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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Threat evaluation of enemy air fighters via neural network-based Markov chain modeling
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Document representation and feature combination for deceptive spam review detection
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Boundedness and periodicity for linear threshold discrete-time quaternion-valued neural network with time-delays
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A fast and effective principal singular subspace tracking algorithm
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Modelling of parametrized processes via regression in the model space of neural networks
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Distributed flow network control with demand response via price adjustment
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Evaluating deep learning architectures for Speech Emotion Recognition
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Composite learning from adaptive backstepping neural network control
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Synchronised firing patterns in a random network of adaptive exponential integrate-and-fire neuron model
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An unsupervised deep domain adaptation approach for robust speech recognition
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Nonnegative low-rank representation based manifold embedding for semi-supervised learning
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What is numerical algebraic geometry?
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Loss allocation of radial distribution system using Shapley value: A sequential approach
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A direct method for assessing distance-protection behavior during power swings
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Oscillation mode analysis for power grids using adaptive local iterative filter decomposition
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Value of electric interconnection links in remote island power systems: The Spanish Canary and Balearic archipelago cases
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Insights into randomized algorithms for neural networks: Practical issues and common pitfalls
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Predictive high-level feature representation based on dictionary learning
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Range-of-motion measurement with therapist-joined method for robot-assisted ankle stretching
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Workspace and dynamic performance evaluation of the parallel manipulators in a spray-painting equipment
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Face recognition using both visible light image and near-infrared image and a deep network
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Mechanisms of interaction between learning and evolution
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Representing social intelligence: An agent-based modeling application
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Assessment of reconfiguration schemes for Reconfigurable Manufacturing Systems based on resources and lead time
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Fuzzy MTEJ controller with integrator for control of underactuated manipulators
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Framework for integrated oil pipeline monitoring and incident mitigation systems
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Theatrical approach: Designing human-like behaviour in humanoid robots
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The sensitive line identification in resilient power system based on fault chain model
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Error analysis for the semi-supervised algorithm under maximum correntropy criterion
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Discovering social spammers from multiple views
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On learning the visibility for joint importance sampling of low-order scattering
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Neural network based fin control for ship roll stabilization with guaranteed robustness
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Time-optimal state feedback stabilization of switched Boolean control networks
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Separable vocabulary and feature fusion for image retrieval based on sparse representation
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Actor identification via mining representative actions
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Design of integrated synergetic controller for the excitation and governing system of hydraulic generator unit
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Probabilistic fuzzy regression approach for preference modeling
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Multi-Objective Differential Evolution for feature selection in Facial Expression Recognition systems
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A novel approach for automated land partitioning using genetic algorithm
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Air filter particulate loading detection using smartphone audio and optimized ensemble classification
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Bayesian posterior misclassification error risk distributions for ensemble classifiers
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Deep learning for biological image classification
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Transshipment hub selection from a shipper's and freight forwarder's perspective
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A novel approach for mining maximal frequent patterns
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One-time password authentication scheme based on the negative database
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The perception of team engagement reduces stress induced situation awareness overconfidence and risk-taking
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Towards intelligent social robots: Current advances in cognitive robotics
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A visual embedding for the unsupervised extraction of abstract semantics
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Near field acoustic localization under unfavorable conditions using feedforward neural network for processing time difference of arrival
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Breast tumor classification in ultrasound images using texture analysis and super-resolution methods
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Synergistic integration of graph-cut and cloud model strategies for image segmentation
Fulltext Access 10 Pages 2017
A self-learning disturbance observer for nonlinear systems in feedback-error learning scheme
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Tackling topic general words in topic modeling
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Predictive Nyström method for kernel methods
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A Novel multiple kernel-based dictionary learning for distributive and collective sparse representation based classifiers
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A relative value trading system based on a correlation and rough set analysis for the foreign exchange futures market
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The two stage assembly flow-shop scheduling problem with batching and delivery
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Online feature learning for condition monitoring of rotating machinery
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Multiple kernel learning using composite kernel functions
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Global projective synchronization in finite time of nonidentical fractional-order neural networks based on sliding mode control strategy
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An improved incremental constructive single-hidden-layer feedforward networks for extreme learning machine based on particle swarm optimization
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A semi-supervised learning approach for model selection based on class-hypothesis testing
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Robust kernel canonical correlation analysis with applications to information retrieval
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Global asymptotic stability by complex-valued inequalities for complex-valued neural networks with delays on period time scales
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Manufacturing signature in jacobian and torsor models for tolerance analysis of rigid parts
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Stiffness analysis of parallel manipulators with linear limbs by considering inertial wrench of moving links and constrained wrench
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Simulation-based multimodal optimization of decoy system design using an archived noise-tolerant genetic algorithm
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Complex layout analysis based on contour classification and morphological operations
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Game theory based node scheduling as a distributed solution for coverage control in wireless sensor networks
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Integrating affective features with engineering features to seek the optimal product varieties with respect to the niche segments
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Collaborative ontology matching based on compact interactive evolutionary algorithm
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Dynamic rolling strategy for multi-vessel quay crane scheduling
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Open-circuit voltage-based state of charge estimation of lithium-ion power battery by combining controlled auto-regressive and moving average modeling with feedforward-feedback compensation method
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Competences-based performance model of multi-skilled workers with learning and forgetting
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Detecting outlier pairs in complex network based on link structure and semantic relationship
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On the existence of aggregation functions with given super-additive and sub-additive transformations
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Adaptive finite-time tracking control of switched nonlinear systems
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Clustering-based undersampling in class-imbalanced data
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Sensitivity and transitivity of fuzzified dynamical systems
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Secure publicly verifiable and proactive secret sharing schemes with general access structure
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Interval-valued quintuple implication principle of fuzzy reasoning
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A comparative study on base classifiers in ensemble methods for credit scoring
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A quality guaranteed robust image watermarking optimization with Artificial Bee Colony
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Variance analysis of robust state estimation in power system using influence function
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Simplified modelling of an air-core reactor for lightning impulse transient studies
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Location-based measurement and visualization for interdependence network on construction sites
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Blind signal modulation recognition through clustering analysis of constellation signature
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Electricity clustering framework for automatic classification of customer loads
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Real-time cyber physical system testbed for power system security and control
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A high-performance nonlinear dynamic scheme for the solution of equilibrium constrained optimization problems
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Unsupervised feature selection based on the Morisita estimator of intrinsic dimension
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Measures of uncertainty for neighborhood rough sets
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Unsupervised feature selection via low-rank approximation and structure learning
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Towards social-aware interesting place finding in social sensing applications
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A probabilistic approach to event log completeness
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Graph-based discriminative concept factorization for data representation
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A safe control scheme under the abnormity for the thickening process of gold hydrometallurgy based on Bayesian network
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On the comparison of random and Hebbian weights for the training of single-hidden layer feedforward neural networks
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Parametric-based path generation for automated vehicles at roundabouts
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High dynamic range imaging by sparse representation
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