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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Data-driven adaptive dynamic programming for continuous-time fully cooperative games with partially constrained inputs
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Robust adaptive neural control for a class of non-affine nonlinear systems
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Integration of touch attention mechanisms to improve the robotic haptic exploration of surfaces
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State estimation for recurrent neural networks with unknown delays: A robust analysis approach
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Set-based many-objective optimization guided by a preferred region
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Data mining process for identification of non-spontaneous saccadic movements in clinical electrooculography
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Salient region detection via locally smoothed label propagation: With application to attention driven image abstraction
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Joint user-interest and social-influence emotion prediction for individuals
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Automatic texture defect detection using Gaussian mixture entropy modeling
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Power quality enhancement using fuzzy sliding mode based pulse width modulation control strategy for unified power quality conditioner
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Cross-heterogeneous-database age estimation through correlation representation learning
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Reconstructing tree trunks by 3D bar filters
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A stochastic methodology to adjust controllers based on moments Lyapunov exponents: Application to power systems
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Risk-based framework for supplying electricity from renewable generation-owning retailers to price-sensitive customers using information gap decision theory
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Fast fault detection scheme for series-compensated lines during power swing
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Influence of phasor adjustment of harmonic sources on the allowable penetration level of distributed generation
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Roles of pre-training in deep neural networks from information theoretical perspective
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An enhanced trust prediction strategy for online social networks using probabilistic reputation features
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Fuzzy logic based tool condition monitoring for end-milling
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Episodic non-Markov localization
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Impedance control of series elastic actuators based on well-defined force dynamics
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Neural networks to increase the autonomy of interplanetary nanosatellite missions
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A self-repairing approach for the M-Lattice modular robotic system using digital hormone model
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Grey wolf optimization evolving kernel extreme learning machine: Application to bankruptcy prediction
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Bayesian and Dempster-Shafer reasoning for knowledge-based fault diagnosis-A comparative study
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A novel design and implementation technique for low complexity variable digital filters using multi-objective artificial bee colony optimization and a minimal spanning tree approach
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Gamification of Apollo lunar exploration missions for learning engagement
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Design and development of lower limb exoskeletons: A survey
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Efficient traffic congestion estimation using multiple spatio-temporal properties
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On expressiveness and uncertainty awareness in rule-based classification for data streams
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Gene selection in autism - Comparative study
Fulltext Access 16 Pages 2017
Discover learning path for group users: A profile-based approach
Fulltext Access 16 Pages 2017
Multi-factors based sentence ordering for cross-document fusion from multimodal content
Fulltext Access 16 Pages 2017
Hierarchical sparse representation with deep dictionary for multi-modal classification
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Streaming clustering with Bayesian nonparametric models
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Finite-time state estimation for jumping recurrent neural networks with deficient transition probabilities and linear fractional uncertainties
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Updating initial labels from spectral graph by manifold regularization for saliency detection
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Learning with label proportions based on nonparallel support vector machines
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Hybrid scheme for accurate stereo matching
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Consensus of multi-agent systems with time delay based on periodic sample and event hybrid control
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Pre-training the deep generative models with adaptive hyperparameter optimization
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Efficient training of supervised spiking neural networks via the normalized perceptron based learning rule
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Optimization enhanced genetic algorithm-support vector regression for the prediction of compound retention indices in gas chromatography
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A survey of deep neural network architectures and their applications
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SAR target configuration recognition based on the biologically inspired model
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Consensus of fractional-order multi-agent systems with linear models via observer-type protocol
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An artificial neural network for solving quadratic zero-one programming problems
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Modified sparse representation based image super-resolution reconstruction method
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Performance and robustness of bio-inspired digital liquid state machines: A case study of speech recognition
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An improved multi-objective evolutionary algorithm based on environmental and history information
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On scheduling of deception attacks for discrete-time networked systems equipped with attack detectors
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Supervised Adaptive Incremental Clustering for data stream of chunks
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A collaborative system for capturing and reusing in-context design knowledge with an integrated representation model
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Automatic reward system for virtual creatures, emergent processes of emotions and physiological motivation
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Indoor corner recognition from crowdsourced trajectories using smartphone sensors
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A methodology for analysis of concept lattice reduction
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Coverage probability in cognitive radio networks powered by renewable energy with primary transmitter assisted protocol
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An empirical comparison of techniques for the class imbalance problem in churn prediction
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Forming time-stable homogeneous groups into Online Social Networks
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Domain class consistency based transfer learning for image classification across domains
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Anomaly detection using the correlational paraconsistent machine with digital signatures of network segment
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A framework for modelling the biomechanical behaviour of the human liver during breathing in real time using machine learning
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Evolving trading strategies using directional changes
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Spatial features selection for unsupervised speaker segmentation and clustering
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Keyword spotting in doctor's handwriting on medical prescriptions
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An efficient brain tumor segmentation based on cellular automata and improved tumor-cut algorithm
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A visual analytical approach for transfer learning in classification
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Cluster evolution analysis: Identification and detection of similar clusters and migration patterns
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Memory based Hybrid Dragonfly Algorithm for numerical optimization problems
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Probabilistic object deputy model for uncertain data and lineage management
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Planning runtime software adaptation through pragmatic goal model
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Specifying and testing the design rationale of social robots for behavior change in children
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Who is this?: Identity and presence in robot-mediated communication
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A historical survey of algorithms and hardware architectures for neural-inspired and neuromorphic computing applications
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Analyzing interactions on combining multiple clinical guidelines
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Model-based furniture recognition for building semantic object maps
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Application of clustering for the development of retrofit strategies for large building stocks
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Algorithms for polycyclic-by-finite groups
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Dynamic response and transfer function of social systems: A neuro-inspired model of collective human activity patterns
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Hybrid neuro-heuristic methodology for simulation and control of dynamic systems over time interval
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Synchronization stability of memristor-based complex-valued neural networks with time delays
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Bridging qualitative spatial constraints and feature-based parametric modelling: Expressing visibility and movement constraints
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An overview on the roles of fuzzy set techniques in big data processing: Trends, challenges and opportunities
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A multi-objective artificial bee colony algorithm for parallel batch-processing machine scheduling in fabric dyeing processes
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An efficient instance selection algorithm to reconstruct training set for support vector machine
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A new validity index of feature subset for evaluating the dimensionality reduction algorithms
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A new framework for the verification of service trust behaviors
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Cooperative two-engine multi-objective bee foraging algorithm with reinforcement learning
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Hierarchical task network planning with resources and temporal constraints
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A new neural network model for solving random interval linear programming problems
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Critical points via monodromy and local methods
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Types of signature analysis in reliability based on Hilbert series
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Leveraging finger identification to integrate multi-touch command selection and parameter manipulation
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Animal-Computer Interaction: The emergence of a discipline
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Privacy-preserving attribute-keyword based data publish-subscribe service on cloud platforms
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A new approach of optimal scale selection to multi-scale decision tables
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How to adjust an ensemble size in stream data mining?
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Leveraging linguistic traits and semi-supervised learning to single out informational content across how-to community question-answering archives
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Finding the samples near the decision plane for support vector learning
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An extension of the taxonomy of persistent and nonviolent steps
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