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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

A unified semi-supervised dimensionality reduction framework for manifold learning
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Editorial Board
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A mode-dependent stability criterion for delayed discrete-time stochastic neural networks with Markovian jumping parameters
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Delay-dependent passivity criterion for discrete-time delayed standard neural network model
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Kernel-based metric learning for semi-supervised clustering
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Asymptotic tracking control scheme for mechanical systems with external disturbances and friction
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Transformations in variational Bayesian factor analysis to speed up learning
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Semi-supervised Gaussian process latent variable model with pairwise constraints
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Quotient vs. difference: Comparison between the two discriminant criteria
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Model-based subspace clustering of non-Gaussian data
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Supervised learning of local projection kernels
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Study and evaluation of a multi-class SVM classifier using diminishing learning technique
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Co-training with relevant random subspaces
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Brain-coupled interaction for semi-autonomous navigation of an assistive robot
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Incremental learning of LDA model for Chinese writer adaptation
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A new kernelization framework for Mahalanobis distance learning algorithms
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A solution to the Path Planning problem using angle preprocessing
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Properties of the transmission of pulse sequences in a bistable chain of unidirectionally coupled neurons
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Edited AdaBoost by weighted kNN
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An efficient multi-objective learning algorithm for RBF neural network
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Ordinal extreme learning machine
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V-Proportion: A method based on the Voronoi diagram to study spatial relations in neuronal mosaics of the retina
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Observer-based fuzzy adaptive robust control of nonlinear systems with time delays and unmodeled dynamics
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Techniques for power reduction in an SIMD implementation of the VQ/SOM algorithms
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Permanent oscillations in a 3-node recurrent neural network model
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The general architecture of adaptive robotic systems for manufacturing applications
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Bounding the radii of balls meeting every connected component of semi-algebraic sets
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Development of universal environment for constructing 5-axis virtual machine tool based on modified D–H notation and OpenGL
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A novel AR-based robot programming and path planning methodology
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On-line monitoring of boring tools for control of boring operations
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A hybrid approach for dynamic routing planning in an automated assembly shop
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The Information Fusion JDL-U model as a reference model for Virtual Manufacturing
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3D path planning for a biomass processing robot via motion simulation
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A study on three-dimensional vision system for machining setup verification
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Regulation and control of LARM Hand III
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Design optimization of a spatial six degree-of-freedom parallel manipulator based on artificial intelligence approaches
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An efficient data exchange scheme for semiconductor engineering chain management system
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Low cost integration of additive and subtractive processes for hybrid layered manufacturing
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Support vector machine optimal control for mobile wheeled inverted pendulums with unmodelled dynamics
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Methodology for capturing and formalizing DFM Knowledge
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Conceptual process planning – an improvement approach using QFD, FMEA, and ABC methods
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Application of position and inertial-rate control to a 2-DOF gyroscopic platform
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Formation path following control of unicycle-type mobile robots
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Sensing and gait planning of quadruped walking and climbing robot for traversing in complex environment
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Energy constrained multi-robot sensor-based coverage path planning using capacitated arc routing approach
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A local obstacle avoidance method for mobile robots in partially known environment
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Target tracking for mobile robot platforms via object matching and background anti-matching
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Simultaneous learning of perception and action in mobile robots
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Open-ended evolution as a means to self-organize heterogeneous multi-robot systems in real time
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Communicating emotions and mental states to robots in a real time parallel framework using Laban movement analysis
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A risk based contingency analysis method incorporating load and generation characteristics
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Multineuronal vectorization is more efficient than time-segmental vectorization for information extraction from neuronal activities in the inferior temporal cortex
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Organizational forms for knowledge management in photovoltaic solar energy industry
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HMM and fuzzy logic: A hybrid approach for online Urdu script-based languages’ character recognition
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Scenario analysis using Bayesian networks: A case study in energy sector
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Text clustering using frequent itemsets
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Cost-sensitive classification with respect to waiting cost
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Mining associative classification rules with stock trading data – A GA-based method
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Developer-friendly verification of process-based systems
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On the De Boer–Pellikaan method for computing minimum distance
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Cultural differences, experience with social networks and the nature of “true commitment” in Facebook
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Control of hybrid fuel cell/energy storage distributed generation system against voltage sag
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Ant colony optimisation for economic dispatch problem with non-smooth cost functions
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Using social information to guide action: Infants’ locomotion over slippery slopes
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System modelling and online optimal management of MicroGrid using Mesh Adaptive Direct Search
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A leader–followers model of transmission augmentation for considering strategic behaviours of generating companies in energy markets
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New decision-making techniques and their application in the selection of financial products
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Reusing ontology mappings for query routing in semantic peer-to-peer environment
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A swarm intelligence approach to the quadratic minimum spanning tree problem
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On the global avalanche characteristics between two Boolean functions and the higher order nonlinearity
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One-time encryption-key technique for the traditional DL-based encryption scheme with anonymity
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On generalized middle-level problem
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Image processing based recognition of images with a limited number of pixels using simulated prosthetic vision
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Steganalysis of LSB matching based on statistical modeling of pixel difference distributions
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A priori identification of preferred alternatives of OWA operators by relational analysis of arguments
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Existence and global exponential stability of periodic solution for delayed neural networks with impulsive and stochastic effects
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Efficient face recognition using tensor subspace regression
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Tensor-based subspace learning and its applications in multi-pose face synthesis
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Shadow compensation based on facial symmetry and image average for robust face recognition
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Stability analysis for stochastic neural networks of neutral type with both Markovian jump parameters and mixed time delays
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Dynamical behavior of a class of nonsmooth gradient-like systems
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VQSVM: A case study for incorporating prior domain knowledge into inductive machine learning
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Coarse scales are sufficient for efficient categorization of emotional facial expressions: Evidence from neural computation
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Indirect hierarchical FCMAC control for the ball and plate system
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Biomarker discovery for toxicity
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Gene and sample selection for cancer classification with support vectors based t-statistic
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Improved stability criteria of neural networks with time-varying delays: An augmented LKF approach
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Object-oriented subspace analysis for airborne hyperspectral remote sensing imagery
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Invertible matrices and semilinear spaces over commutative semirings
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A multiscale neural network learning paradigm for financial crisis forecasting
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A novel classification method using the combination of FDPS and flexible neural tree
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Online learning of shaping rewards in reinforcement learning
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Understanding neurodynamical systems via Fuzzy Symbolic Dynamics
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A fast method to approximately train hard support vector regression
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Efficient exploration through active learning for value function approximation in reinforcement learning
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A Hopfield Neural Network for combining classifiers applied to textured images
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Optimal neurocontroller synthesis for impulse-driven systems
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A fast algorithm for AR parameter estimation using a novel noise-constrained least-squares method
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An evaluation of Bayesian techniques for controlling model complexity and selecting inputs in a neural network for short-term load forecasting
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The iCub humanoid robot: An open-systems platform for research in cognitive development
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