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560 results for “Neural network”
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Research ArticleOpen accessIn the abstractForecasting and Modelling Electricity Demand Using Anfis PredictorM. Mordjaoui, B. BoudjemaProblem statement: Load forecasting plays an important task in power system planning, operation and control. It has received an increasing attention over the years by academic researchers and practitioners. Control, security assessment, optimum planning of power production required a precise short term load forecasting. Approach: This study tries to combine neural network and fuzzy logic for next week electric load … …Journal of Mathematics and Statistics, Vol. 7, Issue 4 · 14 Sep 2011 · 7,811 accessesView PDFCite
Research ArticleOpen accessIn the abstractHighway Traffic Incident Detection using High-Resolution Aerial Remote Sensing ImagerySeyed Mostafa Mousavi Kahaki, Md. Jan NordinProblem statement: As vehicle population increases, Intelligent Transportation Systems (ITS) become more significant and mandatory in today’s overpopulated world. Vital problems in transportation such as mobility and safety of transportation are considered more, especially in metropolitans and highways. The main road traffic monitoring aims are: the acquisition and analysis of traffic figures, such as number of vehicles, incident detection and … …Journal of Computer Science, Vol. 7, Issue 6 · 15 Jun 2011 · 7,707 accessesView PDFCite
Research ArticleOpen accessIn the abstractGraph Based Segmentation in Content Based Image RetrievalP. S. Suhasini, K. S.R. Krishna, I. V.M. KrishnaProblem statement: Traditional image retrieval systems are content based image retrieval systems which rely on low-level features for indexing and retrieval of images. CBIR systems fail to meet user expectations because of the gap between the low level features used by such systems and the high level perception of images by humans. To meet the requirement as a preprocessing step … …Journal of Computer Science, Vol. 4, Issue 8 · 31 Aug 2008 · 6,581 accessesView PDFCite
Research ArticleOpen accessIn the abstractComputation of a Single-phase Shell-Type Transformer Windings Forces Caused by Inrush and Short-circuit CurrentsM. B.B. Sharifian, R. Esmaeilzadeh, M. Farrokhifar et al.This research studies the forces on the windings of transformer due to inrush current. These forces are compared with the corresponding forces due to short-circuit of the windings. Two-dimensional finite element computation of a single-phase shell-type transformer is carried out based on the maximum permissible inrush current value where its amplitude is the same as the rated short-circuit current. To … …Journal of Computer Science, Vol. 4, Issue 1 · 31 Jan 2008 · 7,429 accessesView PDFCite
Research ArticleOpen accessIn the abstractArtificial Intelligence Based Three-Phase Unified Power Quality ConditionerMoleykutty GeorgePower quality is an important measure of the performance of an electrical power system. This paper discusses the topology, control strategies using artificial intelligent based controllers and the performance of a unified power quality conditioner for power quality improvement. UPQC is an integration of shunt and series compensation to limit the harmonic contamination within 5 %, the limit imposed by … …Journal of Computer Science, Vol. 3, Issue 7 · 31 Jul 2007 · 6,911 accessesView PDFCite
Research ArticleOpen accessIn the abstractA New Look to Adaptive Temporal Radial Basis Function Applied in Speech RecognitionMesbahi Larbi, Benyettou AbdelkaderThis study presents new contribution towards the Adaptive Temporal Radial Basis Function (ATRBF) applied to Continuous speech recognition, in particular the recognition of phonemes like Timit Corpus. ATRBF combines features from Time Delay Neural Network (TDNN) and the advantages of Radial Basis Function (RBF). The capacity to detect the acoustic features and their independent temporal report of the temporal localisation … …Journal of Computer Science, Vol. 1, Issue 1 · 31 Dec 2005 · 7,684 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Multi Layer Perceptron Along with Memory Efficient Feature Extraction Approach for Bengali Document CategorizationQuazi Ishtiaque Mahmud, Noymul Islam Chowdhury, Md MasumIn terms of the total number of speakers in the world Bengali stands as the seventh language and it has been used by approximately 265 million people worldwide. Day by day more people are expressing their views and opinions in Bengali in digital platforms like blogs and social media on various topics. Despite this, very little work has been done … …Journal of Computer Science, Vol. 16, Issue 3 · 28 Mar 2020 · 7,815 accessesView PDFCite
Research ArticleOpen accessIn the abstractSolving Multi-Objective Master Production Scheduling Model of Kalak Refinery System Using Hybrid Evolutionary Imperialist Competitive AlgorithmShereen Saleem Sadiq, Adnan Mohsin Abdulazeez, Habibollah HaronThe improvement of operational planning in the field of oil refinery management is becoming increasingly essential and valid. The influential primary factor, among others, is the ever-changing economic climate. The industry must continually assess the potential impacts of variations in the final product demand, price fluctuations, crude oil compositions and even seek out immediate opportunities within the market. The Master … …Journal of Computer Science, Vol. 16, Issue 2 · 12 Feb 2020 · 7,827 accessesView PDFCite
Research ArticleOpen accessIn the abstractLong Short-Term Memory Model for Classification of English-PtBR Cross-Lingual Hate SpeechThiago D. Bispo, Hendrik T. Macedo, Flávio de O. Santos et al.Automatic and accurate recognition of hate speech is a difficult job. In addition to the inherent ambiguity of the natural language, deep understanding of the linguistic structure is imperative. Usually, discriminatory discourse does not make use of typical expressions and often abuse of sarcasm. Good knowledge of world and assessment of context are thus highly demanded. Several approaches have been … …Journal of Computer Science, Vol. 15, Issue 10 · 1 Nov 2019 · 7,338 accessesView PDFCite
Review ArticleOpen accessIn the abstractProtein Sequences Features Extraction for Predicting Beta- Turns and their Types: A ReviewMurtada Khalafallah Elbashir ElfakiBeta-turns are considered to be important secondary structure types that have essential role in molecular recognition, protein folding and stability. They represent 25% of protein structures, therefore they are the most common type of non-repetitive or tight turns structures. Their prediction is considered to be an important issue in bioinformatics and molecular biology, because it provides valuable information and inputs … …Journal of Computer Science, Vol. 15, Issue 9 · 1 Oct 2019 · 7,694 accessesView PDFCite