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6 articles for “feed-back effect”

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Research ArticleOpen accessIn the keywordsErythropoietin-Like Effects of Dihydroartemisinin in Wistar Albino RatsUtoh-Nedosa Uchechukwu Anastasia, Nedosa Kenechi Stanislaus, Onyedibe Ikenna KennethArtemisinin drugs were active during the intra-erythrocytic stage of malaria parasite infection. The activity of artemisinin and synthetic endoperoxides was related to their interaction with heme. The electrophillic intermediate formed from artemisinin in the presence of heme alkylates the protein portion of hemoglobin preferentially to the heme portion. Problem statement: Since there might be an interaction between artemisinin and the … …American Journal of Agricultural and Biological Sciences, Vol. 6, Issue 4 · 9 Dec 2011 · 7,785 accessesView PDFCite
Research ArticleOpen accessIn the abstractFEED FORWARD BACK PROPAGATION NEURAL NETWORK BASED CHARACTER RECOGNITION SYSTEM FOR TAMIL PALM LEAF MANUSCRIPTSJ. Ramya, B. ParvathavarthiniOptical character recognition refers to the process of translating segmented hand-written images or typewritten images into machine editable text. In this study, we propose a Tamil palm leaf manuscripts character recognition system using FFBNN technology. First the palm leaf manuscripts characters are segmented by exploiting the sliding window and adaptive histogram calculation. Afterwards, these segmented characters are assembled and then … …Journal of Computer Science, Vol. 10, Issue 4 · 21 Dec 2013 · 7,160 accessesView PDFCite
Research ArticleOpen accessIn the abstractRestoration of Biodiversity and EcosystemIgnacio Santa-Regina, M. C. Santa-ReginaSuccession is one of the most studied processes in ecology and succession theory provides strong predictability. However, few attempts have been made to influence the course of succession thereby testing the hypothesis that the passage of one stage is essential to enter a next one. At each stage of succession ecosystem processes may be affected by the diversity of species … …American Journal of Engineering and Applied Sciences, Vol. 6, Issue 1 · 10 Mar 2013 · 6,984 accessesView PDFCite
Research ArticleOpen accessIn the abstractForecasting River Flow in the USA: A Comparison between Auto-Regression and Neural Network Non-Parametric ModelsAbdel K.M. Baareh, Alaa F. Sheta, Khaled A. KhnaifesForecasting a time series became one of the most challenging tasks to variety of data sets. The existence of large number of parameters to be estimated and the effect of uncertainty and outliers in the measurements makes the time series modeling too complicated. Recently, Artificial Neural Network (ANN) became quite successful tool to handle time series modeling problem. This paper … …Journal of Computer Science, Vol. 2, Issue 10 · 31 Oct 2006 · 6,962 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordA Heuristic Moving Vehicle Location Prediction Technique Via Optimal Paths Selection with Aid of Genetic Algorithm and Feed Forward Back Propagation Neural NetworkE. Baby Anitha, K. DuraiswamyThe moving object or vehicle location prediction based on their spatial and temporal information is an important task in many applications. Different methods were utilized for performing the vehicle movement detection and prediction process. In such works, there is a lack of analysis in predicting the vehicles location in current as well as in future. Moreover, such methods compute the … …Journal of Computer Science, Vol. 8, Issue 12 · 12 Dec 2012 · 8,888 accessesView PDFCite
Research ArticleOpen accessAll words, across the recordKnowledge Representation of Ion-Sensitive Field-Effect Transistor Voltage Response for Potassium Ion Concentration Detection in Mixed Potassium/Ammonium Ion SolutionsWan Fazlida Hanim Abdullah, Mohd Alaudin Mohd Ali, Md Shabiul Islam, Masuri OthmanProblem statement: The Ion-Sensitive Field-Effect Transistor (ISFET) is a metal-oxide field-effect transistor-based sensor that reacts to ionic activity at the electrolye/membrane/gate interface. The ionic sensor faces issue of selectivity from interfering ions that contribute to the sensor electrical response in mixed solutions. Approach: We present the training data collection of ISFET voltage response for the purpose of post-processing stage neural … …American Journal of Applied Sciences, Vol. 7, Issue 1 · 31 Jan 2010 · 7,816 accessesView PDFCite