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Biblioteca

MARC Lista (tabellare)
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22796-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNISA-996465591503316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22808-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNISA-996465590403316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part I / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXII, 483 p. 198 illus., 133 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22796-0
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNINA-9910337852703321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Advances in Neural Networks – ISNN 2019 [[electronic resource] ] : 16th International Symposium on Neural Networks, ISNN 2019, Moscow, Russia, July 10–12, 2019, Proceedings, Part II / / edited by Huchuan Lu, Huajin Tang, Zhanshan Wang
Edizione [1st ed. 2019.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Descrizione fisica 1 online resource (XXI, 615 p. 322 illus., 201 illus. in color.)
Disciplina 006.3
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Computer vision
Numerical analysis
Data mining
Computer science—Mathematics
Algorithms
Artificial Intelligence
Computer Vision
Numerical Analysis
Data Mining and Knowledge Discovery
Mathematical Applications in Computer Science
ISBN 3-030-22808-8
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Learning System, Graph Model, and Adversarial Learning -- Time Series Analysis, Dynamic Prediction, and Uncertain Estimation -- Model Optimization, Bayesian Learning, and Clustering -- Game Theory, Stability Analysis, and Control Method -- Signal Processing, Industrial Application, and Data Generation -- Image Recognition, Scene Understanding, and Video Analysis -- Bio-signal, Biomedical Engineering, and Hardware.
Record Nr. UNINA-9910337852503321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2020 [[electronic resource] ] : 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings / / edited by Min Han, Sitian Qin, Nian Zhang
Advances in Neural Networks – ISNN 2020 [[electronic resource] ] : 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings / / edited by Min Han, Sitian Qin, Nian Zhang
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 284 p. 128 illus., 98 illus. in color.)
Disciplina 573.8536
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Numerical analysis
Computer vision
Algorithms
Artificial Intelligence
Numerical Analysis
Computer Vision
ISBN 3-030-64221-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimization Algorithms -- Parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm -- A Quantum-Inspired Genetic K-Means Algorithm for Gene Clustering -- Spark Parallel Acceleration-based Optimal Scheduling for Air Compressor Group -- A PSO Based Technique for Optimal Integration of DG into the Power Distribution System -- Online Data-driven Surrogate-Assisted Particle Swarm Optimization for Traffic Flow Optimization -- Neurodynamics, Complex Systems, and Chaos -- Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism -- Multi-Resolution Statistical Shape Models for Multi-Organ Shape Modelling -- A Neural Network for Distributed Optimization over Multiagent Networks -- Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-timescale Neurodynamic Optimization -- An Efficient Method of Advertising on Online Social Networks -- Supervised/Unsupervised/Reinforcement Learning/Deep Learning -- Semantic Modulation Based Residual Network for Temporal Language Queries -- Grounding in Video -- AlTwo: Vehicle Recognition in Foggy Weather Based on Two-step Recognition Algorithm -- Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM) -- Deep Point Cloud Odometry: a Deep Learning Based Odometry with 3D Laser Point Clouds -- Models, Methods and Algorithms -- Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables -- Adaptive Gaussian Noise Injection Regularization for Neural Networks -- Pattern Recognition Based on Improved Szmidt and Kacprzyk's Correlation Coefficient in Pythagorean Fuzzy Environment -- On Position and Attitude Control of Flapping Wing Micro-Aerial Vehicle -- Supply Chain Financing Model with Data Analysis under the Third-party Partial Guarantee -- Signal, Image and Video Processing -- Detecting Apples in Orchards Using YOLOv3 and YOLOv5 in General and Close-up Images -- Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering -- ContourRend: A Segmentation Method for Improving Contours by Rendering -- Edge Information Extraction of Overlapping Fiber Optical Microscope Imaging Based on Modified Watershed Algorithm -- A Visually Impaired Assistant using Neural Network and Image Recognition with Physical Navigation.
Record Nr. UNISA-996418297903316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks – ISNN 2020 [[electronic resource] ] : 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings / / edited by Min Han, Sitian Qin, Nian Zhang
Advances in Neural Networks – ISNN 2020 [[electronic resource] ] : 17th International Symposium on Neural Networks, ISNN 2020, Cairo, Egypt, December 4–6, 2020, Proceedings / / edited by Min Han, Sitian Qin, Nian Zhang
Edizione [1st ed. 2020.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Descrizione fisica 1 online resource (XIII, 284 p. 128 illus., 98 illus. in color.)
Disciplina 573.8536
Collana Theoretical Computer Science and General Issues
Soggetto topico Artificial intelligence
Numerical analysis
Computer vision
Algorithms
Artificial Intelligence
Numerical Analysis
Computer Vision
ISBN 3-030-64221-6
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Optimization Algorithms -- Parameters Identification of Solar Cells Based on Classification Particle Swarm Optimization Algorithm -- A Quantum-Inspired Genetic K-Means Algorithm for Gene Clustering -- Spark Parallel Acceleration-based Optimal Scheduling for Air Compressor Group -- A PSO Based Technique for Optimal Integration of DG into the Power Distribution System -- Online Data-driven Surrogate-Assisted Particle Swarm Optimization for Traffic Flow Optimization -- Neurodynamics, Complex Systems, and Chaos -- Complex Dynamic Behaviors in a Discrete Chialvo Neuron Model Induced by Switching Mechanism -- Multi-Resolution Statistical Shape Models for Multi-Organ Shape Modelling -- A Neural Network for Distributed Optimization over Multiagent Networks -- Dynamically Weighted Model Predictive Control of Affine Nonlinear Systems Based on Two-timescale Neurodynamic Optimization -- An Efficient Method of Advertising on Online Social Networks -- Supervised/Unsupervised/Reinforcement Learning/Deep Learning -- Semantic Modulation Based Residual Network for Temporal Language Queries -- Grounding in Video -- AlTwo: Vehicle Recognition in Foggy Weather Based on Two-step Recognition Algorithm -- Development of a Drought Prediction System Based on Long Short-Term Memory Networks (LSTM) -- Deep Point Cloud Odometry: a Deep Learning Based Odometry with 3D Laser Point Clouds -- Models, Methods and Algorithms -- Imputation of Incomplete Data Based on Attribute Cross Fitting Model and Iterative Missing Value Variables -- Adaptive Gaussian Noise Injection Regularization for Neural Networks -- Pattern Recognition Based on Improved Szmidt and Kacprzyk's Correlation Coefficient in Pythagorean Fuzzy Environment -- On Position and Attitude Control of Flapping Wing Micro-Aerial Vehicle -- Supply Chain Financing Model with Data Analysis under the Third-party Partial Guarantee -- Signal, Image and Video Processing -- Detecting Apples in Orchards Using YOLOv3 and YOLOv5 in General and Close-up Images -- Robust Graph Regularized Non-negative Matrix Factorization for Image Clustering -- ContourRend: A Segmentation Method for Improving Contours by Rendering -- Edge Information Extraction of Overlapping Fiber Optical Microscope Imaging Based on Modified Watershed Algorithm -- A Visually Impaired Assistant using Neural Network and Image Recognition with Physical Navigation.
Record Nr. UNINA-9910427667103321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 687 p. 268 illus.) : online resource
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Pattern recognition systems
Computer vision
Mathematical models
Algorithms
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Vision
Mathematical Modeling and Industrial Mathematics
ISBN 3-642-39065-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational Neuroscience and Cognitive Science -- Information Transfer Characteristic in Memristic Neuromorphic Network -- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model -- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem -- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell -- Efficiency Improvements for Fuzzy Associative Memory -- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA -- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses -- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks -- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure -- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes -- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis -- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method -- Generalized Single-Hidden Layer Feedforward Networks -- An Approach for Designing Neural Cryptography -- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays -- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay -- Generalized Function Projective Lag Synchronization between Two Different Neural Networks -- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model -- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays -- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks -- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms -- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression -- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks -- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales -- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays -- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities -- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks -- H∞ Filtering of Markovian Jumping Neural Networks with Time Delays -- Convergence Analysis for Feng’s MCA Neural Network Learning Algorithm -- Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses -- Global Robust Exponential Stability in Lagrange Sense for Interval Delayed Neural Networks -- The Binary Output Units of Neural Network -- Kernel Methods, Large Margin Methods and SVM -- Support Vector Machine with Customized Kernel -- Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure -- Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA: A Monte Carlo Simulation Study -- SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples -- Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection -- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines -- The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network -- Empirical Mode Decomposition Based LSSVM for Ship Motion Prediction -- Optimization Algorithms / Variational Methods -- Optimal Calculation of Tensor Learning Approaches -- Repeatable Optimization Algorithm Based Discrete PSO for Virtual Network Embedding -- An Energy-Efficient Coverage Optimization Method for the Wireless Sensor Networks Based on Multi-objective Quantum-Inspired Cultural Algorithm -- Artificial Bee Colony Algorithm for Modular Neural Network -- An Intelligent Optimization Algorithm for Power Control in Wireless Communication Systems -- Optimized Neural Network Ensemble by Combination of Particle Swarm Optimization and Differential Evolution -- Feature Analysis, Clustering, Pattern Recognition and Classification -- SOR Based Fuzzy K-Means Clustering Algorithm for Classification of Remotely Sensed Images -- UMPCA Based Feature Extraction for ECG -- Genetic Algorithm Based Neural Network for License Plate Recognition -- Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation -- Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network -- Local Feature Coding for Action Recognition Using RGB-D Camera -- Circular Projection for Pattern Recognition -- A Tensor Factorization Based Least Squares Support Tensor Machine for Classification -- A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble -- Model Identification of an Unmanned Helicopter Using ELSSVM -- A Feature Point Clustering Algorithm Based on GG-RNN -- Local Fisher Discriminant Analysis with Locally Linear Embedding Affinity Matrix -- A Facial Expression Recognition Method by Fusing Multiple Sparse Representation Based Classifiers -- Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures -- Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor -- An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network -- Chinese Text Classification Based on Neural Network -- The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects -- A Fast Algorithm for Clustering with MapReduce -- Gaussian Message Propagation in d-order Neighborhood for Gaussian Graphical Model -- Fast Image Classification Algorithms Based on Random Weights Networks -- A Convolutional Neural Network for Pedestrian Gender Recognition -- The Novel Seeding-Based Semi-supervised Fuzzy Clustering Algorithm Inspired by Diffusion Processes -- Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning -- Loose Particle Classification Using a New Wavelet Fisher Discriminant Method -- L1 Graph Based on Sparse Coding for Feature Selection -- Vision Modeling and Image Processing -- An Image Segmentation Method for Maize Disease Based on IGA-PCNN -- A Vector Quantization Approach for Image Segmentation Based on SOM Neural Network -- A Fast Approximate Sparse Coding Networks and Application to Image Denoising -- Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination -- Recognition Approach of Human Motion with Micro-accelerometer Based on PCA-BP Neural Network Algorithm -- A Stable Dual Purpose Adaptive Algorithm for Subspace Tracking on Noncompact Stiefel Manifold -- Invariant Object Recognition Using Radon and Fourier Transforms -- An Effective Method for Signal Extraction from Residual Image, with Application to Denoising Algorithms -- Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy -- Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar.
Record Nr. UNISA-996465968803316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 653 p. 234 illus.) : online resource
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Pattern recognition systems
Computer vision
Mathematical models
Algorithms
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Vision
Mathematical Modeling and Industrial Mathematics
ISBN 3-642-39068-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Control, Robotics and Hardware -- Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors -- Distributed Output Feedback Tracking Control of Uncertain Nonlinear Multi-Agent Systems with Unknown Input of Leader -- Quadrotor Flight Control Parameters Optimization Based on Chaotic Estimation of Distribution Algorithm -- Stability Analysis on Pattern-Based NN Control Systems -- Observer-Based H∞ Fuzzy Control for T-S Fuzzy Neural Networks with Random Data Losses -- Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation -- An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples -- On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems -- Adaptive NN Control for a Class of Strict-Feedback Discrete-Time Nonlinear Systems with Input Saturation -- NN Based Adaptive Dynamic Surface Control for Fully Actuated AUV -- Bifurcation Control of a Fractional Order Hindmarsh-Rose Neuronal Model -- Adaptive Neural Control for a Class of Large-Scale Pure-Feedback Nonlinear Systems -- Adaptive Synchronization of Uncertain Chaotic Systems via Neural Network-Based Dynamic Surface Control Design -- Adaptive NN Dynamic Surface Control for Stochastic Nonlinear Strict-feedback Systems -- Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays -- Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor -- Global Tracking Control of a Wheeled Mobile Robot Using RBF Neural Networks -- Adaptive NN Tracking Control of Double Inverted Pendulums with Input Saturation -- Identification and Control of PMSM Using Adaptive BP-PID Neural Network -- Adaptive NN Control for a Class of Chemical Reactor Systems -- Application-Oriented Adaptive Neural Networks Design for Ship’s Linear-tracking Control -- Adaptive Synchronization for Stochastic Markovian Jump Neural Networks with Mode-Dependent Delays -- Neural Network H∞ Tracking Control of Nonlinear Systems Using GHJI Method -- Adaptive Neural Control for Uncertain Attitude Dynamics of Near-Space Vehicles with Oblique Wing -- EMG-Based Neural Network Control of an Upper-Limb Power-Assist Exoskeleton Robot -- Neural Network Based Direct Adaptive Backstepping Method for Fin Stabilizer System -- Output Feedback Adaptive Rubost NN Control for a Class of Nonlinear Discrete-Time Systems -- Robust Fin Control for Ship Roll Stabilization by Using Functional-Link Neural Networks -- DSC Approach to Robust Adaptive NN Tracking Control for a Class of SISO Systems -- Integrated Intelligent Control Method of Coke Oven Collector Pressure -- DSC Approach to Adaptive NN Control on a Ship Linear-Path Following -- Observer-Based Adaptive Neural Networks Control of Nonlinear Pure Feedback Systems with Hysteresis -- Active Disturbance Rejection Control on Path Following for Underactuated Ships -- Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces -- Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces -- A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System -- A Novel Ensemble Algorithm for Tumor Classification -- Reducing the Computation Time for BCI Using Improved ICA Algorithms -- An SSVEP-Based BCI with Adaptive Time-Window Length -- A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells -- Seizure Detection in Clinical EEG Based on Entropies and EMD -- Evolutionary Neural Networks, Hybrid Intelligent Systems -- A New Hybrid Intelligent System for Fast Neural Network Training -- EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula -- Resource Scheduling of Cloud with QoS Constraints -- Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfalll Forecasting -- Artificial Fish Swarm Optimization Algorithm Based on Mixed Crossover Strategy -- Data Mining and Knowledge Discovery -- Bias-Guided Random Walk for Network-Based Data Classification -- A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine -- Semi-Supervised Learning Using Random Walk Limiting Probabilities -- A Purity Measure Based Transductive Learning Algorithm -- Novel Class Detection within Classification for Data Streams -- Spatial Pyramid Formulation in Weakly Supervised Manner -- Ship Maneuvering Modeling Based on Fuzzy Rules Extraction and Optimization -- Learning to Create an Extensible Event Ontology Model from Social-Media Streams -- A Revised Inference for Correlated Topic Model -- Other Applications of Neural Networks -- Adaptive Fault Estimation of Coupling Connections for Synchronization of Complex Interconnected Networks -- Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network -- Relearning Probability Neural Network for Monitoring Human Behaviors by Using Wireless Sensor Networks -- Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application -- Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine -- Blind Single Channel Identification Based on Signal Intermittency and Second-Order Statistics -- Constructing Surrogate Model for Optimum Concrete Mixtures Using Neural Network -- Flickr Group Recommendation Based on User-Generated Tags and Social Relations via Topic Model -- Measure Method of Fuzzy Inclusion Relation in Granular Computing -- Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally -- Utilizing Social and Behavioral Neighbors for Personalized Recommendation -- Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem -- Utility-Driven Share Scheduling Algorithm in Hadoop -- Research on Fault Diagnosis of Transmission Line Based on SIFT Feature -- Research of Pneumatic Actuator Fault Diagnosis Method Based on GA Optimized BP Neural Network and Fuzzy Logic -- Gaussian Function Assisted Neural Networks Decoding Algorithm for Turbo Product Codes -- A New BP Neural Network Based Method for Load Harmonic Current Assessment -- Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine -- A Massive Sensor Sampling Data Gathering Optimization Strategy for Concurrent Multi-criteria Target Monitoring Application -- Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions -- Displacement Prediction Model of Landslide Based on Functional Networks -- Target Recognition Methods Based on Multi-neural Network Classifiers Fusion.
Record Nr. UNISA-996465691703316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part I / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 687 p. 268 illus.) : online resource
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Pattern recognition systems
Computer vision
Mathematical models
Algorithms
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Vision
Mathematical Modeling and Industrial Mathematics
ISBN 3-642-39065-X
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Computational Neuroscience and Cognitive Science -- Information Transfer Characteristic in Memristic Neuromorphic Network -- Generation and Analysis of 3D Virtual Neurons Using Genetic Regulatory Network Model -- A Finite-Time Convergent Recurrent Neural Network Based Algorithm for the L Smallest k-Subsets Sum Problem -- Spike Train Pattern and Firing Synchronization in a Model of the Olfactory Mitral Cell -- Efficiency Improvements for Fuzzy Associative Memory -- A Study of Neural Mechanism in Emotion Regulation by Simultaneous Recording of EEG and fMRI Based on ICA -- Emotion Cognitive Reappraisal Research Based on Simultaneous Recording of EEG and BOLD Responses -- Convergence of Chaos Injection-Based Batch Backpropagation Algorithm For Feedforward Neural Networks -- Discovering the Multi-neuronal Firing Patterns Based on a New Binless Spike Trains Measure -- A Study on Dynamic Characteristics of the Hippocampal Two-Dimension Reduced Neuron Model under Current Conductance Changes -- Neural Network Models, Learning Algorithms, Stability and Convergence Analysis -- Overcoming the Local-Minimum Problem in Training Multilayer Perceptrons with the NRAE-MSE Training Method -- Generalized Single-Hidden Layer Feedforward Networks -- An Approach for Designing Neural Cryptography -- Bifurcation of a Discrete-Time Cohen-Grossberg-Type BAM Neural Network with Delays -- Stability Criteria for Uncertain Linear Systems with Time-Varying Delay -- Generalized Function Projective Lag Synchronization between Two Different Neural Networks -- Application of Local Activity Theory of CNN to the Coupled Autocatalator Model -- Passivity Criterion of Stochastic T-S Fuzzy Systems with Time-Varying Delays -- Parallel Computation of a New Data Driven Algorithm for Training Neural Networks -- Stability Analysis of a Class of High Order Fuzzy Cohen-Grossberg Neural Networks with Mixed Delays and Reaction-Diffusion Terms -- A Study on the Randomness Reduction Effect of Extreme Learning Machine with Ridge Regression -- Stability of Nonnegative Periodic Solutions of High-Ordered Neural Networks -- Existence of Periodic Solution for Competitive Neural Networks with Time-Varying and Distributed Delays on Time Scales -- Global Exponential Stability in the Mean Square of Stochastic Cohen-Grossberg Neural Networks with Time-Varying and Continuous Distributed Delays -- A Delay-Partitioning Approach to Stability Analysis of Discrete-Time Recurrent Neural Networks with Randomly Occurred Nonlinearities -- The Universal Approximation Capabilities of Mellin Approximate Identity Neural Networks -- H∞ Filtering of Markovian Jumping Neural Networks with Time Delays -- Convergence Analysis for Feng’s MCA Neural Network Learning Algorithm -- Anti-periodic Solutions for Cohen-Grossberg Neural Networks with Varying-Time Delays and Impulses -- Global Robust Exponential Stability in Lagrange Sense for Interval Delayed Neural Networks -- The Binary Output Units of Neural Network -- Kernel Methods, Large Margin Methods and SVM -- Support Vector Machine with Customized Kernel -- Semi-supervised Kernel Minimum Squared Error Based on Manifold Structure -- Noise Effects on Spatial Pattern Data Classification Using Wavelet Kernel PCA: A Monte Carlo Simulation Study -- SVM-SVDD: A New Method to Solve Data Description Problem with Negative Examples -- Applying Wavelet Packet Decomposition and One-Class Support Vector Machine on Vehicle Acceleration Traces for Road Anomaly Detection -- Aeroengine Turbine Exhaust Gas Temperature Prediction Using Process Support Vector Machines -- The Effect of Lateral Inhibitory Connections in Spatial Architecture Neural Network -- Empirical Mode Decomposition Based LSSVM for Ship Motion Prediction -- Optimization Algorithms / Variational Methods -- Optimal Calculation of Tensor Learning Approaches -- Repeatable Optimization Algorithm Based Discrete PSO for Virtual Network Embedding -- An Energy-Efficient Coverage Optimization Method for the Wireless Sensor Networks Based on Multi-objective Quantum-Inspired Cultural Algorithm -- Artificial Bee Colony Algorithm for Modular Neural Network -- An Intelligent Optimization Algorithm for Power Control in Wireless Communication Systems -- Optimized Neural Network Ensemble by Combination of Particle Swarm Optimization and Differential Evolution -- Feature Analysis, Clustering, Pattern Recognition and Classification -- SOR Based Fuzzy K-Means Clustering Algorithm for Classification of Remotely Sensed Images -- UMPCA Based Feature Extraction for ECG -- Genetic Algorithm Based Neural Network for License Plate Recognition -- Optimizing Fuzzy ARTMAP Ensembles Using Hierarchical Parallel Genetic Algorithms and Negative Correlation -- Improvement of Panchromatic IKONOS Image Classification Based on Structural Neural Network -- Local Feature Coding for Action Recognition Using RGB-D Camera -- Circular Projection for Pattern Recognition -- A Tensor Factorization Based Least Squares Support Tensor Machine for Classification -- A Remote Sensing Image Classification Method Based on Extreme Learning Machine Ensemble -- Model Identification of an Unmanned Helicopter Using ELSSVM -- A Feature Point Clustering Algorithm Based on GG-RNN -- Local Fisher Discriminant Analysis with Locally Linear Embedding Affinity Matrix -- A Facial Expression Recognition Method by Fusing Multiple Sparse Representation Based Classifiers -- Image Data Classification Using Fuzzy c-Means Algorithm with Different Distance Measures -- Global Matching to Enhance the Strength of Local Intensity Order Pattern Feature Descriptor -- An Approach of Power Quality Disturbances Recognition Based on EEMD and Probabilistic Neural Network -- Chinese Text Classification Based on Neural Network -- The Angular Integral of the Radon Transform (aniRT) as a Feature Vector in Categorization of Visual Objects -- A Fast Algorithm for Clustering with MapReduce -- Gaussian Message Propagation in d-order Neighborhood for Gaussian Graphical Model -- Fast Image Classification Algorithms Based on Random Weights Networks -- A Convolutional Neural Network for Pedestrian Gender Recognition -- The Novel Seeding-Based Semi-supervised Fuzzy Clustering Algorithm Inspired by Diffusion Processes -- Fault Detection for Nonlinear Discrete-Time Systems via Deterministic Learning -- Loose Particle Classification Using a New Wavelet Fisher Discriminant Method -- L1 Graph Based on Sparse Coding for Feature Selection -- Vision Modeling and Image Processing -- An Image Segmentation Method for Maize Disease Based on IGA-PCNN -- A Vector Quantization Approach for Image Segmentation Based on SOM Neural Network -- A Fast Approximate Sparse Coding Networks and Application to Image Denoising -- Residual Image Compensations for Enhancement of High-Frequency Components in Face Hallucination -- Recognition Approach of Human Motion with Micro-accelerometer Based on PCA-BP Neural Network Algorithm -- A Stable Dual Purpose Adaptive Algorithm for Subspace Tracking on Noncompact Stiefel Manifold -- Invariant Object Recognition Using Radon and Fourier Transforms -- An Effective Method for Signal Extraction from Residual Image, with Application to Denoising Algorithms -- Visual Attention Computational Model Using Gabor Decomposition and 2D Entropy -- Human Detection Algorithm Based on Bispectrum Analysis for IR-UWB Radar.
Record Nr. UNINA-9910484480603321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
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Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Advances in Neural Networks- ISNN 2013 [[electronic resource] ] : 10th International Symposium on Neural Networks, ISNN 2013, Dalian, China, July 4-6, 2013, Proceedings, Part II / / edited by Chengan Guo, Zeng-Guang Hou, Zhigang Zeng
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XXVI, 653 p. 234 illus.) : online resource
Disciplina 004.0151
Collana Theoretical Computer Science and General Issues
Soggetto topico Computer science
Artificial intelligence
Pattern recognition systems
Computer vision
Mathematical models
Algorithms
Theory of Computation
Artificial Intelligence
Automated Pattern Recognition
Computer Vision
Mathematical Modeling and Industrial Mathematics
ISBN 3-642-39068-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Control, Robotics and Hardware -- Optimal Tracking Control Scheme for Discrete-Time Nonlinear Systems with Approximation Errors -- Distributed Output Feedback Tracking Control of Uncertain Nonlinear Multi-Agent Systems with Unknown Input of Leader -- Quadrotor Flight Control Parameters Optimization Based on Chaotic Estimation of Distribution Algorithm -- Stability Analysis on Pattern-Based NN Control Systems -- Observer-Based H∞ Fuzzy Control for T-S Fuzzy Neural Networks with Random Data Losses -- Robust Adaptive Neural Network Control for Wheeled Inverted Pendulum with Input Saturation -- An Improved Learning Scheme for Extracting T-S Fuzzy Rules from Data Samples -- On the Equivalence between Generalized Ellipsoidal Basis Function Neural Networks and T-S Fuzzy Systems -- Adaptive NN Control for a Class of Strict-Feedback Discrete-Time Nonlinear Systems with Input Saturation -- NN Based Adaptive Dynamic Surface Control for Fully Actuated AUV -- Bifurcation Control of a Fractional Order Hindmarsh-Rose Neuronal Model -- Adaptive Neural Control for a Class of Large-Scale Pure-Feedback Nonlinear Systems -- Adaptive Synchronization of Uncertain Chaotic Systems via Neural Network-Based Dynamic Surface Control Design -- Adaptive NN Dynamic Surface Control for Stochastic Nonlinear Strict-feedback Systems -- Cooperative Tracking of Multiple Agents with Uncertain Nonlinear Dynamics and Fixed Time Delays -- Adaptation Phase-Locked Loop Speed and Neuron PI Torque Control of Permanent Magnet Synchronous Motor -- Global Tracking Control of a Wheeled Mobile Robot Using RBF Neural Networks -- Adaptive NN Tracking Control of Double Inverted Pendulums with Input Saturation -- Identification and Control of PMSM Using Adaptive BP-PID Neural Network -- Adaptive NN Control for a Class of Chemical Reactor Systems -- Application-Oriented Adaptive Neural Networks Design for Ship’s Linear-tracking Control -- Adaptive Synchronization for Stochastic Markovian Jump Neural Networks with Mode-Dependent Delays -- Neural Network H∞ Tracking Control of Nonlinear Systems Using GHJI Method -- Adaptive Neural Control for Uncertain Attitude Dynamics of Near-Space Vehicles with Oblique Wing -- EMG-Based Neural Network Control of an Upper-Limb Power-Assist Exoskeleton Robot -- Neural Network Based Direct Adaptive Backstepping Method for Fin Stabilizer System -- Output Feedback Adaptive Rubost NN Control for a Class of Nonlinear Discrete-Time Systems -- Robust Fin Control for Ship Roll Stabilization by Using Functional-Link Neural Networks -- DSC Approach to Robust Adaptive NN Tracking Control for a Class of SISO Systems -- Integrated Intelligent Control Method of Coke Oven Collector Pressure -- DSC Approach to Adaptive NN Control on a Ship Linear-Path Following -- Observer-Based Adaptive Neural Networks Control of Nonlinear Pure Feedback Systems with Hysteresis -- Active Disturbance Rejection Control on Path Following for Underactuated Ships -- Bioinformatics and Biomedical Engineering, Brain-Like Systems and Brain-Computer Interfaces -- Canonical Correlation Analysis Neural Network for Steady-State Visual Evoked Potentials Based Brain-Computer Interfaces -- A Frequency Boosting Method for Motor Imagery EEG Classification in BCI-FES Rehabilitation Training System -- A Novel Ensemble Algorithm for Tumor Classification -- Reducing the Computation Time for BCI Using Improved ICA Algorithms -- An SSVEP-Based BCI with Adaptive Time-Window Length -- A Novel Geodesic Distance Based Clustering Approach to Delineating Boundaries of Touching Cells -- Seizure Detection in Clinical EEG Based on Entropies and EMD -- Evolutionary Neural Networks, Hybrid Intelligent Systems -- A New Hybrid Intelligent System for Fast Neural Network Training -- EDA-Based Multi-objective Optimization Using Preference Order Ranking and Multivariate Gaussian Copula -- Resource Scheduling of Cloud with QoS Constraints -- Hybird Evolutionary Algorithms for Artificial Neural Network Training in Rainfalll Forecasting -- Artificial Fish Swarm Optimization Algorithm Based on Mixed Crossover Strategy -- Data Mining and Knowledge Discovery -- Bias-Guided Random Walk for Network-Based Data Classification -- A Robust Multi-criteria Recommendation Approach with Preference-Based Similarity and Support Vector Machine -- Semi-Supervised Learning Using Random Walk Limiting Probabilities -- A Purity Measure Based Transductive Learning Algorithm -- Novel Class Detection within Classification for Data Streams -- Spatial Pyramid Formulation in Weakly Supervised Manner -- Ship Maneuvering Modeling Based on Fuzzy Rules Extraction and Optimization -- Learning to Create an Extensible Event Ontology Model from Social-Media Streams -- A Revised Inference for Correlated Topic Model -- Other Applications of Neural Networks -- Adaptive Fault Estimation of Coupling Connections for Synchronization of Complex Interconnected Networks -- Time Series Fault Prediction in Semiconductor Equipment Using Recurrent Neural Network -- Relearning Probability Neural Network for Monitoring Human Behaviors by Using Wireless Sensor Networks -- Different ZFs Leading to Various ZNN Models Illustrated via Online Solution of Time-Varying Underdetermined Systems of Linear Equations with Robotic Application -- Estimation of Indicated Torque for Performance Monitoring in a Diesel Engine -- Blind Single Channel Identification Based on Signal Intermittency and Second-Order Statistics -- Constructing Surrogate Model for Optimum Concrete Mixtures Using Neural Network -- Flickr Group Recommendation Based on User-Generated Tags and Social Relations via Topic Model -- Measure Method of Fuzzy Inclusion Relation in Granular Computing -- Zhang-Gradient Controllers of Z0G0, Z1G0 and Z1G1 Types for Output Tracking of Time-Varying Linear Systems with Control-Singularity Conquered Finally -- Utilizing Social and Behavioral Neighbors for Personalized Recommendation -- Artificial Fish Swarm Algorithm for Two-Dimensional Non-Guillotine Cutting Stock Problem -- Utility-Driven Share Scheduling Algorithm in Hadoop -- Research on Fault Diagnosis of Transmission Line Based on SIFT Feature -- Research of Pneumatic Actuator Fault Diagnosis Method Based on GA Optimized BP Neural Network and Fuzzy Logic -- Gaussian Function Assisted Neural Networks Decoding Algorithm for Turbo Product Codes -- A New BP Neural Network Based Method for Load Harmonic Current Assessment -- Local Prediction of Network Traffic Measurements Data Based on Relevance Vector Machine -- A Massive Sensor Sampling Data Gathering Optimization Strategy for Concurrent Multi-criteria Target Monitoring Application -- Improving the Performance of Neural Networks with Random Forest in Detecting Network Intrusions -- Displacement Prediction Model of Landslide Based on Functional Networks -- Target Recognition Methods Based on Multi-neural Network Classifiers Fusion.
Record Nr. UNINA-9910484370303321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
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