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105 articles for “Overall Accuracy”
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Research ArticleOpen accessIn the abstractIterative Channel Estimation Algorithm in Multiple Input Multiple Output Orthogonal Frequency Division Multiplexing SystemsMona Nasseri, Hamidreza BakhshiProblem statement: The objective of this study is improving channel estimation accuracy in MIMO-OFDM system because channel state information is required for signal detection at receiver and its accuracy affects the overall performance of system and it is essential to improve the channel estimation for more reliable communications. MIMO-OFDM system was chosen in this study because it has been widely … …Journal of Computer Science, Vol. 6, Issue 2 · 28 Feb 2010 · 8,303 accessesView PDFCite
Research ArticleOpen accessIn the abstractBoosting Kernel Discriminative Common Vectors for Face RecognitionC. Lakshmi, M. PonnavaikkoProblem statement: Kernel discriminative common vector (KDCV) was one of the most effective non-linear techniques for feature extraction from high dimensional data including images and text data. Approach: This study presented a new algorithm called Boosting Kernel Discriminative Common Vector (BKDCV) to further improve the overall performance of KDCV by integrating the boosting and KDCV techniques. Results: In BKDCV, the … …Journal of Computer Science, Vol. 5, Issue 11 · 30 Nov 2009 · 6,579 accessesView PDFCite
Research ArticleOpen accessIn the abstractMultimodal Face and Ear ImagesA.A. Darwish, R. Abd Elghafar, A. Fawzi AliProblem statement: The study presented in this study to combined face and ear algorithms as an application of human identification. Biometric system to the detection and identification of human faces and ears developed a multimodal biometric system using eigenfaces and eigenears. Approach: The proposed system used the extracted face and ear images to develop the respective feature spaces via the … …Journal of Computer Science, Vol. 5, Issue 5 · 30 May 2009 · 7,230 accessesView PDFCite
Research ArticleOpen accessIn the abstractImprovement of Nuclear Track Density Measurements Using Image Processing TechniquesA. Mostofizadeh, X. Sun, M. R. KardanThe well known edge detection methods were applied to evaluate accuracy and precision of nuclear track densitometry of polycarbonate detector. All measurements carried out in two cases of before and after improvement of track images. Considering the overlapping phenomenon -including double and triple tracks- experimental and statistical results showed that not only each particular edge detection method affects the accuracy … …American Journal of Applied Sciences, Vol. 5, Issue 2 · 28 Feb 2008 · 7,431 accessesView PDFCite
Research ArticleOpen accessIn the abstractResearch Note: Predicting MRSA Colonization of the Hospitalized Patient on AdmissionRocco J. Perla, Gail E. Cormier, Eric L. Knutson et al.The primary aim of this brief and exploratory study was to examine the ability of two Infection Control Practitioners in a medium size community hospital to effectively predict the MRSA colonization status of patients on admission compared to a standard MRSA screen in real time using only their clinical judgment and review of selected hospital documents. Sensitivity and specificity results … …American Journal of Infectious Diseases, Vol. 3, Issue 1 · 31 Mar 2007 · 7,318 accessesView PDFCite
Research ArticleOpen accessIn the abstractUltimate Prediction of Stock Market Price MovementRebwar M. Nabi, Soran Ab. M. Saeed, Habibolah Bin Harron, Hamido FujitaInvestment in the stock market is currently very popular due to its economic gain. Numerous researchers’ and academicians’ work is focused on financial time series prediction due to its data availability and profitability. Therefore, this study presents the design and implementation of a novel binary classification framework to predict stock market trends. The framework is composed of data preprocessing, feature … …Journal of Computer Science, Vol. 15, Issue 12 · 25 Dec 2019 · 8,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractMonitoring Land Use and Land Cover Effects on Water Quality in Cheung Ek Lake using ASTER ImagesNara Im, Kensuke Kawamura, Endan Suwandana, Yuji SakunoCheung Ek Lake is the biggest natural treatment plant for nearly 80% of wastewater and storm-water from Phnom Penh city. Land Use and Land Cover (LULC) changes of the lake and its catchment area could deteriorate capacity of the lake in purifying wastewater and affect to its water quality. The study aims to assess the relationship between LULC changes and … …American Journal of Environmental Sciences, Vol. 11, Issue 1 · 3 Apr 2015 · 8,017 accessesView PDFCite
Research ArticleOpen accessIn the abstractPERFORMANCE ANALYSIS OF BRAIN TUMOR DIAGNOSIS BASED ON SOFT COMPUTING TECHNIQUESP. Shantha Kumar, P. Ganesh KumarComputed tomography images are widely used in the diagnosis of brain tumor because of its faster processing, avoiding malfunctions and suitability with physician and radiologist. This study proposes a new approach to automated detection of brain tumor. This proposed work consists of various stages in their diagnosis processing such as preprocessing, anisotropic diffusion, feature extraction and classification. The local binary … …American Journal of Applied Sciences, Vol. 11, Issue 2 · 27 Dec 2013 · 6,989 accessesView PDFCite
Research ArticleOpen accessIn the abstractEgronomic Fingerprint Scanner Design for People with Motor Neuron DiseasesAbdulkareem Al-Alwani, Majdi BeseisoFingerprint devices have evolved with time for authentication and identification purposes. It is used in generic security and social applications where identification and logging is required when entering that premises. In some circumstances the lag time increases due to increase in human entrees such as at immigration points, airports, random security checkups, attendance loggers. The increase in overall time due … …American Journal of Applied Sciences, Vol. 10, Issue 12 · 28 Oct 2013 · 6,484 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Spatial Distribution of Apis Dorsata Host Plants Using an Integrated Geographical Information System-Remote Sensing ApproachIzzat F. Ibrahim, Siva K. Balasundram, Nur-Ashikin P. Abdullah et al.Apis dorsata is one of the important honeybee species in tropical and subtropical regions that forages on various plants including herbs, grasses, forest trees and plantation trees. However, information on the spatial distribution of various pollen sources of Apis dorsata is still lacking. This study aimed at mapping the spatial distribution of the major honeybee plants that serve as pollen … …American Journal of Agricultural and Biological Sciences, Vol. 7, Issue 4 · 20 Sep 2012 · 8,586 accessesView PDFCite