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Daneshyari Artificial Intelligence Journas Latest Articles

Artificial Intelligence Research Articles

Granular fuzzy modeling with evolving hyperboxes in multi-dimensional space of numerical data
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Using machine learning techniques for evaluating tomato ripeness
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Smartphone image clustering
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Adaptive mobile activity recognition system with evolving data streams
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Expert system based on the arrangement evaluation model for the arrangement design of a submarine
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Image reconstruction under multiplicative speckle noise using total variation
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Extending knowledge-driven activity models through data-driven learning techniques
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Learning classifiers from dual annotation ambiguity via a min–max framework
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Categorical data clustering: What similarity measure to recommend?
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Adaptive fuzzy vector control for a doubly-fed induction motor
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State-of-the-art on mapping maintenance and challenges towards a fully automatic approach
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Coupling different methods for overcoming the class imbalance problem
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A bipolar consensus approach for group decision making problems
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A new Histogram Oriented Moments descriptor for multi-oriented moving text detection in video
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Genetic algorithms and Darwinian approaches in financial applications: A survey
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Cluster-sensitive Structured Correlation Analysis for Web cross-modal retrieval
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Fly visual system inspired artificial neural network for collision detection
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Optimum steepest descent higher level learning radial basis function network
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Significant region based robust watermarking scheme in lifting wavelet transform domain
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A robust embedded biometric authentication system based on fingerprint and chaotic encryption
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Traffic sign segmentation and classification using statistical learning methods
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Effective feature selection using feature vector graph for classification
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Could linear model bridge the gap between low-level statistical features and aesthetic emotions of visual textures?
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Neural anti-collision system for Autonomous Surface Vehicle
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Local extrema co-occurrence pattern for color and texture image retrieval
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A semantic grammar for beginning communicators
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Bilinear low-rank coding framework and extension for robust image recovery and feature representation
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Generation scheduling in smart grid environment using global best artificial bee colony algorithm
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A hybrid firefly algorithm and pattern search technique for automatic generation control of multi area power systems
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A cognitive model fleshes out Kahneman's fast and slow systems
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Simulation based iterative post-optimization of paths of robot guided thermal spraying
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Temporal expression extraction with extensive feature type selection and a posteriori label adjustment
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A comparison of homotopic path planning algorithms for robotic applications
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Modeling of zenith path delay over Antarctica using an adaptive neuro fuzzy inference system technique
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Construction-specific spatial information reasoning in Building Information Models
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A novel model for assessing sliding mechanics and tactile sensation of human-like fingertips during slip action
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Hybrid stage shop scheduling
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Diversity-driven generation of link-based cluster ensemble and application to data classification
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Backtracking Search Algorithm with three constraint handling methods for constrained optimization problems
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Parallel multi-objective multi-robot coalition formation
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Multi-objective optimization of analog integrated circuit placement hierarchy in absolute coordinates
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Learning to classify short text from scientific documents using topic models with various types of knowledge
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A neuro-fuzzy approach to self-management of virtual network resources
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Detecting spammers on social networks
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Consideration of human resources in the Mixed-model Sequencing Problem with Work Overload Minimization: Legal provisions and productivity improvement
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Component recommendation for composite application development
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A high-order multi-variable Fuzzy Time Series forecasting algorithm based on fuzzy clustering
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A novel method for computation of importance weights in Monte Carlo localization on line segment-based maps
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A review on computer vision based defect detection and condition assessment of concrete and asphalt civil infrastructure
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A hybrid cost estimation framework based on feature-oriented data mining approach
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A method for identification of automation potential through modelling of engineering processes and quantification of information waste
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Energy efficiency benchmarking for injection moulding processes
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Summarizing surveillance videos with local-patch-learning-based abnormality detection, blob sequence optimization, and type-based synopsis
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A study on coevolutionary dynamics of knowledge diffusion and social network structure
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Assessing power system security. A framework and a multi model approach
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Integrated distribution network expansion planning incorporating distributed generation considering uncertainties, reliability, and operational conditions
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Fault detection analysis using data mining techniques for a cluster of smart office buildings
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Self-adaptive Support Vector Machine: A multi-agent optimization perspective
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Game of information security investment: Impact of attack types and network vulnerability
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Leanness assessment and optimization by fuzzy cognitive map and multivariate analysis
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Correcting flawed expert knowledge through reinforcement learning
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Wordification: Propositionalization by unfolding relational data into bags of words
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An exact approach for the Blocks Relocation Problem
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System with probabilistic fuzzy knowledge base and parametric inference operators in risk assessment of innovative projects
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A novel bat algorithm with habitat selection and Doppler effect in echoes for optimization
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Stochastic optimal power flow incorporating offshore wind farm and electric vehicles
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A new model to quantify the impact of a topic in a location over time with Social Media
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Novel fuzzy hybrid multi-criteria group decision making approaches for the strategic supplier selection problem
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A hybrid possibilistic approach for Arabic full morphological disambiguation
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Approximate and selective reasoning on knowledge graphs: A distributional semantics approach
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A single computational model for many learning phenomena
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Self-organization of grid fields under supervision of place cells in a neuron model with associative plasticity
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Application of a two-stage fuzzy neural network to a prostate cancer prognosis system
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An unsupervised feature learning framework for basal cell carcinoma image analysis
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Automatic evidence quality prediction to support evidence-based decision making
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Learning pseudo-tags to augment sparse tagging in hybrid music recommender systems
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Model-Tree Ensembles for noise-tolerant system identification
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Periodic synchronization control of discontinuous delayed networks by using extended Filippov-framework
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A real-time topography of maximum contact pressure distribution at medial tibiofemoral knee implant during gait: Application to knee rehabilitation
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Improving classification rate constrained to imbalanced data between overlapped and non-overlapped regions by hybrid algorithms
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A new automatic mass detection method for breast cancer with false positive reduction
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Metric and non-metric proximity transformations at linear costs
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Semi-supervised local ridge regression for local matching based face recognition
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Robust sensorimotor control of human arm model under state-dependent noises, control-dependent noises and additive noises
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Network decomposition based large-scale reverse engineering of gene regulatory network
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Global Coupled Learning and Local Consistencies Ensuring for sparse-based tracking
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Making risk minimization tolerant to label noise
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Comparison of two topological approaches for dealing with noisy labeling
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Pinning sampled-data control for synchronization of complex networks with probabilistic time-varying delays using quadratic convex approach
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Features extraction techniques for pollen grain classification
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Comparison between time-constrained and time-unconstrained optimization for power losses minimization in Smart Grids using genetic algorithms
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Engineering central pattern generated behaviors for the deployment of robotic systems
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Multi-frame image super resolution based on sparse coding
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Self-organizing maps based on limit cycle attractors
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Active learning for semi-supervised clustering based on locally linear propagation reconstruction
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A vector reconstruction based clustering algorithm particularly for large-scale text collection
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Optimized face recognition algorithm using radial basis function neural networks and its practical applications
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Real-time human action classification using a dynamic neural model
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Multi-touch gestures for pre-kindergarten children
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The benefit of being physically present: A survey of experimental works comparing copresent robots, telepresent robots and virtual agents
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