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65 results for “Genetic Parameters”
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Research ArticleOpen accessIn the abstractPerformance of Hybrid GANN in Comparison with Other Standalone Models on Dengue Outbreak PredictionNor Azura Husin, Norwati Mustapha, Md. Nasir Sulaiman et al.Early prediction of diseases especially dengue fever in the case of Malaysia, is very crucial to enable health authorities to develop response strategies and context preventive intervention programs such as awareness campaigns for the high risk population before an outbreak occurs. Some of the deficiencies in dengue epidemiology are insufficient awareness on the parameter as well as the combination among … …Journal of Computer Science, Vol. 12, Issue 6 · 2 Jul 2016 · 8,162 accessesView PDFCite
Research ArticleOpen accessIn the abstractAssessment of Genetic Purity of Parental Lines of Hybrid Rice Using DNA-Based MarkersSunil Bhavsar, Twinkle Solanki, Suchita Amin, Neeru JainAssessment of hybrid seed genetic purity is one of the most important quality control parameters in hybrid seed production. With the objective of replacing the GOT with DNA based assays, Cytoplasmic Male Sterile (CMS), restorer and hybrid lines have been screened by means of microsatellite and Sequence Tagged Site (STS) markers. Cytoplasmic Male Sterile (CMS) lines often get contaminated with … …OnLine Journal of Biological Sciences, Vol. 15, Issue 2 · 13 Jun 2015 · 7,436 accessesView PDFCite
Research ArticleOpen accessIn the abstractWEEDS IDENTIFICATION USING EVOLUTIONARY ARTIFICIAL INTELLIGENCE ALGORITHMAhmed M. Tobal, Sahar A. MokhtarIn a world reached a population of six billion humans increasingly demand it for food, feed with a water shortage and the decline of agricultural land and the deterioration of the climate needs 1.5 billion hectares of agricultural land and in case of failure to combat pests needs about 4 billion hectares. Weeds represent 34% of the whole pests while … …Journal of Computer Science, Vol. 10, Issue 8 · 4 Mar 2014 · 7,823 accessesView PDFCite
Research ArticleOpen accessIn the abstractCASE REPORT OF A PATIENT WITH RARE P.ARG136CYS (APOE2*) MUTATION IN APOLIPOPROTEIN E GENEJana Lisyova, Jan Chandoga, Stanislav Oravec et al.Apolipoprotein E (apoE) is a polymorphic glycoprotein associated with plasma lipoproteins and plays an essential role in the metabolism and clearance of plasma lipids. ApoE can represent the major genetic risk factor in development of premature atherosclerosis, coronary heart disease and late-onset familial and sporadic Alzheimer’s Disease (AD). We present a case report of a 51-year old male with suspected … …OnLine Journal of Biological Sciences, Vol. 14, Issue 1 · 9 Jan 2014 · 7,295 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Control Algorithms for Second Order SystemsDanilo Pelusi, Raffaele MascellaProportional Integral Derivative (PID) controllers are widely used in industrial processes for their simplicity and robustness. The main application problems are the tuning of PID parameters to obtain good settling time, rise time and overshoot. The challenge is to improve the timing parameters to achieve optimal control performances. Remarkable findings are obtained through the use of Artificial Intelligence techniques as … …Journal of Computer Science, Vol. 9, Issue 2 · 2 Apr 2013 · 7,029 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Assessment of Echocardiography as a Diagnostic Tool for Dilated Cardiomyopathy in Turkey (Meleagris gallopavo)Davida Kamara, Kwaku Gyenai, Tuoyu Geng et al.Our understanding of the etiology of Dilated Cardiomyopathy (DCM), which affects about 5% of turkeys, is limited. This limitation may be due to the lack of an easy-to-use diagnostic tool with well-defined parameters and does not involve necropsy. This lack of a widely tested non-necropsy method makes it difficult for a large-scale study of the genetic factors that underlie DCM. … …American Journal of Animal and Veterinary Sciences, Vol. 7, Issue 3 · 15 Aug 2012 · 8,451 accessesView PDFCite
Research ArticleOpen accessIn the abstractEnd to End Delay Improvement in Heterogeneous Multicast Network using Genetic OptimizationV. Chandrasekar, K. BaskaranProblem statement: Multicast is a concept of group communication which refers to transmitting the same data or messages from a source to multiple destinations in the network. This one-to-many group communication is a generalization of the concepts of one-to-one unicast and one-to-all broadcast. To deliver data from the sender to all receivers efficiently, routing plays an important role in multicast … …Journal of Computer Science, Vol. 8, Issue 9 · 13 Aug 2012 · 6,733 accessesView PDFCite
Research ArticleOpen accessIn the abstractAn Effective System for Acute Spotting Aberration in the Speech of Abnormal Children Via Artificial Neural Network and Genetic AlgorithmC. R. Bharathi, V. ShanthiProblem statement: In real-world environment, speech signal processing plays a vital role among the research communities. A wide range of researches are carried out in this field for denoising, enhancement and more. Besides the other, stress management is important to identify the spot in which the stress has to be made. Approach: In this study, in order to provide proper … …American Journal of Applied Sciences, Vol. 9, Issue 10 · 13 Aug 2012 · 7,205 accessesView PDFCite
Research ArticleOpen accessIn the abstractDigital Simulation, Design, Comparitive Analysis of Intelligent Controllers in Adjustable Speed Drives for PQ EnhancementA. Srikrishnan, B. Justus RabiProblem statement: This study deals with the analysis, design and comparison between fuzzy and genetic based adjustable speed drives with respect to the parameters which determines the quality of power. Approach: ASD system using fuzzy controllers provide ride-through capability during voltage sags, reduces harmonics, improves power factor and is highly reliable, whereas by using genetic algorithm optimized ASD systems, the … …American Journal of Applied Sciences, Vol. 9, Issue 1 · 21 Nov 2011 · 7,012 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Genetic Based Neuro Fuzzy Technique for Process Grain Sized Scheduling of Parallel JobsSadasivam Vijayakumar Sudha, Keppanagowder ThanushkodiProblem statement: In this study, we present the development of genetic algorithm based neuro fuzzy technique for process grain sized in scheduling of parallel jobs with the help of real lIfe workload data. Approach: The study uses the rule based scheduling strategy for the scheduling and classIfies all possible scheduling strategies. The rule bases are developed with the help of … …Journal of Computer Science, Vol. 8, Issue 1 · 26 Oct 2011 · 7,339 accessesView PDFCite