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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

A novel extreme learning fault diagnosis based supervision applied to mathematical formula contrastive analysis
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Research of multi-sided multi-granular neural network ensemble optimization method
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Two channel event-triggering communication schemes for networked control systems
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Global exponential stability of uncertain neural networks with discontinuous Lurie-type activation and mixed delays
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Support Vector Machines for decision support in electricity markets׳ strategic bidding
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Formation control using replicator–mutator dynamics for multiple mobile autonomous agents
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Kernelized sparse hashing for scalable image retrieval
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Projective nonnegative matrix factorization for social image retrieval
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Distributed mirror descent method for multi-agent optimization with delay
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Adaptive semi-supervised dimensionality reduction with sparse representation using pairwise constraints
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Optimization of control parameters based on genetic algorithms for spacecraft attitude tracking with input constraints
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Local statistics and non-local mean filter for speckle noise reduction in medical ultrasound image
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Breast cancer discriminant feature analysis for diagnosis via jointly sparse learning
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Image fusion with saliency map and interest points
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“Low-rank + dual” model based dimensionality reduction
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A hybrid evolutionary decomposition system for time series forecasting
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Temporal pattern identification using spike-timing dependent plasticity
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Decentralized adaptive coupling synchronization of fractional-order complex-variable dynamical networks
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Software reliability prediction via relevance vector regression
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Incorporating image priors with deep convolutional neural networks for image super-resolution
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Locally weighted linear regression for cross-lingual valence-arousal prediction of affective words
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Stacked deep polynomial network based representation learning for tumor classification with small ultrasound image dataset
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Discriminant structure embedding for image recognition
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Imitation and novelty in product development
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Integrating absolute distances in collaborative representation for robust image classification
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Evaluation of handwriting kinematics and pressure for differential diagnosis of Parkinson's disease
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A generalized Mitchell-Dem'yanov-Malozemov algorithm for one-class support vector machine
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Knowledge engineering for enterprise integration, interoperability and networking: Theory and applications
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Non-obvious correlations to disease management unraveled by Bayesian artificial intelligence analyses of CMS data
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Evaluation of local spatial–temporal features for cross-view action recognition
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Semi-supervised feature selection based on local discriminative information
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Distributed adaptive consensus tracking for a class of multi-agent systems via output feedback approach under switching topologies
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Analysis of the ionospheric time-varying effects on the radar echoes based on ionogram inversion
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Delay-partitioning approach to stability analysis of generalized neural networks with time-varying delay via new integral inequality
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Distributed consensus of multi-agent systems over general directed networks with limited bandwidth communication
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Neural network-based adaptive control for a class of chemical reactor systems with non-symmetric dead-zone
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A cooperative framework of learning automata and its application in tutorial-like system
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Feature extraction using maximum nonparametric margin projection
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Recognition of leaf image set based on manifold–manifold distance
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Regularized dynamic self-organized neural network inspired by the immune algorithm for financial time series prediction
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Position tracking control of switched reluctance motor with adaptive linear element based on current-sharing method
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Cooperative output regulation problem for linear time-delay multi-agent systems under switching network
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Learning a structure adaptive dictionary for sparse representation based classification
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Person-independent eye gaze prediction from eye images using patch-based features
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Constrained discriminant neighborhood embedding for high dimensional data feature extraction
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Research on data reconciliation based on generalized T distribution with historical data
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Locality-preserving low-rank representation for graph construction from nonlinear manifolds
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New and improved results for recurrent neural networks with interval time-varying delay
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A regularized least square based discriminative projections for feature extraction
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A novel attribute reduction algorithm based on rough set and improved artificial fish swarm algorithm
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Adaptive event-triggered communication scheme for networked control systems with randomly occurring nonlinearities and uncertainties
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Learning methodologies for wireless big data networks: A Markovian game-theoretic perspective
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Dynamic texture video classification using extreme learning machine
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Extreme learning machine based transfer learning for data classification
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Person re-identification via hypergraph-based matching
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A novel supervised approach to learning efficient kernel descriptors for high accuracy object recognition
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Incorporating visual adjectives for image classification
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Orthogonal Projective Sparse Coding for image representation
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A fuzzy adaptive control approach for nonlinear systems with unknown control gain sign
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Second-order consensus in directed networks of identical nonlinear dynamics via impulsive control
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H∞ control for networked control systems with time delay, data packet dropout and disorder
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Somatic mutation detection using ensemble of flexible neural tree model
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Image classification based on saliency coding with category-specific codebooks
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Dynamic aurora sequence recognition using Volume Local Directional Pattern with local and global features
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Capturing correlations of local features for image representation
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LOAD: Local orientation adaptive descriptor for texture and material classification
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Big traffic data processing framework for intelligent monitoring and recording systems
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From action to activity: Sensor-based activity recognition
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Face detection using representation learning
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Face identification with second-order pooling in single-layer networks
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Evaluation of a machine learning capability for a clinical decision support system to enhance antimicrobial stewardship programs
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Fuzzy observer-based output feedback control design of discrete-time nonlinear systems: An extended dimension approach
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Infrared and visible image fusion using total variation model
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A variable selection aided residual generator design approach for process control and monitoring
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Dissipativity-based filtering of nonlinear periodic Markovian jump systems: The discrete-time case
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A novel signal sparse decomposition based on modulation correlation partition
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Object localization using positive features
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SAR image target recognition via Complementary Spatial Pyramid Coding
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Resilient finite‐time stabilization of fuzzy stochastic systems with randomly occurring uncertainties and randomly occurring gain fluctuations
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Infinite-time stochastic linear quadratic optimal control for unknown discrete-time systems using adaptive dynamic programming approach
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Cooperative tracking for nonlinear multi-agent systems with hybrid time-delayed protocol
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Generalized topographic block model
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Global dissipativity of fractional-order neural networks with time delays and discontinuous activations
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Hierarchical Representation Learning based spatio-temporal data redundancy reduction
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Graph Regularized Sparsity Discriminant Analysis for face recognition
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Interventional consensus for high-order multi-agent systems with unknown disturbances on coopetition networks
Fulltext Access 9 Pages 2016
Adaptive control of rapidly time-varying discrete-time system using initial-training-free online extreme learning machine
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Unsupervised dictionary learning with Fisher discriminant for clustering
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Networked predictive control for nonlinear systems with stochastic disturbances in the presence of data losses
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Deep Neural Networks for wireless localization in indoor and outdoor environments
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Stereo matching based on classification of materials
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Fault detection for discrete-time Lipschitz nonlinear systems with signal-to-noise ratio constrained channels
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Untrained weighted classifier combination with embedded ensemble pruning
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Fuzzy adaptive state-feedback fault-tolerant control for switched stochastic nonlinear systems with faults
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A variational based smart segmentation model for speckled images
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An optimized nonlinear grey Bernoulli model and its applications
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Semi-supervised learning via mean field methods
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Two practical performance indexes for monitoring the Rhine–Meuse Delta water network via wavelet-based probability density function
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Novel results on robust finite-time passivity for discrete-time delayed neural networks
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An efficient mesh-based face beautifier on mobile devices
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