly, Alioune Ly, Ndolane Diouf et al.After pre-processing a set of data collected from Senegalese state structures, official United Nations (UN), and world bank sites and after replacing missing values by interpolation using the mean between two values, we study the effect of macroeconomic development variables on the rate of access to drinking water in rural Senegal. To do this, we use Machine Learning (ML) techniques … …American Journal of Applied Sciences, Vol. 20, Issue 1 · 20 Dec 2023 · 6,208 accessesView PDFCite