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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Incremental online sparsification for model learning in real-time robot control
Fulltext Access 9 Pages 2011
Mode estimation in high-dimensional spaces with flat-top kernels: Application to image denoising
Fulltext Access 9 Pages 2011
Sparse kernel spectral clustering models for large-scale data analysis
Fulltext Access 9 Pages 2011
A combined measure for quantifying and qualifying the topology preservation of growing self-organizing maps
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Global and local modelling in RBF networks
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Stable indirect adaptive neural controller for a class of nonlinear system
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Predicting the probability of ice storm damages to electricity transmission facilities based on ELM and Copula function
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A parallel incremental extreme SVM classifier
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Application of error minimized extreme learning machine for simultaneous learning of a function and its derivatives
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MELM-GRBF: A modified version of the extreme learning machine for generalized radial basis function neural networks
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TROP-ELM: A double-regularized ELM using LARS and Tikhonov regularization
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SOM time series clustering and prediction with recurrent neural networks
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Modelling vocabulary acquisition, adaptation and generalization in infants using adaptive Bayesian PLSA
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The complex local mean decomposition
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A robust incremental learning method for non-stationary environments
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Self-organizing adaptive fuzzy neural control for the synchronization of uncertain chaotic systems with random-varying parameters
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Physical activity recognition based on motion in images acquired by a wearable camera
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Arbitrary ROI-based wavelet video coding
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Sparse two-dimensional local discriminant projections for feature extraction
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Non-goal scene analysis for soccer video
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ART-type CMAC network classifier
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Statistical approaches to combining binary classifiers for multi-class classification
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An application of the self-organizing map in the non-Euclidean Traveling Salesman Problem
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Robust high performance reinforcement learning through weighted k-nearest neighbors
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Toward local and global perception modules for vision substitution
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Spot-welding sequence planning and optimization using a hybrid rule-based approach and genetic algorithm
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Design and analysis of an fMRI compatible haptic robot
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Dynamics of the 6-6 Stewart parallel manipulator
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Safe human–robot interaction based on dynamic sphere-swept line bounding volumes
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Fault detection on robot manipulators using artificial neural networks
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Learning IF–THEN priority rules for dynamic job shops using genetic algorithms
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Optimization of a robotized cell with redundant architecture
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Optimal design of a 3-PUPU parallel robot with compliant hinges for micromanipulation in a cubic workspace
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Collision-free motion planning and scheduling
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Evaluating a new communication protocol for real-time distributed control
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Neural control strategy of constant cutting force system in end milling
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Feed-axis gearbox condition monitoring using built-in position sensors and EEMD method
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Cost minimization through optimized raw material quality composition
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Sparse kernel density estimations and its application in variable selection based on quadratic Renyi entropy
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A synergy of multi-objective optimization and data mining for the analysis of a flexible flow shop
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Efficient force distribution and leg posture for a bio-inspired spider robot
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Air vortex ring communication between mobile robots
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Amortized constant time state estimation in Pose SLAM and hierarchical SLAM using a mixed Kalman-information filter
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Plant detection and mapping for agricultural robots using a 3D LIDAR sensor
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Piecewise constant model predictive control for autonomous helicopters
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Robot formation motion planning using Fast Marching
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The mono-wheel robot with dynamic stabilisation
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Industrial robot selection using a novel decision making method considering objective and subjective preferences
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Interactions between two neural populations: A mechanism of chaos and oscillation in neural mass model
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Less conservative results of state estimation for delayed neural networks with fewer LMI variables
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Security analysis of the public key algorithm based on Chebyshev polynomials over the integer ring ZN
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Robust decentralized load frequency control of interconnected power system with Generation Rate Constraint using Type-2 fuzzy approach
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Optimal reactive power dispatch based on harmony search algorithm
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Sequential Lagrangian-MILP approaches for Unit Commitment problems
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Improvement of transient stability of power systems with STATCOM-controller using trajectory sensitivity
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Augmented Lagrange Hopfield network based Lagrangian relaxation for unit commitment
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Fault section estimation in power system using Hebb’s rule and continuous genetic algorithm
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The optimal automation level of medium voltage distribution networks
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A novel excitation controller to damp subsynchronous oscillations
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Study of a new method for power system transients classification based on wavelet entropy and neural network
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Reliability and availability modelling of combined heat and power (CHP) systems
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Topology vs generalized rough sets
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J.-H. Lambert’s theory of probable syllogisms
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Automatic generation control application with craziness based particle swarm optimization in a thermal power system
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On averaging operators for Atanassov’s intuitionistic fuzzy sets
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On possible and necessary inclusion of intuitionistic fuzzy sets
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DNA sequence comparison by a novel probabilistic method
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Minimal-dot plot: “Old tale in new skin” about sequence comparison
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New code equivalence based on relative generalized Hamming weights
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A kind of conditional vertex connectivity of Cayley graphs generated by 2-trees
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Time-series forecasting using a system of ordinary differential equations
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Cyclic codes over R = Fp + uFp +⋯+ uk−1Fp with length psn
Fulltext Access 9 Pages 2011
An efficient key assignment scheme for access control in a large leaf class hierarchy
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A linear programming approximation to the eigenvector method in the analytic hierarchy process
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Notes on “some single-machine scheduling problems with general position-dependent and time-dependent learning effects”
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Two dimensional principal components of natural images and its application
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Lag stochastic synchronization of chaotic mixed time-delayed neural networks with uncertain parameters or perturbations
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Deterministic convergence of conjugate gradient method for feedforward neural networks
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Exponential locality preserving projections for small sample size problem
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Combining visual attention model with multi-instance learning for tag ranking
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Three-parameter sequential minimal optimization for support vector machines
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Synchronization of multiple chaotic FitzHugh–Nagumo neurons with gap junctions under external electrical stimulation
Fulltext Access 9 Pages 2011
Visual tracking via dynamic tensor analysis with mean update
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Robust exponential stability of uncertain impulsive neural networks with time-varying delays and delayed impulses
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Efficient hardware architecture based on generalized Hebbian algorithm for texture classification
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Global exponential stability of neural networks with discrete and distributed delays and general activation functions on time scales
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Kernel Self-optimized Locality Preserving Discriminant Analysis for feature extraction and recognition
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Representation of neural networks through their multi-linearization
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Special issue on interpretable fuzzy systems
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Two-stage nonparametric kernel leaning: From label propagation to kernel propagation
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Nonlinear enhancement of noisy speech, using continuous attractor dynamics formed in recurrent neural networks
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Self-calming of a random network of dendritic neurons
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Recent advances and trends in visual tracking: A review
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A novel adaptive flicker measurement technique
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A novel approach to determine transmission reliability margin using parametric bootstrap technique
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A new algorithm for analysis of SVC’s impact on bifurcations, chaos and voltage collapse in power systems
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The decomposition and computation method for distributed optimal power flow based on message passing interface (MPI)
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New control approach for capacitor supported DSTATCOM in three-phase four wire distribution system under non-ideal supply voltage conditions based on synchronous reference frame theory
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Performance evaluation of power system stabilizers based on Population-Based Incremental Learning (PBIL) algorithm
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Unit Commitment by improved pre-prepared power demand table and Muller method
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