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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Sampled-data state estimation for complex dynamical networks with time-varying delay and stochastic sampling
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Robust recognition of face with partial variations using local features and statistical learning
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Graphical lasso quadratic discriminant function and its application to character recognition
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A theoretical framework for supervised learning from regions
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Design and analysis of associative memories based on external inputs of delayed recurrent neural networks
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Fuzzy model-based predictive control of dissolved oxygen in activated sludge processes
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Group sparse reconstruction for image segmentation
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Analog feedback in Euglena-based neural network computing – Enhancing solution-search capability through reaction threshold diversity among cells
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Perceptual grouping through competition in coupled oscillator networks
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A study on residence error of training an extreme learning machine and its application to evolutionary algorithms
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Probabilistic speech feature extraction with context-sensitive Bottleneck neural networks
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A new online data imputation method based on general regression auto associative neural network
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A motion detection model inspired by hippocampal function and its applications to obstacle detection
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Learning to predict eye fixations for semantic contents using multi-layer sparse network
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Robust decomposition with guaranteed robustness for cellular neural networks implementing an arbitrary Boolean function
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Parameter estimation of the exponentially damped sinusoids signal using a specific neural network
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Non-parallel support vector classifiers with different loss functions
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The onset and closure of critical period plasticity regulated by feedforward inhibition
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Extreme learning machine for ranking: Generalization analysis and applications
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Impulsive exponential synchronization of randomly coupled neural networks with Markovian jumping and mixed model-dependent time delays
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Logarithmic learning for generalized classifier neural network
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Unsupervised learnable neuron model with nonlinear interaction on dendrites
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Simple randomized algorithms for online learning with kernels
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Perception of own and robot engagement in human–robot interactions and their dependence on robotics knowledge
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A dynamic priority based path planning for cooperation of multiple mobile robots in formation forming
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An entropy-based neighbor selection approach for collaborative filtering
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Enriching semantic knowledge bases for opinion mining in big data applications
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Predictivity of system delays shortens human response time
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Helical surface creation by wire electrical discharge machining for micro tools
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Structural synthesis for a lower-mobility parallel kinematic machine with swivel hinges
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A method for transformation of engineering bill of materials to maintenance bill of materials
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Finite-time tracking control for robot manipulators with actuator saturation
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A bio-inspired multi degree of freedom actuator based on a novel cylindrical ionic polymer–metal composite material
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Impact reduction mobile robot and the design of the compliant legs
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Lattice representations of interval-valued fuzzy sets
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Active learning on manifolds
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Feature-based motion compensated interpolation for frame rate up-conversion
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Boundary detection and sample reduction for one-class Support Vector Machines
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Neural-network-based output-feedback adaptive dynamic surface control for a class of stochastic nonlinear time-delay systems with unknown control directions
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Improved delay-dependent stability criteria for recurrent neural networks with time-varying delays
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Recurrent networks for compressive sampling
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Sparse semi-supervised learning on low-rank kernel
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Finite-time boundedness of state estimation for neural networks with time-varying delays
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Output feedback control for interconnected time-delay systems with prescribed performance
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Saliency detection based on integrated features
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Application of binary group search optimization to distribution network reconfiguration
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Nonsmooth finite-time stabilization of neural networks with discontinuous activations
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A seasonal discrete grey forecasting model for fashion retailing
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Consensus measures constructed from aggregation functions and fuzzy implications
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Detecting potential labeling errors for bioinformatics by multiple voting
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Bulk indices for transmission grids flexibility assessment in electricity market: A real application
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Bayesian estimation of overhead lines failure rate in electrical distribution systems
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Transfer characteristics of electric-power lines passing through urban and suburban areas
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Evaluation economic and reliability issues for an autonomous independent network of distributed energy resources
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Identifying torsional modal parameters of large turbine generators based on the supplementary-excitation-signal-injection test
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Using the rough set theory to detect fraud committed by electricity customers
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Optimal location and sizing of Distribution Static Synchronous Series Compensator using Particle Swarm Optimization
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Multi-dimensional customer segmentation model for power system reliability-worth analysis
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A novel hybrid intelligent approach for contractor default status prediction
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Real time probabilistic power system state estimation
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A mixed-integer quadratically-constrained programming model for the distribution system expansion planning
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Optimal capacitor placement in radial distribution systems using clustering based optimization
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Multi-objective reactive power optimization strategy for distribution system with penetration of distributed generation
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Active harmonic current compensation to enhance power quality
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Instantaneous power spectrum analysis for broken bar fault detection in inverter-fed six-phase squirrel cage induction motor
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Analysis and design of a secure key exchange scheme
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Observables on quantum structures
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Two new characterizations of universal integrals on the scale [0,1][0,1]
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On delegatability of designated verifier signature schemes
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Using concept lattice theory to obtain the set of solutions of multi-adjoint relation equations
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Fuzzy t-filters and their properties
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Stable locality sensitive discriminant analysis for image recognition
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A novel feature selection method for twin support vector machine
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Feature selection and multi-kernel learning for sparse representation on a manifold
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Lexicographic max–min approach for an integrated vendor-managed inventory problem
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An ensemble-based system for automatic screening of diabetic retinopathy
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Growing Neural Gas approach for obtaining homogeneous maps by restricting the insertion of new nodes
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Building granular fuzzy decision support systems
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Finite time convergent learning law for continuous neural networks
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A model for the receptive field of retinal ganglion cells
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Incorporating conditional random fields and active learning to improve sentiment identification
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Video anomaly detection based on a hierarchical activity discovery within spatio-temporal contexts
Fulltext Access 9 Pages 2014
A real-time optimal generation cost control method for virtual power plant
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Assist-as-needed robotic trainer based on reinforcement learning and its application to dart-throwing
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A global coupling index of multivariate neural series with application to the evaluation of mild cognitive impairment
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Semi-supervised classification via kernel low-rank representation graph
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Using non-lexical features for identifying factual and opinionative threads in online forums
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A new decision-making method by incomplete preferences based on evidence distance
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New criterion of asymptotic stability for delay systems with time-varying structures and delays
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A genetic algorithm-based virtual sample generation technique to improve small data set learning
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A multi-label, semi-supervised classification approach applied to personality prediction in social media
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Affective topic model for social emotion detection
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Projective synchronization for fractional neural networks
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Adaptive training set reduction for nearest neighbor classification
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Novel stability criteria for recurrent neural networks with time-varying delay
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Large-scale linear nonparallel support vector machine solver
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Neural network for solving convex quadratic bilevel programming problems
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A new switching design to finite-time stabilization of nonlinear systems with applications to neural networks
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Semi-supervised information-maximization clustering
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Detecting cells using non-negative matrix factorization on calcium imaging data
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