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280 results for “classification problem”
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Research ArticleOpen accessIn the abstractA Novel Approach to Signal Detection of Sensor Array Units Using 5-3-1 Rule Based Matched Filter Algorithm with Intelligent IdentifiersMahmoud Z. IskandaraniA novel approach to signal detection and identification was developed and tested. The new algorithm was based on provision of tagging a Matched Filter (MF) with identifiers to recognize the source signal with and without noise, so that classification can be carried out. The algorithm was applied successfully to chemical Sensor Array Units (SAU). Problem statement: Signals obtained from chemical … …American Journal of Engineering and Applied Sciences, Vol. 3, Issue 2 · 30 Jun 2010 · 7,835 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntelligent Sensor for Image Control Point of Eigenfaces for Face RecognitionMohamed Lamine Toure, Zou BeijiProblem statement: The sensor for image control point in Face Recognition (FR) is one of the most active research areas in computer vision and pattern recognition. Its practical application includes forensic identification, access control and human computer interface. The task of a FR system is to compare an input face image against a database containing a set of face samples … …Journal of Computer Science, Vol. 6, Issue 5 · 31 May 2010 · 6,974 accessesView PDFCite
Research ArticleOpen accessIn the abstractProsody Modification of Standard Arabic Speech Using Combining Synchronous Overlap and Add With Fixed-Synthesis Algorithm and Multi Level Discrete Wavelet TransformYkhlef Faycal, Bensebti Mesaoud, Bendaouia LotfiProblem statement: The objective of prosody modification is to change the amplitude, duration and pitch (F0) of speech segments without altering their spectral envelop. Applications are numerous, including, Text-To-Speech synthesis, transformation of voice characteristics and foreign language learning. Several approaches have been developed in the literature to achieve this goal. The main restrictions of these latter are in the modification … …Journal of Computer Science, Vol. 6, Issue 4 · 30 Apr 2010 · 6,836 accessesView PDFCite
Research ArticleOpen accessIn the abstractIndividual Species Crown Mapping in Taman Rimba Ilmu, University Malaya Using Airborne Hyperspectral ImagingKamaruzaman JusoffProblem statement: Accurate, current and cost-effective individual standing tree data are required by forest management communities for use in forest inventory over large areas. Currently, most of the forest mapping process is done directly on the ground using many technique such as the bearing-distance and also the other technique that use the computer software as a support, such as Tree … …American Journal of Applied Sciences, Vol. 7, Issue 4 · 30 Apr 2010 · 7,816 accessesView PDFCite
Research ArticleOpen accessIn the abstractImplementation of Multi-Centroid Moment Invariants in Thermal-Based Face Identification SystemKhairul Hamimah Abas, Osamu OnoProblem statement: Current paramount methods and approaches in face identification field rely on facial characteristics; such as location of eyes, length of nose and mouth, regardless the type of medium used to acquire the facial images. The visibility of these facial characteristics varies significantly with environmental factors (e.g., lighting elements). Various researches have been devoted to develop methodologies for addressing … …American Journal of Applied Sciences, Vol. 7, Issue 3 · 31 Mar 2010 · 7,163 accessesView PDFCite
Research ArticleOpen accessIn the abstractFeature Extraction for Characterization of Breast Lesions in Ultrasound Echography and ElastographyShirley Selvan, M. Kavitha, S. Shenbagadevi, S. SureshProblem statement: Elastography is developed as a quantitative approach to imaging linear elastic properties of tissues to detect suspicious tumors. We propose an automatic feature extraction method in ultrasound elastography and echography for characterization of breast lesions. Approach: The proposed algorithm was tested on 40 pairs of biopsy proven ultrasound elastography and echography images of which 11 are cystic, 16 … …Journal of Computer Science, Vol. 6, Issue 1 · 31 Jan 2010 · 8,315 accessesView PDFCite
Research ArticleOpen accessIn the abstractChange Detection Using Neural Network with Improvement Factor in Satellite ImagesM. A. Fkirin, S. M. Badwai, Sayed A. MohamedProblem statement: The aim of this study is to investigate the applicability of using the neural network techniques in change detection of remotely sensed data. Approach: In addition, the tuning parameters of the network, such as encoding the output classes, adding the momentum term and learning rate, are investigated in order to achieve best network performance. Results: Neural network-based change … …American Journal of Environmental Sciences, Vol. 5, Issue 6 · 31 Dec 2009 · 6,648 accessesView PDFCite
Research ArticleOpen accessIn the abstractIntrusion Preventing System using Intrusion Detection System Decision Tree Data MiningSyurahbil, Noraziah Ahmad, M. Fadly Zolkipli, Ahmed N. AbdallaProblem statement: To distinguish the activities of the network traffic that the intrusion and normal is very difficult and to need much time consuming. An analyst must review all the data that large and wide to find the sequence of intrusion on the network connection. Therefore, it needs a way that can detect network intrusion to reflect the current network … …American Journal of Engineering and Applied Sciences, Vol. 2, Issue 4 · 31 Dec 2009 · 7,337 accessesView PDFCite
Research ArticleOpen accessIn the abstractFacial Features for Template Matching Based Face RecognitionChai Tong Yuen, M. Rizon, Woo San San, Tan Ching SeongProblem statement: Template matching had been a conventional method for object detection especially facial features detection at the early stage of face recognition research. The appearance of moustache and beard had affected the performance of features detection and face recognition system since ages ago. Approach: The proposed algorithm aimed to reduce the effect of beard and moustache for facial features … …American Journal of Applied Sciences, Vol. 6, Issue 11 · 30 Nov 2009 · 9,375 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Parallel Maximal Cliques Algorithm for Protein Sequence ClusteringKhalid Jaber, Nur’Aini Abdul Rashid, Rosni AbdullahProblem statement: Protein sequence clustering is a method used to discover relations between proteins. This method groups the proteins based on their common features. It is a core process in protein sequence classification. Graph theory has been used in protein sequence clustering as a means of partitioning the data into groups, where each group constitutes a cluster. Mohseni-Zadeh introduced a … …American Journal of Applied Sciences, Vol. 6, Issue 7 · 31 Jul 2009 · 7,100 accessesView PDFCite