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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Cyclic maximization of non-Gaussianity for blind signal extraction of complex-valued sources
Fulltext Access 7 Pages 2011
Robust delay-dependent exponential stability for uncertain stochastic neural networks with mixed delays
Fulltext Access 7 Pages 2011
Stability analysis of stochastic fuzzy cellular neural networks with time-varying delays
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Learning sequences of sparse correlated patterns using small-world attractor neural networks: An application to traffic videos
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Modified locally linear discriminant embedding for plant leaf recognition
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Decentralized adaptive neural control of nonlinear interconnected large-scale systems with unknown time delays and input saturation
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The neural dynamics for hysteresis in visual perception
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Stability analysis of standard genetic regulatory networks with time-varying delays and stochastic perturbations
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Synchronization of complex switched networks with two types of delays
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A fast recursive algorithm based on fuzzy 2-partition entropy approach for threshold selection
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A comparative study of wavelet families for EEG signal classification
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Regularized locality preserving discriminant analysis for face recognition
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Robust wavelet network control for a class of autonomous vehicles to track environmental contour line
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Stability analysis of Takagi–Sugeno stochastic fuzzy Hopfield neural networks with discrete and distributed time varying delays
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Finite-time robust stochastic stability of uncertain stochastic delayed reaction–diffusion genetic regulatory networks
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Combine crossing matching scores with conventional matching scores for bimodal biometrics and face and palmprint recognition experiments
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Convergence analysis of a class of simplified background neural networks with two subnetworks
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Gaussian kernel optimization: Complex problem and a simple solution
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A computational model for signaling pathways in bounded small-world networks corresponding to brain size
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Adaptive neural control for uncertain systems subject to actuator failure
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The use of hybrid manifold learning and support vector machines in the prediction of business failure
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Forecasting time series using a methodology based on autoregressive integrated moving average and genetic programming
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A case-based classifier for hypertension detection
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A vague-rough set approach for uncertain knowledge acquisition
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Construction of concept granule based on rough set and representation of knowledge-based complex system
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Feature level analysis for 3D facial expression recognition
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Computing minimal associated primes in polynomial rings over the integers
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Training RBF network to tolerate single node fault
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Synchronization and synchronized periodic solution in a simplified five-neuron BAM neural network with delays
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Automatic image segmentation based on PCNN with adaptive threshold time constant
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Kernel-view based discriminant approach for embedded feature extraction in high-dimensional space
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Neighborhood preserving regression for image retrieval
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Divergence-based classification in learning vector quantization
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Exploiting local structure in Boltzmann machines
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Hopfield networks for identification of delay differential equations with an application to dengue fever epidemics in Cuba
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SELM: Semi-supervised ELM with application in sparse calibrated location estimation
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Mixture control chart patterns recognition using independent component analysis and support vector machine
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Stability of stochastic Markovian jump neural networks with mode-dependent delays
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Reasoning with part–part relations in a description logic
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Generalized nonlinear discriminant analysis and its small sample size problems
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Global exponential synchronization of fuzzy cellular neural networks with delays and reaction–diffusion terms
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Global exponential stability in Lagrange sense for periodic neural networks with various activation functions
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Synchronization for general complex dynamical networks with sampled-data
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Non-uniform multiple kernel learning with cluster-based gating functions
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A block-based model for monitoring of human activity
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A historical perspective of algorithmic lateral inhibition and accumulative computation in computer vision
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Exponential synchronization of Cohen–Grossberg neural networks via periodically intermittent control
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Online multiple instance boosting for object detection
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VSImG: A high frame rate bitmap based display system for neuroscience research
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Adaptive fuzzy backstepping output feedback control of nonlinear uncertain systems with unknown virtual control coefficients using MT-filters
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Machine learning approach for automated visual inspection of machine components
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Latent class model based diagnostic system utilizing traditional Chinese medicine for patients with systemic lupus erythematosus
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A new approach for solving fuzzy critical path problem using analysis of events
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Driving and control of torque for direct-wheel-driven electric vehicle with motors in serial
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Worst-case VaR and robust portfolio optimization with interval random uncertainty set
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Pricing currency options with support vector regression and stochastic volatility model with jumps
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An empirical study of the relationships among employee’s perceptions of HR practice, human capital, and department performance: A case of AT & T Subordinate telecoms company in Taiwan
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Comparing performances of backpropagation and genetic algorithms in the data classification
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Use of center of gravity with the common vector approach in isolated word recognition
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Reliability optimization of a series system with multiple-choice and budget constraints using an efficient ant colony approach
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A fuzzy AHP-DEA approach for multiple criteria ABC inventory classification
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A new architecture selection method based on tabu search for artificial neural networks
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A context-aware adaptive learning system using agents
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The effects of innovation alliance on network structure and density of cluster
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Personalized long-term ECG classification: A systematic approach
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Falling sheet envelope method for non-destructive testing time-dependent signals
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Considerations for the use of commercial video games in controlled experiments
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Analysis of revisitations in online games
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New methods of analysis of narrative and semantics in support of interactivity
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Petroleum well drilling monitoring through cutting image analysis and artificial intelligence techniques
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Revealing digital fakery using multiresolution decomposition and higher order statistics
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α-Lockα-Lock resolution method for a lattice-valued first-order logic
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Determining optimal sensor locations in freeway using genetic algorithm-based optimization
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Efficient forest fire occurrence prediction for developing countries using two weather parameters
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Consensus self-organized models for fault detection (COSMO)
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On the topological structure of spaces of fuzzy compacta
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Ontology-based information content computation
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A rough set approach to feature selection based on power set tree
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Knowledge reduction in decision formal contexts
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NB+: An improved Naïve Bayesian algorithm
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A hybrid particle swarm optimization approach for clustering and classification of datasets
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Interestingness measures for association rules based on statistical validity
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A dynamic attribute reduction algorithm based on 0-1 integer programming
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Improving collaborative filtering recommender system results and performance using genetic algorithms
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Domain phrase identification using atomic word formation in Chinese text
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A discrete consensus support model for multiple attribute group decision making
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Cylindrical decomposition for systems transcendental in the first variable
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Fixed points in weak non-Archimedean fuzzy metric spaces
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Wavelet entropy and neural network for text-independent speaker identification
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An efficient Expert System — WPSC and implementation
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A new intelligent system for senior executives to maintain remote control of their company
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Toward a unified knowledge management model for SMEs
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Multilingual novelty detection
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A DEA-inspired procedure for the aggregation of preferences
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Optimizing time limits for maximum sales response in Internet shopping promotions
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Artificial neural network based approach for dynamic parameter design
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A hybrid algorithm for vehicle routing problem with time windows
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A decision-making module for aiding ship system automation design: A knowledge-based approach
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Hybrid model based on wavelet support vector machine and modified genetic algorithm penalizing Gaussian noises for power load forecasts
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A hybrid framework to extract bilingual multiword expression from free text
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