Sign inSubmit
Tips: “quotes” for a phrase · author:Lee · a DOI goes straight to its article

179 results for “multi class”
Set a search alert
Research ArticleOpen accessIn the abstractApplication of MultiScale Hidden Markov Modeling Wavelet Coefficients to fMRI Activation DetectionFangyuan Nan, Yaonan Wang, Xiaoping MaProblem Statement: The problem of detection of functional magnetic resonance images (fMRIs), that is, to decide active and nonactive regions of human brain from fMRIs is studied in this paper. fMRI research is finding and will find more and more applications in diagnosing and treating brain diseases like depression and schizophrenia. At its initial stage fMRI detection are pixel-wise methods, … …Journal of Mathematics and Statistics, Vol. 4, Issue 4 · 31 Dec 2008 · 7,546 accessesView PDFCite
Research ArticleOpen accessIn the abstractThe Effect of a 4th Generation-Cephalosporin Introduction upon the Incidence of Multidrug-Resistant Gram-Negative Bacteria in a Non-Teaching HospitalGuilherme Henrique Campos Furtado, Luciana Baria Perdiz, Eduardo Alexandrino Servolo MedeirosProblem statement: Antimicrobial resistance is a worrisome situation in hospitals around the world and the misuse of certain classes of antimicrobials has contributed for this situation. Approach: We performed a prospective surveillance study on the incidence of multi-drug resistant bacteria before (phase 1) and after (phase 2) the introduction of a 4th-generation cephalosporin in a non-teaching hospital. Results: There was … …American Journal of Infectious Diseases, Vol. 4, Issue 4 · 31 Dec 2008 · 6,876 accessesView PDFCite
Research ArticleOpen accessIn the abstractPower Enhancement of Weightlifters during Snatch through Reducing Torque on Joints by Particle Swarm OptimizationFirooz Salaami, Nima Jamshidi, Mostafa Rostami, Siamak NajarianIn this research, an athlete's body on sagittal plane in tension phase of snatch weightlifting has been modeled in two dimensions for calculating the generated torques in joints. The error back propagation multi-layer perceptrons has been used for modeling the torque through changing the angular velocity, angular acceleration and absolute angle of each segment. Finally, the torque in joints has … …American Journal of Applied Sciences, Vol. 5, Issue 12 · 31 Dec 2008 · 7,101 accessesView PDFCite
Research ArticleOpen accessIn the abstractSpatial-Temporal Yield Trend of Oil Palm as Influenced by Nitrogen Fertilizer ManagementAbdul Rahim Anuar, Kah Joh Goh, Tee Bee Heoh, Osumanu Haruna AhmedOne of the major challenges in oil palm (Elaeis guineensis Jacq.) plantations today is proper interpretation of yield maps for site-specific management and identification and understanding of the causal factors influencing the variability of oil palm yields. A study was conducted to examine the structural yield variation in order to assess the spatial and temporal yield trends so as to … …American Journal of Applied Sciences, Vol. 5, Issue 10 · 31 Oct 2008 · 7,549 accessesView PDFCite
Research ArticleOpen accessIn the abstractOptimal Decentralized Load Frequency Control Using HPSO Algorithms in Deregulated Power SystemsSeyed Abbas Taher, Reza Hematti, Ali Abdolalipour, Seyed Hadi TabeiLoad Frequency Control (LFC) is one the most important issues in electrical power system design/operation and is becoming much more significant recently with increasing size, changing structure and complexity in interconnected power systems. In practice LFC systems use simple Proportional-Integral (PI) or Integral (I) controllers. However, since the PI or I control parameters are usually tuned based on classical or … …American Journal of Applied Sciences, Vol. 5, Issue 9 · 30 Sep 2008 · 7,389 accessesView PDFCite
Research ArticleOpen accessIn the abstractEffect of Hidden Layer Neurons on the Classification of Optical Character Recognition Typed Arabic NumeralsNidal F. Shilbayeh, Mahmoud Z. IskandaraniProblem statement: The effect of varying the number of nodes in the hidden layer and number of iterations are important factors in the recognition rate. In this paper, a novel and effective criterion based on Cross Pruning (CP) algorithm is proposed to optimize number of hidden neurons and number of iterations in Multi Layer Perceptron (MLP) neural based recognition system. … …Journal of Computer Science, Vol. 4, Issue 7 · 31 Jul 2008 · 7,556 accessesView PDFCite
Research ArticleOpen accessIn the abstractVulnerability Assessment of Power System Using Radial Basis Function Neural Network and a New Feature Extraction MethodAhmed M.A. Haidar, Azah Mohamed, Aini HussainVulnerability assessment in power systems is important so as to determine how vulnerable a power system in case of any unforeseen catastrophic events. This paper presents the application of Radial Basis Function Neural Network (RBFNN) for vulnerability assessment of power system incorporating a new proposed feature extraction method named as the Neural Network Weight Extraction (NNWE) for dimensionality reduction of … …American Journal of Applied Sciences, Vol. 5, Issue 6 · 30 Jun 2008 · 7,153 accessesView PDFCite
Research ArticleOpen accessIn the abstractSustainable Housing RenewalM. Sitar, K. KrajncFollowing the already proved models the sustainable planning culture is endangering several methods directed towards the needs of tenants in the existing post-war housing stock. The case-study of our project is the renewal of the multi stored building in the housing estate Metalna, Maribor/Tezno (1949). It is based on the sustainable renovation principle for the quality of sustainable housing in … …American Journal of Applied Sciences, Vol. 5, Issue 1 · 31 Jan 2008 · 7,249 accessesView PDFCite
Research ArticleOpen accessIn the abstractFunctional Link Artificial Neural Network for Classification Task in Data MiningB. B. Misra, S. DehuriIn solving classification task of data mining, the traditional algorithm such as multi-layer perceptron takes longer time to optimize the weight vectors. At the same time, the complexity of the network increases as the number of layers increases. In this study, we have used Functional Link Artificial Neural Networks (FLANN) for the task of classification. In contrast to multiple layer … …Journal of Computer Science, Vol. 3, Issue 12 · 31 Dec 2007 · 60,797 accessesView PDFCite
Research ArticleOpen accessIn the abstractA Biomechanical Composite Model to Determine Effective Elastic Moduli of the CNS Gray MatterMehdi Khoshgoftar, Siamak Najarian, Farhad Farmanzad et al.Brain tissue is a heterogeneous material with complicated microstructural features. Models based on microstructure can lead to more accurate and physically realistic predictions of mechanical characteristics of brain tissue. A two-step Mori-Tanaka/Voigt homogenization procedure is implemented into a 3D microstructurally-based multi-phase composite model, composed of randomly-oriented elastic axons, dendrites and neuronal cell bodies surrounded by an elastic matrix. The effects … …American Journal of Applied Sciences, Vol. 4, Issue 11 · 30 Nov 2007 · 7,775 accessesView PDFCite