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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Bandit-based local feature subset selection
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Power line detection from optical images
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Text style analysis using trace ratio criterion patch alignment embedding
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Recognizing human group action by layered model with multiple cues
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A robust least squares support vector machine for regression and classification with noise
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Selecting the best measures to discover quantitative association rules
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Neural learning of vector fields for encoding stable dynamical systems
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Partially centralized approach for dynamic hierarchical-plans merging
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An experimental study on evolutionary fuzzy classifiers designed for managing imbalanced datasets
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Multi-objective unsupervised feature selection algorithm utilizing redundancy measure and negative epsilon-dominance for fault diagnosis
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Multi-objective model type selection
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Binary social impact theory based optimization and its applications in pattern recognition
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On the characterization of noise filters for self-training semi-supervised in nearest neighbor classification
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Mining user-contributed photos for personalized product recommendation
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A critical chains based distributed multi-project scheduling approach
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ℓp-norm multiple kernel learning with low-rank kernels
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Kernel learning at the first level of inference
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Fastest strategy to achieve given number of neuronal firing in theta model
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Relative entropy minimizing noisy non-linear neural network to approximate stochastic processes
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A computer vision system for rapid search inspired by surface-based attention mechanisms from human perception
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New approximation method for smooth error backpropagation in a quantron network
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Modeling virtual organizations with Latent Dirichlet Allocation: A case for natural language processing
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Biologically relevant neural network architectures for support vector machines
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A linear recurrent kernel online learning algorithm with sparse updates
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Robust support vector machine-trained fuzzy system
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A survey on Advanced Metering Infrastructure
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Some methods to deal with unacceptable incomplete 2-tuple fuzzy linguistic preference relations in group decision making
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A smart TV system with body-gesture control, tag-based rating and context-aware recommendation
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Grey Forecast model for accurate recommendation in presence of data sparsity and correlation
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Study on harmonic emission of domestic equipment combined with different types of lighting
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Solution of reactive power dispatch of power systems by an opposition-based gravitational search algorithm
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A multi-objective solution algorithm for optimum utilization of Smart Grid infrastructure towards social welfare
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Point estimate method for probabilistic load flow of an unbalanced power distribution system with correlated wind and solar sources
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Demand response design and use based on network locational marginal prices
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An integrated lookahead control-based adaptive supervisory framework for autonomic power system applications
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A multiobjective hybrid evolutionary algorithm for robust design of distribution networks
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Probabilistic tuning of Power System Stabilizers considering the wind farm generation uncertainty
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Multi-objective quasi-oppositional teaching learning based optimization for optimal location of distributed generator in radial distribution systems
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Fast Gaussian kernel learning for classification tasks based on specially structured global optimization
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A novel integration technique for optimal network reconfiguration and distributed generation placement in power distribution networks
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Multi-objective economic emission dispatch considering wind power using evolutionary algorithm based on decomposition
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Species-based Quantum Particle Swarm Optimization for economic load dispatch
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Synchronization of isolated microgrids with a communication infrastructure using energy storage systems
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A virtual grouping based fault-tolerant scheme for autonomous networks
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Analyzing rough set based attribute reductions by extension rule
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A multi-objective evolutionary algorithm-based ensemble optimizer for feature selection and classification with neural network models
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Fixed-final-time optimal tracking control of input-affine nonlinear systems
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Histogram of visual words based on locally adaptive regression kernels descriptors for image feature extraction
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Combining example selection with instance selection to speed up multiple-instance learning
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Multi-step-ahead time series prediction using multiple-output support vector regression
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A novel deterministic approach for aspect-based opinion mining in tourism products reviews
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A model-driven approach for facilitating user-friendly design of complex event patterns
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A model for profile management applied to ubiquitous learning environments
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Fault diagnosis of electric railway traction substation with model-based relation guiding algorithm
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An analysis of alignment and integral based kernels for machine learning from vessel trajectories
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Handling numeric attributes with ant colony based classifier for medical decision making
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Iterated local search heuristics for the Vehicle Routing Problem with Cross-Docking
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Gait modification and optimization using neural network–genetic algorithm approach: Application to knee rehabilitation
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Type-2 fuzzy multi-intersection traffic signal control with differential evolution optimization
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Intelligent bearing fault detection by enhanced energy operator
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Artificial neural network application for modeling the rail rolling process
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Creating technological innovation via green supply chain management: An empirical analysis
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Entropy based evaluation of net structures – deployed in Social Network Analysis
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Decision making procedure of demand satisfaction and production policy for capacitated production systems
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The effect of temporal adaptation granularity and game genre on the time-balancing abilities of adaptive time-varying minigames
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The name in the game: Patterns in character names and gamer tags
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Gamification and serious game approaches for adult literacy tablet software
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A review of opposition-based learning from 2005 to 2012
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Hybrid biogeography-based evolutionary algorithms
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Combining learning in model space fault diagnosis with data validation/reconstruction: Application to the Barcelona water network
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Optimal composite morphological supervised filter for image denoising using genetic programming: Application to magnetic resonance images
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Differential evolution algorithm for the selection of optimal scaling factors in image watermarking
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Maintaining the discovered sequential patterns for sequence insertion in dynamic databases
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Long term learning in image retrieval systems using case based reasoning
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Translating bus information into sign language for deaf people
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Generalized intuitionistic fuzzy geometric interaction operators and their application to decision making
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Discrete-time online learning control for a class of unknown nonaffine nonlinear systems using reinforcement learning
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Practical emotional neural networks
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Improved harmony search algorithm for transmission expansion planning with adequacy–security considerations in the deregulated power system
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An affine adjustable robust model for generation and transmission network planning
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Oppositional teaching learning based optimization approach for combined heat and power dispatch
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Robust feeder reconfiguration in radial distribution networks
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Optimal capacitor placement in radial distribution systems using teaching learning based optimization
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Combined environmental and economic dispatch of smart grids using distributed model predictive control
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Modeling, planning and optimal energy management of combined cooling, heating and power microgrid: A review
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Solution of Economic Emission Load Dispatch problems of power systems by Real Coded Chemical Reaction algorithm
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Bulk electricity storage technologies for load-leveling operation – An economic assessment for the Austrian and German power market
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Analysis and extension of decision trees based on imprecise probabilities: Application on noisy data
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An unsupervised feature selection algorithm based on ant colony optimization
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Novel feature selection methods to financial distress prediction
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Estimating the effects of mental disorientation and physical fatigue in a semi-panic evacuation
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Mobile augmented reality based context-aware library management system
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Efficient classification using parallel and scalable compressed model and its application on intrusion detection
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Phishing detection based Associative Classification data mining
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A new approach of audio emotion recognition
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Software prototype for solving multi-objective machining optimization problems: Application in non-conventional machining processes
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An improved Shuffled Frog-leaping Algorithm to optimize component pick-and-place sequencing optimization problem
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Forest Optimization Algorithm
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A Max–Min Ant System algorithm to solve the Software Project Scheduling Problem
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A multi-agent approach to Intelligent Transportation Systems modeling with combinatorial auctions
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