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63 articles for “Neural fuzz”
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Research ArticleOpen accessIn the keywordsA Meteorological Tower Based Wind Speed Prediction Model Using Fuzzy LogicSardar Maran Poongavanam, Ponnusamy RamalingamA number of wind speed prediction methods are available for estimating wind energy availability. In recent years there is a lot of research works carried out to predict wind speed by using mathematical and soft computing techniques. In this study the wind speed profile at different heights are predicted with the available meteorological tower data. The wind speed data at … …American Journal of Environmental Sciences, Vol. 9, Issue 3 · 7 May 2013 · 6,866 accessesView PDFCite
Research ArticleOpen accessIn the keywordsA 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
Research ArticleOpen accessIn the keywordsDevelopment 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 keywordsA Computer Aided Diagnosis System for Lung Cancer Detection\Using Support Vector MachineM. Gomathi, P. ThangarajProblem statement: Computer Tomography (CT) has been considered as the most sensitive imaging technique for early detection of lung cancer. Approach: On the other hand, there is a requirement for automated methodology to make use of large amount of data obtained CT images. Computer Aided Diagnosis (CAD) can be used efficiently for early detection of Lung Cancer. Results: The usage … …American Journal of Applied Sciences, Vol. 7, Issue 12 · 31 Dec 2010 · 8,285 accessesView PDFCite
Research ArticleOpen accessIn the keywordsAdvances in Electromyogram Signal Classification to Improve the Quality of Life for the Disabled and Aged PeopleMd. R. Ahsan, Muhammad I. Ibrahimy, Othman O. KhalifaProblem statement: The social demands for the Quality Of Life (QOL) are increasing with the exponentially expanding silver generation. To improve the QOL of the disabled and elderly people, robotic researchers and biomedical engineers have been trying to combine their techniques into the rehabilitation systems. Various biomedical signals (biosignals) acquired from a specialized tissue, organ, or cell system like the … …Journal of Computer Science, Vol. 6, Issue 7 · 31 Jul 2010 · 8,813 accessesView PDFCite
Research ArticleOpen accessIn the keywordsControl Techniques in Heating, Ventilating and Air Conditioning (HVAC) SystemsH. Mirinejad, S. H. Sadati, M. Ghasemian, H. TorabProblem statement: Heating, Ventilating and Air Conditioning (HVAC) systems are among the main installations in residential, commercial and industrial buildings. The purpose of the HVAC systems is normally to provide a comfortable environment in terms of temperature, humidity and other environmental parameters for the occupants as well as to save energy. Achieving these objectives requires a suitable control system design. … …Journal of Computer Science, Vol. 4, Issue 9 · 30 Sep 2008 · 19,948 accessesView PDFCite
Research ArticleOpen accessIn the keywordsFeedback of the Input Voltage in FDTC Control Using a Three-Level NPC-VSIR. Zaimeddine, E.M. BerkoukA new control structure for sensorless induction machine dedicated to electrical drives using a three-level voltage source inverter VSI-NPC is completely analysed. The amplitude and the rotating velocity of the flux vector could be controlled freely. Both fast torque and optimal switching logic could be achieved; the selection is based on the value of the stator flux and the torque. … …American Journal of Applied Sciences, Vol. 4, Issue 7 · 31 Jul 2007 · 6,687 accessesView PDFCite
Research ArticleOpen accessIn the abstractPolar Disentangled Non-Local Convolutional Neural Network for Skin Cancer Classification Using Dermoscopy ImagesUsha Thirugnanam, Nalini JosephSkin cancer classification is the process of identifying and categorizing various types of skin lesions into cancerous and non-cancerous. This process is performed to achieve accurate detection, which minimizes the risk of severe health complications. However, classifying the severity of skin lesion images is a difficult task because of subtle and overlapping visual patterns, which could lead to inaccurate performance. … …Journal of Computer Science, Vol. 22, Issue 6 · 16 Jun 2026 · 1,207 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Traffic Light System Using Convolutional Neural Network to Optimize Vehicle Flow in IndonesiaBhustomy Hakim, Fergie Joanda Kaunang, Yemima Monica Geasela, Regina HillaryTraffic congestion remains a persistent challenge in major Indonesian cities due to rapidly increasing vehicle density and the continued reliance on fixed-time traffic signal scheduling. This study aims to develop an intelligent traffic light system that dynamically adjusts sequencing based on real-time road conditions. A dataset of 902 CCTV images was collected from intersections in six large cities across Indonesia, … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 2,155 accessesView PDFCite
Research ArticleOpen accessIn the abstractComparison of an AI-Based Controller for a Positive Output Superlift DC-DC ConverterRicha Adlakha, Ashish Grover, Neha Chaudhary et al.DC-DC converters have emerged as crucial components in various industrial applications and form an integral part of power supplies based on switch-mode. Solar energy has garnered increasing significance owing to the scarcity of non-renewable fuels and its abundant availability. Photovoltaic (PV) technology, characterized by the arrangement of numerous series and parallel-connected PV cells within modules, generates DC output. Consequently, the … …Journal of Computer Science, Vol. 22, Issue 2 · 17 Feb 2026 · 1,542 accessesView PDFCite