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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Robust orthogonal matrix factorization for efficient subspace learning
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Multi-label learning with discriminative features for each label
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Learning local Gaussian process regression for image super-resolution
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Multiple graph regularized sparse coding and multiple hypergraph regularized sparse coding for image representation
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A link-based approach to semantic relation analysis
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Real-time discrete neural control applied to a Linear Induction Motor
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Advances in computational intelligence
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Gait recognition across different walking speeds via deterministic learning
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Efficient block-wise temporally consistent contour extraction in image sequences
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Global stability analysis of competitive neural networks with mixed time-varying delays and discontinuous neuron activations
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H∞H∞ filtering for two-dimensional continuous-time Markovian jump systems with deficient transition descriptions
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Wave emitting and propagation induced by autapse in a forward feedback neuronal network
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Context and locality constrained linear coding for human action recognition
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Depth map upsampling using compressive sensing based model
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An experiment of subconscious intelligent social computing on household appliances
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Training subset selection in Hourly Ontario Energy Price forecasting using time series clustering-based stratification
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Fast terrain mapping from low altitude digital imagery
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Relating ensemble diversity and performance: A study in class noise detection
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Effect of label noise in the complexity of classification problems
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A novel robust hybrid gravitational search algorithm for reusable launch vehicle approach and landing trajectory optimization
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Almost periodic solutions for a memristor-based neural networks with leakage, time-varying and distributed delays
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Multi-apartment residential microgrid monitoring system based on kernel canonical variate analysis
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Harmonious competition learning for Gaussian mixtures
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Fast total-variation based image restoration based on derivative alternated direction optimization methods
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The rhythms of steady posture: Motor commands as spatially organized oscillation patterns
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Short-term peak shaving operation for multiple power grids with pumped storage power plants
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A one-layer recurrent neural network for constrained nonconvex optimization
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Multimodal emotional state recognition using sequence-dependent deep hierarchical features
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Optimizing the echo state network with a binary particle swarm optimization algorithm
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Exploiting semantic knowledge for robot object recognition
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One global optimization method in network flow model for multiple object tracking
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Three-phase grid voltage synchronization using sinusoidal amplitude integrator in synchronous reference frame
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Distribution system efficiency improvement using network reconfiguration and capacitor allocation
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A novel control method for series hybrid active power filter working under unbalanced supply conditions
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Real power and frequency control of a small isolated power system
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Chaotic artificial bee colony algorithm based solution of security and transient stability constrained optimal power flow
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Security-based multi-objective congestion management for emission reduction in power system
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A novel dual-inductor based charge equalizer for traction battery cells of electric vehicles
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Bagged fuzzy clustering for fuzzy data: An application to a tourism market
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Design and evaluation of a hybrid system for detection and prediction of faults in electrical transformers
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Performance comparison of neural networks for intelligent management of distributed generators in a distribution system
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Trust based latency aware influence maximization in social networks
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Predicting the need for vehicle compressor repairs using maintenance records and logged vehicle data
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Recent survey on crowd density estimation and counting for visual surveillance
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Multiple kernel extreme learning machine
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Event detection and popularity prediction in microblogging
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Neural networks based visual attention model for surveillance videos
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Projection inspector: Assessment and synthesis of multidimensional projections
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Dynamic ensemble pruning based on multi-label classification
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Improving the accuracy of long-term travel time prediction using heterogeneous ensembles
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A combined negative selection algorithm–particle swarm optimization for an email spam detection system
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A modular approach for lexical normalization applied to Spanish tweets
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A novel hybrid evolutionary approach for capturing decision maker knowledge into the unequal area facility layout problem
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Discovering utility-based episode rules in complex event sequences
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Multi-objective optimization based reverse strategy with differential evolution algorithm for constrained optimization problems
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Cluster analysis using optimization algorithms with newly designed objective functions
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Disruption based gravitational search algorithm for short term hydrothermal scheduling
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Knowledge discovery in task-oriented dialogue
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Online adaptive motion model-based target tracking using local search algorithm
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A new holistic systems approach to the design of heat treated alloy steels using a biologically inspired multi-objective optimisation algorithm
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On the performance of parallel hybrid algorithms for the solution of the quadratic assignment problem
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Concurrent Markov decision processes for robot team learning
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Recursive construction of output-context fuzzy systems for the condition monitoring of electrical hotspots based on infrared thermography
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Ensemble learning methods for pay-per-click campaign management
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The application of iterative interval arithmetic in path-wise test data generation
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Survey of multi-agent systems for microgrid control
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A multi-variable grey model with a self-memory component and its application on engineering prediction
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Ensemble multi-objective biogeography-based optimization with application to automated warehouse scheduling
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On the linear discriminant analysis for large number of classes
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Semantic-based approach to improve the description and the discovery of Linguistic Web Services
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Understanding knowledge contribution in online knowledge communities: A model of community support and forum leader support
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Exploring the effects of patient-generated and system-generated information on patients’ online search, evaluation and decision
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Analysis of an advertisement based business model under technological advancements in fair use personal recording services
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Identifying patterns in channel usage across the search, purchase and post-sales stages of shopping
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Concept drift mining of portfolio selection factors in stock market
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Adaptive nonlinear control of three-phase shunt active power filters with magnetic saturation
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Parameter learning for the belief rule base system in the residual life probability prediction of metalized film capacitor
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Exponential random graph modeling of emergency collaboration networks
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On characterizing and computing the diversity of hyperlinks for anti-spamming page ranking
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Mining closed partially ordered patterns, a new optimized algorithm
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Correlation and instance based feature selection for electricity load forecasting
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Global exponential periodicity and stability of discrete-time complex-valued recurrent neural networks with time-delays
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Phase synchronization of coupled bursting neurons and the generalized Kuramoto model
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Impulsive synchronization of Markovian jumping randomly coupled neural networks with partly unknown transition probabilities via multiple integral approach
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A new robust model of one-class classification by interval-valued training data using the triangular kernel
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A new computational account of cognitive control over reinforcement-based decision-making: Modeling of a probabilistic learning task
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On multi-granular fuzzy linguistic modeling in group decision making problems: A systematic review and future trends
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An empirical study based on semi-supervised hybrid self-organizing map for software fault prediction
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Customer empowerment: Does it influence electronic government success? A citizen-centric perspective
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Group decision support system for backbone-network reconfiguration
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Optimum day-ahead clearing of energy and reserve markets with wind power generation using anticipated real-time adjustment costs
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Experimental results and technique evaluation based on alienation coefficients for busbar protection scheme
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Cuckoo Search algorithm based load frequency controller design for nonlinear interconnected power system
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A parallel heuristic reduction based approach for distribution network fault diagnosis
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Robust voltage regulation in unbalanced radial distribution system under uncertainty of distributed generation and loads
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Evolution of primary frequency control requirements in Great Britain with increasing wind generation
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Fine-grained analysis of explicit and implicit sentiment in financial news articles
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Optimization of a passive vibration absorber for a barrel using the genetic algorithm
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Identity verification using shape and geometry of human hands
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Cardiovascular diseases identification using electrocardiogram health identifier based on multiple criteria decision making
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