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Adaptive and Natural Computing Algorithms [[electronic resource] ] : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser
| Adaptive and Natural Computing Algorithms [[electronic resource] ] : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 506 p. 154 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Algorithms Pattern recognition systems Bioinformatics Artificial intelligence Theory of Computation Automated Pattern Recognition Computational and Systems Biology Artificial Intelligence |
| ISBN | 3-642-37213-9 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Appropriate Refractoriness and Weight Increment in Incremental Learning.- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation -- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation. . |
| Record Nr. | UNISA-996465580303316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Adaptive and Natural Computing Algorithms : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser
| Adaptive and Natural Computing Algorithms : 11th International Conference, ICANNGA 2013, Lausanne, Switzerland, April 4-6, 2013, Proceedings / / edited by Marco Tomassini, Alberto Antonioni, Fabio Daolio, Pierre Buesser |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 506 p. 154 illus.) |
| Disciplina | 005.1 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Algorithms Pattern recognition systems Bioinformatics Artificial intelligence Theory of Computation Automated Pattern Recognition Computational and Systems Biology Artificial Intelligence |
| ISBN | 3-642-37213-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | On Appropriate Refractoriness and Weight Increment in Incremental Learning.- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation -- Vector Generation and Operations in Neural Networks Computations.- Synaptic Scaling Balances Learning in a Spiking Model of Neocortex.- Can Two Hidden Layers Make a Difference.- Time Series Visualization Using Asymmetric Self-Organizing Map.- Intelligence Approaches Based Direct Torque Control of Induction Motor.- Classifier Ensembles Integration with Self-configuring Genetic Programming Algorithm.- A Multi-objective Proposal Based on Firefly Behaviour for Green Scheduling in Grid Systems.- A Framework for Derivative Free Algorithm Hybridization.- PSO-Tagger: A New Biologically Inspired Approach to the Part-of-Speech Tagging Problem.- Training Support Vector Machines with an Heterogeneous Particle Swarm Optimizer.- Fitness Landscape-Based Characterisation of Nature-Inspired Algorithms.- Evolutionary Generation of Small Oscillating Genetic Networks.- Using Scout Particles to Improve a Predator-Prey Optimizer.- QR-DCA: A New Rough Data Pre-processing Approach for the Dendritic Cell Algorithm.- Convergence Rates of Evolutionary Algorithms for Quadratic Convex Functions with Rank-Deficient Hessian.- The Scale-Up Performance of Genetic Algorithms Applied to Group Decision Making Problems.- Using Genetic Programming to Estimate Performance of Computational Intelligence Models.- Multi-caste Ant Colony Algorithm for the Dynamic Traveling Salesperson Problem.- Generalized Information-Theoretic Measures for Feature Selection.- PCA Based Oblique Decision Rules Generating.- Cardinality Problem in Portfolio Selection.- Full and Semi-supervised k-Means Clustering Optimised by Class Membership Hesitation.- Defining Semantic Meta-hashtags for Twitter Classification.- Reinforcement Learning and Genetic Regulatory Network Reconstruction.- Nonlinear Predictive Control Based on Least Squares Support Vector Machines Hammerstein Models.- Particle Swarm Optimization with Transition Probability for Timetabling Problems.- A Consensus Approach for Combining Multiple Classifiers in Cost-Sensitive Bankruptcy Prediction.- On the Regularization Parameter Selection for Sparse Code Learning in Electrical Source Separation.- Region Based Fuzzy Background Subtraction Using Choquet Integral.- A Robust Fuzzy Adaptive Control Algorithm for a Class of Nonlinear Systems.- Disturbance Measurement Utilization in the Efficient MPC Algorithm with Fuzzy Approximations of Nonlinear Models.- Fast Submanifold Learning with Unsupervised Nearest Neighbors.- Using Carrillo-Lipman Approach to Speed up Simultaneous Alignment and Folding of RNA Sequences.- Large Scale Metabolic Characterization Using Flux Balance Analysis and Data Mining.- Automatic Procedures to Assist in Manual Review of Marine Species Distribution Maps.- Mining the Viability Profiles of Different Breast Cancer: A Soft Computing Perspective.- Image Representation and Processing Using Ternary Quantum Computing.- Firefly-Inspired Synchronization of Sensor Networks with Variable Period Lengths.- Phase Transitions in Fermionic Networks.- New Selection Schemes in a Memetic Algorithm for the Vehicle Routing Problem with Time Windows.- Classification Based on the Self-Organization of Child Patients with Developmental Dysphasia.- Similarity Analysis Based on Bose-Einstein Divergences for Financial Time Series.- Exploratory Text Analysis: Data-Driven versus Human Semantic Similarity Judgments.- Linear Support Vector Machines for Error Correction in Optical Data Transmission -- Windows of Driver Gaze Data: How Early and How Much for Robust Predictions of Driver Intent.- Particle Swarm Optimization for Auto-localization of Nodes in Wireless Sensor Networks.- Effective Rule-Based Multi-label Classification with Learning Classifier Systems.- Evolutionary Strategies Algorithm Based Approaches for the Linear Dynamic System Identification.- A Genetic Algorithm Approach for Minimizing the Number of Columnar Runs in a Column Store Table.- Shadow Detection in Complex Images Using Neural Networks: Application to Wine Grape Seed Segmentation. . |
| Record Nr. | UNINA-9910483197203321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Intelligence and Intelligent Informatics [[electronic resource] ] : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
| Advanced Computational Intelligence and Intelligent Informatics [[electronic resource] ] : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part II / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong |
| Autore | Xin Bin |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (365 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KubotaNaoyuki
ChenKewei DongFangyan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer vision Robotics Machine learning Pattern recognition systems Artificial Intelligence Computer Vision Machine Learning Automated Pattern Recognition |
| ISBN | 981-9975-93-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Pattern Recognition and Computer Vision -- Advanced Control -- Multi-agent Systems -- Robotics. |
| Record Nr. | UNINA-9910760295103321 |
Xin Bin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Computational Intelligence and Intelligent Informatics [[electronic resource] ] : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong
| Advanced Computational Intelligence and Intelligent Informatics [[electronic resource] ] : 8th International Workshop, IWACIII 2023, Beijing, China, November 3–5, 2023, Proceedings, Part I / / edited by Bin Xin, Naoyuki Kubota, Kewei Chen, Fangyan Dong |
| Autore | Xin Bin |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (375 pages) |
| Disciplina | 006.3 |
| Altri autori (Persone) |
KubotaNaoyuki
ChenKewei DongFangyan |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Artificial intelligence
Computer vision Robotics Machine learning Pattern recognition systems Artificial Intelligence Computer Vision Machine Learning Automated Pattern Recognition |
| ISBN | 981-9975-90-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Intelligent Information Processing -- 3D Point Cloud-Based Lithium Battery Surface Defects Detection Using Region Growing Proposal Approach -- 1 Introduction -- 2 Previous Work -- 3 Methodology -- 3.1 Data Acquisition and Preprocessing -- 3.2 Normals Estimation and Segmentation -- 4 Experiments and Discussion -- 5 Conclusion and Future Work -- References -- Reducing Communication Consumption in Collaborative Visual SLAM with Map Point Selection and Efficient Data Compression -- 1 Introduction -- 2 Proposed Method -- 2.1 Mappoints Culling Strategy -- 2.2 Zstd Compression Algorithm -- 3 Experimental Results -- 3.1 Implementation Details -- 3.2 Evaluation Metric -- 3.3 Performance Evaluation -- 4 Conclusion -- References -- Optimal Information Fusion Descriptor Fractional Order Kalman Filter -- 1 Introduction -- 2 Problem Formulation -- 3 Kalman Filter for Single Sensor Generalized Fractional Order System -- 4 Observational Fusion Kalman Filter for Generalized Fractional-Order Systems -- 5 Simulation Study -- 6 Conclusions -- References -- Multi-sensor Data Fusion Algorithm for Indoor Fire Detection Based on Ensemble Learning -- 1 Introduction -- 2 Data Selection and Analysis -- 2.1 Data Seletion -- 2.2 Data Processing and Analysis -- 3 Algorithm Analysis and Evaluation -- 3.1 Architechture of Algorithm -- 3.2 Research Methodology -- 3.3 Evaluation Index -- 3.4 Experimental Results -- 4 Conclusion -- References -- Research on Water Surface Environment Perception Method Based on Visual and Positional Information Fusion -- 1 Introduction -- 2 Swan-Net -- 2.1 Feature Extraction Module -- 2.2 Position Information Feature Encoding -- 2.3 Feature Fusion Module -- 2.4 Loss Function -- 3 Experimental Methods and Analysis of Results -- 3.1 Training Dataset.
3.2 Model Structure Ablation Experiment -- 3.3 Performance Comparison of Different Models -- 4 Conclusion -- References -- Novel Fault Diagnosis Method Integrating D-L2-FDA and AdaBoost -- 1 Introduction -- 2 Related Methods -- 2.1 Fisher Discriminant Analysis -- 2.2 Ensemble Learning Method AdaBoost -- 3 The Proposed Method -- 3.1 D-L2-FDA for Feature Extraction -- 3.2 AdaBoost for Fault Diagnosis -- 4 Cases Study -- 4.1 Tennessee Eastman Process -- 4.2 Faults Selection -- 4.3 Confusion Matrix -- 4.4 Comparison with Other Methods -- 5 Conclusions -- References -- Structural Health Monitoring of Similar Gantry Crane Based on Federated Learning Algorithm -- 1 Introduction -- 2 Monitoring Model and Fault Simulation -- 2.1 Monitoring Model and Damage Detection -- 2.2 Wireless Edge Gateway Data Acquisition System -- 2.3 Design and Measurement of Load Excitation -- 3 Federated Learning Algorithm for Fault Identification of Gantry Crane -- 3.1 Algorithm Overview -- 3.2 Unsupervised Neural Network USAD Algorithm -- 3.3 FedAvg -- 3.4 XGBoost -- 4 Experiment -- 4.1 Federated Learning Based Anomaly Detection -- 4.2 Abnormal Classification of Gantry Cranes -- 5 Conclusion -- References -- Accelerated Lifetime Experiment of Maximum Current Ratio Based on Charge and Discharge Capacity Confinement -- 1 Introduction -- 2 Principle of Maximum Current Rate Acceleration Life Experiment -- 3 Constant Current Rate Acceleration -- 4 Variable Current Rate Acceleration -- 4.1 Fixed Time Length Segmentation Acceleration -- 4.2 The Granularity D is Optimized by the Charge Throughput Constraint -- 5 Conclusion -- References -- Adaptive Design of Uni-Variate Alarm Systems Based on Statistical Distance Measures -- 1 Introduction -- 2 Problem Formulation -- 2.1 Detecting Alarm States -- 2.2 Abrupt Faults -- 3 Safe Designed Alarm System -- 4 Statistical Difference Values. 5 Simulated Example -- 6 Conclusion -- References -- Correlation Analysis Between Insomnia Severity and Depressive Symptoms of College Students Based on Pseudo-Siamese Network -- 1 Introduction -- 2 Methodology -- 2.1 Data -- 2.2 Evaluation Methodology -- 2.3 Statistical Analysis of Correlation Model Based on Pseudo-Siamese Network -- 2.4 Data Processing -- 2.5 Correlation Model Establishment and Test Plan -- 3 Results -- 3.1 General Demographic Characteristics -- 3.2 Mediation Effect Analysis -- 3.3 Physical Activity Impact -- 4 Discussion -- References -- Construction and Research of Pediatric Pulmonary Disease Diagnosis and Treatment Experience Knowledge Graph Based on Professor Wang Lie's Experience -- 1 Introduction -- 2 Materials and Methods -- 2.1 Data Sources -- 2.2 Inclusion Criteria -- 2.3 Exclusion Criteria -- 2.4 Standardized Processing of Data -- 2.5 Knowledge Extraction -- 2.6 Knowledge Graph Construction Method -- 3 Results -- 3.1 Pattern Layer Graph -- 3.2 Data Layer Graph -- 4 Application of Professor Wang's Knowledge Graph for the Diagnosis and Treatment of Pediatric Pulmonary Diseases -- 5 Conclusion -- References -- A Novel SEIAISRD Model to Evaluate Pandemic Spreading -- 1 Introduction -- 2 Methods -- 2.1 The SEIAISRD Model -- 2.2 Estimating the Effective Reproduction Number -- 2.3 Data-Fitting and Sensitivity Analysis -- 3 Results -- 3.1 Model Formulation and Validation -- 3.2 Case Studies for the Representative Countries -- 4 Conclusion -- References -- Keyword-based Research Field Discovery with External Knowledge Aware Hierarchical Co-clustering -- 1 Introduction -- 2 Background -- 2.1 Co-clustering -- 2.2 HICCAM -- 3 Method -- 3.1 Dataset Preparation -- 3.2 Auxiliary Knowledge Preparation -- 3.3 Clustering -- 3.4 Parameter Tuning -- 4 Results and Discussion -- 4.1 Parameter Study -- 4.2 Case Study -- 5 Conclusion. References -- An End-to-End Intent Recognition Method for Combat Drone Swarm -- 1 Introduction -- 2 Related Work -- 3 General Framework of the End-to-End Intent Recognition Method -- 3.1 Problem Definition -- 3.2 Model Architecture -- 3.3 Mapping Method -- 3.4 Feature Extraction Module -- 3.5 Intent Prediction Module -- 4 Experiments -- 4.1 Data and Environment -- 4.2 Evaluation Metric -- 4.3 Baseline -- 4.4 Result -- 5 Conclusion -- References -- An Attention Detection System Based on Gaze Estimation Using Self-supervised Learning -- 1 Introduction -- 2 Framework of Gaze Estimation -- 2.1 Contrastive Learning Pre-training -- 2.2 Gaze Estimation -- 3 Attention Detection System -- 4 Experiments -- 5 Conclusion -- References -- Effects of Pseudo Labels in Pose Estimation Models Using Semi-supervised Learning -- 1 Introduction -- 2 Related Works -- 2.1 Semi-supervised Learning -- 3 Proposal Learning Procedure -- 4 Experiments -- 4.1 Dataset -- 4.2 Parameter Setup -- 4.3 Epochs Normalization -- 4.4 Evaluation -- 5 Experimental Results and Discussions -- 6 Conclusions and Future Works -- References -- Sequential Masking Imitation Learning for Handling Causal Confusion in Autonomous Driving -- 1 Introduction -- 2 Related Work -- 2.1 Pipelines of Autonomous Driving -- 2.2 Confusion in Imitation -- 3 SEMI Methodology -- 3.1 Semantic Encoder -- 3.2 Masking Semantic Objects in Sequential Setting -- 3.3 Behavior Cloning with Imbalanced Dataset -- 4 Experiment -- 4.1 Network Structure -- 4.2 Simulation Environment and Data Collection -- 4.3 Contrast Experiment -- 5 Results -- 5.1 Evaluation Procedure -- 5.2 Discussion -- 5.3 Analysis -- 6 Conclusion -- References -- Proposal of Timestamp-Based Dynamic Context Features for Music Recommendation -- 1 Introduction -- 2 Related Work -- 2.1 Music Recommender System -- 2.2 Context-Aware Music Recommender System. 3 Proposed Method -- 3.1 Dynamic Context Features -- 3.2 Recommendation System -- 4 Experiments -- 4.1 Outline -- 4.2 Results -- 5 Conclusion -- References -- Method to Control Embedded Representation of Piece of Music in Playlists -- 1 Introduction -- 1.1 Notations -- 2 Related Work -- 2.1 Distributed Representation -- 2.2 Music Recommendation -- 3 Proposed Method and Investigation -- 3.1 Investigation on Embeddings -- 3.2 Proposed Method to Reduce Bias -- 4 Conclusion -- References -- Design and Implementation of ANFIS on FPGA and Verification with Class Classification Problem -- 1 Introduction -- 2 Applying AFIS to the Iris Classification -- 3 Hardware Program Design for 16bit ANFIS -- 4 Results and Comparison -- 5 Conclusions and Future Work -- References -- Intelligent Optimization and Decision-Making -- Beacon Localization Method Based on Flower Pollination-Fireworks Algorithm -- 1 Introduction -- 1.1 Wireless Sensor Positioning Technology -- 1.2 Main Research Content -- 2 Beacon Positioning Model -- 2.1 UWB Beacon -- 2.2 Basic Principles of Beacon Positioning -- 2.3 Factors Affecting Beacon Positioning -- 3 RSSI Localization Algorithm Based on Flower Pollination-Fireworks Algorithm -- 3.1 RSSI Localization Algorithm -- 3.2 Fireworks Algorithm -- 3.3 Improved Fireworks Algorithm Based on Flower Pollination -- 3.4 The Algorithm Flow of FP-FWA -- 4 Simulation Experiments and Results Analysis -- 4.1 Preparations Before the Algorithm Experiments -- 4.2 Localization Algorithm Experiment -- 5 Conclusion -- References -- Parameter Identification for Fictitious Play Algorithm in Repeated Games -- 1 Introduction -- 2 Problem Formulation -- 3 The Identification for Parameters in the FP Algorithm -- 3.1 The Identification Algorithm for Assessment Parameter K -- 3.2 The Identification for Irrational 21 -- 4 Conclusions and Future Work -- References. An Improved Hypervolume-Based Evolutionary Algorithm for Many-Objective Optimization. |
| Record Nr. | UNINA-9910760282603321 |
|
Xin Bin
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing [[electronic resource] ] : 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers / / edited by De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa
| Advanced Intelligent Computing [[electronic resource] ] : 7th International Conference, ICIC 2011, Zhengzhou, China, August 11-14, 2011. Revised Selected Papers / / edited by De-Shuang Huang, Yong Gan, Vitoantonio Bevilacqua, Juan Carlos Figueroa |
| Edizione | [1st ed. 2012.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 |
| Descrizione fisica | 1 online resource (XXI, 707 p.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Pattern recognition systems Application software Computer vision Computer science User interfaces (Computer systems) Human-computer interaction Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications Computer Vision Theory of Computation User Interfaces and Human Computer Interaction |
| ISBN | 3-642-24728-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNISA-996465938403316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2012 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Intelligent Computing Theories and Applications [[electronic resource] ] : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010, Proceedings / / edited by De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa
| Advanced Intelligent Computing Theories and Applications [[electronic resource] ] : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010, Proceedings / / edited by De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XIX, 689 p. 268 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Computer engineering Computer networks User interfaces (Computer systems) Human-computer interaction Artificial intelligence Pattern recognition systems Application software Programming Techniques Computer Engineering and Networks User Interfaces and Human Computer Interaction Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications |
| ISBN |
1-280-38823-4
9786613566157 3-642-14922-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Evolutionary Learning and Genetic Algorithms -- Fuzzy Theory and Models -- Fuzzy Systems and Soft Computing -- Particle Swarm Optimization and Niche Technology -- Supervised and Semi-supervised Learning -- Unsupervised and Reinforcement Learning -- Combinatorial and Numerical Optimization -- Systems Biology and Computational Biology -- Neural Computing and Optimization -- Nature Inspired Computing and Optimization -- Knowledge Discovery and Data Mining -- Artificial Life and Artificial Immune Systems -- Intelligent Computing in Image Processing -- Special Session on New Hand-Based Biometric Methods -- Special Session on Recent Advances in Image Segmentation -- Special Session on Theories and Applications in Advanced Intelligent Computing -- Special Session on Search Based Software Engineering -- Special Session on Bio-inspired Computing and Applications -- Special Session on Advance in Dimensionality Reduction Methods and Its Applications -- Special Session on Protein and Gene Bioinformatics: Methods and Applications. |
| Record Nr. | UNISA-996466204103316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Intelligent Computing Theories and Applications [[electronic resource] ] : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010, Proceedings / / edited by De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa
| Advanced Intelligent Computing Theories and Applications [[electronic resource] ] : 6th International Conference on Intelligent Computing, ICIC 2010, Changsha, China, August 18-21, 2010, Proceedings / / edited by De-Shuang Huang, Zhongming Zhao, Vitoantonio Bevilacqua, Juan Carlos Figueroa |
| Edizione | [1st ed. 2010.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 |
| Descrizione fisica | 1 online resource (XIX, 689 p. 268 illus.) |
| Disciplina | 006.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Computer engineering Computer networks User interfaces (Computer systems) Human-computer interaction Artificial intelligence Pattern recognition systems Application software Programming Techniques Computer Engineering and Networks User Interfaces and Human Computer Interaction Artificial Intelligence Automated Pattern Recognition Computer and Information Systems Applications |
| ISBN |
1-280-38823-4
9786613566157 3-642-14922-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Neural Networks -- Evolutionary Learning and Genetic Algorithms -- Fuzzy Theory and Models -- Fuzzy Systems and Soft Computing -- Particle Swarm Optimization and Niche Technology -- Supervised and Semi-supervised Learning -- Unsupervised and Reinforcement Learning -- Combinatorial and Numerical Optimization -- Systems Biology and Computational Biology -- Neural Computing and Optimization -- Nature Inspired Computing and Optimization -- Knowledge Discovery and Data Mining -- Artificial Life and Artificial Immune Systems -- Intelligent Computing in Image Processing -- Special Session on New Hand-Based Biometric Methods -- Special Session on Recent Advances in Image Segmentation -- Special Session on Theories and Applications in Advanced Intelligent Computing -- Special Session on Search Based Software Engineering -- Special Session on Bio-inspired Computing and Applications -- Special Session on Advance in Dimensionality Reduction Methods and Its Applications -- Special Session on Protein and Gene Bioinformatics: Methods and Applications. |
| Record Nr. | UNINA-9910484169103321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2010 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues [[electronic resource] ] : Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings / / edited by De-Shuang Huang, Laurent Heutte, Marco Loog
| Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues [[electronic resource] ] : Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings / / edited by De-Shuang Huang, Laurent Heutte, Marco Loog |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (1401 p.) |
| Disciplina | 006.301 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Computer vision Pattern recognition systems Artificial Intelligence Theory of Computation Computer Vision Automated Pattern Recognition |
| ISBN | 3-540-74171-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological and Quantum Computing -- Intelligent Financial Engineering -- Intelligent Agent and Web Applications -- Intelligent Sensor Networks -- Intelligent Control and Automation -- Intelligent Data Fusion and Security -- Natural Language Processing and Expert Systems -- Intelligent Image/Document Retrievals -- Intelligent Computing in Bioinformatics -- Intelligent Computing in Signal Processing -- Intelligent Computing in Pattern Recognition -- Intelligent Computing in Communication. |
| Record Nr. | UNISA-996465521803316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues : Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings / / edited by De-Shuang Huang, Laurent Heutte, Marco Loog
| Advanced Intelligent Computing Theories and Applications - With Aspects of Theoretical and Methodological Issues : Third International Conference on Intelligent Computing, ICIC 2007 Qingdao, China, August 21-24, 2007 Proceedings / / edited by De-Shuang Huang, Laurent Heutte, Marco Loog |
| Edizione | [1st ed. 2007.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 |
| Descrizione fisica | 1 online resource (1401 p.) |
| Disciplina | 006.301 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Artificial intelligence
Computer science Algorithms Computer vision Pattern recognition systems Artificial Intelligence Theory of Computation Computer Vision Automated Pattern Recognition |
| ISBN | 3-540-74171-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological and Quantum Computing -- Intelligent Financial Engineering -- Intelligent Agent and Web Applications -- Intelligent Sensor Networks -- Intelligent Control and Automation -- Intelligent Data Fusion and Security -- Natural Language Processing and Expert Systems -- Intelligent Image/Document Retrievals -- Intelligent Computing in Bioinformatics -- Intelligent Computing in Signal Processing -- Intelligent Computing in Pattern Recognition -- Intelligent Computing in Communication. |
| Record Nr. | UNINA-9910484980703321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2007 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues [[electronic resource] ] : Fourth International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings / / edited by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo
| Advanced Intelligent Computing Theories and Applications. With Aspects of Theoretical and Methodological Issues [[electronic resource] ] : Fourth International Conference on Intelligent Computing, ICIC 2008 Shanghai, China, September 15-18, 2008 Proceedings / / edited by De-Shuang Huang, Donald C. Wunsch, Daniel S. Levine, Kang-Hyun Jo |
| Edizione | [1st ed. 2008.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 |
| Descrizione fisica | 1 online resource (XXVII, 1273 p.) |
| Disciplina | 006.301 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer programming
Application software Pattern recognition systems Computer science Algorithms Artificial intelligence Programming Techniques Computer and Information Systems Applications Automated Pattern Recognition Theory of Computation Artificial Intelligence |
| ISBN | 3-540-87442-9 |
| Classificazione |
54.72
DAT 500f DAT 700f SS 4800 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Biological and Quantum Computing -- Intelligent Computing in Bioinformatics -- Computational Genomics and Proteomics -- Intelligent Computing in Signal Processing -- Intelligent Computing in Pattern Recognition -- Intelligent Computing in Communication -- Intelligent Agent and Web Applications -- Intelligent Fault Diagnosis -- Intelligent Control and Automation -- Intelligent Data Fusion and Security -- Intelligent Prediction and Time Series Analysis -- Natural Language Processing and Expert Systems -- Intelligent Image/Document Retrievals -- Network-Based Intelligence and Automation -- Intelligent Robot Systems Based on Vision Technology -- Computational Intelligence for Image Analysis. |
| Record Nr. | UNISA-996465522903316 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2008 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Soggetto topico
-
Automated Pattern Recognition
(596)
- Pattern recognition systems (596)
- Artificial Intelligence (424)
- Artificial intelligence (424)
- Computer science (304)