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Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
| Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 929.605 |
| Collana | IFIP Advances in Information and Communication Technology Ser. |
| Soggetto topico | Cognition |
| ISBN | 3-031-14903-3 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote and Invited Talks -- Tactile Situations: A Basis for Manual Intelligence and Learning -- Brain-like Perception and Cognition: Challenges and Thinking -- Dealing with Concept Drifts in Data Streams -- A Novel Bionic Imaging and Its Intelligent Processing -- Skill Learning in Dynamic Scene for Robot Operations -- Emerging Artificial Intelligence Technologies in Healthcare -- Memory Cognition -- Contents -- Brain Cognition -- Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 The Allen Mouse Brain Atlas -- 3.2 The Clustered Hierarchical Circuits -- 3.3 The Neuron Model -- 3.4 Coping the Biological Circuits to Artificial Ones -- 3.5 The Network Learning -- 4 Experiments -- 4.1 The Clustered Brain Regions -- 4.2 The Network Topology from Biological Mouse Brain -- 4.3 Results with Circuit-46 and Random Networks -- 4.4 Result Comparison with Different Algorithms -- 5 Discussion -- References -- DNM-SNN: Spiking Neural Network Based on Dual Network Model -- 1 Introduction -- 2 Methods -- 2.1 Traditional SNN Supervised Learning Algorithm Framework and Its Limitations -- 2.2 Proposed Dual-Model Spike Network Supervised Learning Algorithm -- 2.3 Proposed Multi-channel Mix Module Prediction Method -- 2.4 The Chosen Network Model -- 2.5 Selection of Spiking Neurons -- 3 Experimental Results -- 3.1 Single- and Dual-Model Resnet11 Performance on the CIFAR-10 Dataset -- 3.2 Related Work Comparison -- 4 Conclusion -- References -- A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection -- 1 Introduction -- 2 Background -- 2.1 Modularity -- 2.2 Normalized Mutual Information -- 3 Description of MA-ASA -- 3.1 Segmented Label Propagation -- 3.2 Selection and Crossover Operation.
3.3 Mutation Operation -- 3.4 Improved Simulated Annealing -- 3.5 Framework of MA-ASA -- 4 Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- The Model of an Explanation of Self and Self-awareness Based on Need Evolution -- 1 Background and Significance -- 2 The Nature and Needs of Life -- 2.1 The Nature and Representation of the Self -- 2.2 The Primary Needs and Principle of Life -- 3 Evolution and Representation of the Needs of Life -- 3.1 Needs Representation and Original Self-evolution in Single-Celled and Complex Organisms -- 3.2 Representation Needs and Self-awareness of Human -- 4 Self-model Based on the Evolution of Needs -- 4.1 Iterative Model of Needs Evolution -- 4.2 Evolutionary Model of the Self -- 5 Dicussion and Conclusion -- References -- Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron -- 1 Introduction -- 2 Proposed Method -- 2.1 Leaky Integrate-and-Fire Model -- 2.2 Design of LIF Circuit -- 2.3 Correspondence Between Network and Circuit -- 2.4 Processing of the DVS128 Gesture Dataset -- 2.5 Network Formulation -- 3 Performance Analysis and Discussion -- 4 Conclusion -- References -- Machine Learning -- A Deception Jamming Discrimination Method Based on Semi-supervised Learning with Generative Adversarial Networks -- 1 Introduction -- 2 Signal Model -- 2.1 The Construction of a Multistatic Radar System Model -- 2.2 Generation of Echo Data -- 3 The Discrimination Network Based on SGAN -- 4 Simulation -- 4.1 Simulation Analysis -- 4.2 Simulation Results with Different PRI -- 4.3 The Comparison of Different Discrimination Methods -- 5 Conclusion -- References -- Fast Node Selection of Networked Radar Based on Transfer Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 2.1 Radar Node Selection -- 2.2 Reinforcement Learning. 2.3 Transfer Learning -- 3 Methodology -- 3.1 Revisiting of Monte Carlo Tree -- 3.2 The Lower Bound of Cramero (CLRB) -- 3.3 Selection Flow -- 3.4 Variable-Number Node Search -- 3.5 Transfer Reinforcement Learning -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning -- 1 Introduction -- 2 Approach -- 2.1 Anchor Boxes Generation -- 2.2 Adversarial Complementary Learning -- 2.3 Application -- 2.4 Pseudo Mask Generation -- 3 Experiments -- 3.1 Datasets and Evaluated Metric -- 3.2 Classification Network and Hyperparameter Settings -- 3.3 Segmentation Network and Test Results -- 4 Conclusions -- References -- Weakly Supervised Whole Cardiac Segmentation via Attentional CNN -- 1 Introduction -- 2 Method -- 2.1 Pseudo Masks -- 2.2 Deep U-Net Network -- 2.3 Improved Weighted Cross-Entropy Loss -- 3 Experimental and Results -- 3.1 Datasets and Implementation Details -- 3.2 Patch Selection -- 3.3 Experimental Results -- 3.4 Ablation Experiments -- 3.5 Generality Experiments -- 4 Conclusion -- References -- Noisy Label Learning in Deep Learning -- 1 Introduction -- 2 Preliminary Knowledge -- 2.1 Noisy Labels in Deep Learning -- 2.2 Noisy Label Dataset and Noisy Label Types -- 2.3 Analysis the Problems in Noisy Label Learning -- 3 Existing Methods of Noisy Label Learning -- 3.1 Full-Equal-Using Method -- 3.2 Clean-Based Method -- 3.3 Full-Differ-Using Method -- 4 Problems in Existing Methods -- 4.1 Difference Between Synthetic Dataset and the Actual Dataset -- 4.2 Problems with Existing Methods -- 4.3 Possible Solutions -- 5 Conclusion -- References -- Accelerating Deep Convolutional Neural Network Inference Based on OpenCL -- 1 Introduction -- 2 Related Work -- 3 Design, Implementation and Optimization of CNN on OpenCL. 3.1 Parallel Strategy for Convolution Layer -- 3.2 Parallel Strategy for Other Layers -- 3.3 Kernel Fusion and Increasing Global Task -- 4 Experiment and Evaluations -- 4.1 Experimental Environment -- 4.2 Performance Comparison of Depthwise Convolution Operations -- 4.3 Comparison of Parallel DCNN Inference Performance -- 4.4 Performance Comparison of Different Hardware Environments -- 5 Conclusions -- References -- A Simple Approach to the Multiple Source Identification of Information Diffusion -- 1 Introduction -- 2 Related Works and Motivations -- 2.1 Related Methods -- 2.2 Motivations -- 3 Preliminaries and Problem Formulation -- 3.1 Susceptible-Infected (SI) Model -- 3.2 Problem Formulation -- 4 KST Method -- 4.1 Analysis -- 4.2 KST Method -- 5 KST-Improved Method -- 6 Evaluation -- 6.1 Experiments Settings -- 6.2 Accuracy of Identifying Sources -- 7 Conclusion -- References -- Data Intelligence -- A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy -- 1 Introduction -- 2 The Proposed Method -- 2.1 Directed Search Sampling and Guiding Solutions -- 2.2 Environmental Selection -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples -- 1 Introduction -- 2 Proposed Method -- 2.1 Selection of Auxiliary Samples -- 2.2 The Structure of TBN-SPAS -- 3 Implementation Process of TBN-MERS -- 4 Experiment and Analysis -- 4.1 Experimental Settings -- 4.2 The Role of Auxiliary Branch -- 4.3 Comparison with Existing Methods -- 5 Conclusions -- References -- Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification -- 1 Introduction -- 2 Augmentation Based Synthetic Sampling Method -- 2.1 Data Augmentation (DA) -- 2.2 Notations -- 2.3 Proposed Method. 3 Experiment Settings and Result Analysis -- 3.1 Datasets -- 3.2 Evaluation Metric -- 3.3 Experimental Results -- 4 Integration of Augmentation Based Synthetic Sampling Method and Ensemble Techniques -- 5 Conclusion -- References -- Language Cognition -- BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Text Encoder and Image Encoder -- 3.2 Multi-stage Generative Adversarial Networks -- 4 Experiments -- 5 Conclusion -- References -- Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies -- 1 Introduction -- 2 Background -- 2.1 Definition of Recommendation Problem -- 2.2 Multi-objective Optimization Problem -- 2.3 Probs -- 3 Proposed Algorithm -- 3.1 Framework of MOEA-EIMA -- 3.2 Individual Encoding and Initialization -- 3.3 The Two Objectives -- 3.4 Genetic Operators -- 4 Experiments and Analysis -- 4.1 Experiment Settings -- 4.2 Experimental Results -- 5 Conclusions -- References -- Improved Transformer-Based Implicit Latent GAN with Multi-headed Self-attention for Unconditional Text Generation -- 1 Introduction -- 1.1 Generative Adversarial Network (GAN) for Unconditional Text Generation -- 1.2 Research Objective and Content -- 2 Related Works -- 3 Model Architecture -- 3.1 Overall Framework -- 3.2 Multi-headed Self Attention Based Generator -- 3.3 Training Details -- 4 Experiments -- 4.1 Evaluation Metrics -- 4.2 Microsoft COCO: Common Objects in Context -- 4.3 Ablation Experiment -- 5 Conclusion and Future Work -- References -- Learning a Typhoon Bayesian Network Structure from Natural Language Reports -- 1 Introduction -- 2 Related Works -- 3 The Framework of Learning Typhoon Bayesian Network Structures -- 3.1 State Extraction Model -- 3.2 Standardize State Information -- 3.3 Causal Relationship Extraction. 3.4 Generate Typhoon Bayesian Network. |
| Record Nr. | UNISA-996495562503316 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang
| Intelligence Science IV : 5th IFIP TC 12 International Conference, ICIS 2022, Xi'an, China, October 28-31, 2022, proceedings / / edited by Zhongzhi Shi, Yaochu Jin, Xiangrong Zhang |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (480 pages) |
| Disciplina | 929.605 |
| Collana | IFIP Advances in Information and Communication Technology Ser. |
| Soggetto topico | Cognition |
| ISBN | 3-031-14903-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Abstracts of Keynote and Invited Talks -- Tactile Situations: A Basis for Manual Intelligence and Learning -- Brain-like Perception and Cognition: Challenges and Thinking -- Dealing with Concept Drifts in Data Streams -- A Novel Bionic Imaging and Its Intelligent Processing -- Skill Learning in Dynamic Scene for Robot Operations -- Emerging Artificial Intelligence Technologies in Healthcare -- Memory Cognition -- Contents -- Brain Cognition -- Mouse-Brain Topology Improved Evolutionary Neural Network for Efficient Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Methods -- 3.1 The Allen Mouse Brain Atlas -- 3.2 The Clustered Hierarchical Circuits -- 3.3 The Neuron Model -- 3.4 Coping the Biological Circuits to Artificial Ones -- 3.5 The Network Learning -- 4 Experiments -- 4.1 The Clustered Brain Regions -- 4.2 The Network Topology from Biological Mouse Brain -- 4.3 Results with Circuit-46 and Random Networks -- 4.4 Result Comparison with Different Algorithms -- 5 Discussion -- References -- DNM-SNN: Spiking Neural Network Based on Dual Network Model -- 1 Introduction -- 2 Methods -- 2.1 Traditional SNN Supervised Learning Algorithm Framework and Its Limitations -- 2.2 Proposed Dual-Model Spike Network Supervised Learning Algorithm -- 2.3 Proposed Multi-channel Mix Module Prediction Method -- 2.4 The Chosen Network Model -- 2.5 Selection of Spiking Neurons -- 3 Experimental Results -- 3.1 Single- and Dual-Model Resnet11 Performance on the CIFAR-10 Dataset -- 3.2 Related Work Comparison -- 4 Conclusion -- References -- A Memetic Algorithm Based on Adaptive Simulated Annealing for Community Detection -- 1 Introduction -- 2 Background -- 2.1 Modularity -- 2.2 Normalized Mutual Information -- 3 Description of MA-ASA -- 3.1 Segmented Label Propagation -- 3.2 Selection and Crossover Operation.
3.3 Mutation Operation -- 3.4 Improved Simulated Annealing -- 3.5 Framework of MA-ASA -- 4 Experiments and Analysis -- 4.1 Experimental Settings -- 4.2 Experimental Results and Analysis -- 5 Conclusion -- References -- The Model of an Explanation of Self and Self-awareness Based on Need Evolution -- 1 Background and Significance -- 2 The Nature and Needs of Life -- 2.1 The Nature and Representation of the Self -- 2.2 The Primary Needs and Principle of Life -- 3 Evolution and Representation of the Needs of Life -- 3.1 Needs Representation and Original Self-evolution in Single-Celled and Complex Organisms -- 3.2 Representation Needs and Self-awareness of Human -- 4 Self-model Based on the Evolution of Needs -- 4.1 Iterative Model of Needs Evolution -- 4.2 Evolutionary Model of the Self -- 5 Dicussion and Conclusion -- References -- Spiking Neuron Network Based on VTEAM Memristor and MOSFET-LIF Neuron -- 1 Introduction -- 2 Proposed Method -- 2.1 Leaky Integrate-and-Fire Model -- 2.2 Design of LIF Circuit -- 2.3 Correspondence Between Network and Circuit -- 2.4 Processing of the DVS128 Gesture Dataset -- 2.5 Network Formulation -- 3 Performance Analysis and Discussion -- 4 Conclusion -- References -- Machine Learning -- A Deception Jamming Discrimination Method Based on Semi-supervised Learning with Generative Adversarial Networks -- 1 Introduction -- 2 Signal Model -- 2.1 The Construction of a Multistatic Radar System Model -- 2.2 Generation of Echo Data -- 3 The Discrimination Network Based on SGAN -- 4 Simulation -- 4.1 Simulation Analysis -- 4.2 Simulation Results with Different PRI -- 4.3 The Comparison of Different Discrimination Methods -- 5 Conclusion -- References -- Fast Node Selection of Networked Radar Based on Transfer Reinforcement Learning -- 1 Introduction -- 2 Related Work -- 2.1 Radar Node Selection -- 2.2 Reinforcement Learning. 2.3 Transfer Learning -- 3 Methodology -- 3.1 Revisiting of Monte Carlo Tree -- 3.2 The Lower Bound of Cramero (CLRB) -- 3.3 Selection Flow -- 3.4 Variable-Number Node Search -- 3.5 Transfer Reinforcement Learning -- 4 Experiments and Analysis -- 5 Conclusion -- References -- Weakly Supervised Liver Tumor Segmentation Based on Anchor Box and Adversarial Complementary Learning -- 1 Introduction -- 2 Approach -- 2.1 Anchor Boxes Generation -- 2.2 Adversarial Complementary Learning -- 2.3 Application -- 2.4 Pseudo Mask Generation -- 3 Experiments -- 3.1 Datasets and Evaluated Metric -- 3.2 Classification Network and Hyperparameter Settings -- 3.3 Segmentation Network and Test Results -- 4 Conclusions -- References -- Weakly Supervised Whole Cardiac Segmentation via Attentional CNN -- 1 Introduction -- 2 Method -- 2.1 Pseudo Masks -- 2.2 Deep U-Net Network -- 2.3 Improved Weighted Cross-Entropy Loss -- 3 Experimental and Results -- 3.1 Datasets and Implementation Details -- 3.2 Patch Selection -- 3.3 Experimental Results -- 3.4 Ablation Experiments -- 3.5 Generality Experiments -- 4 Conclusion -- References -- Noisy Label Learning in Deep Learning -- 1 Introduction -- 2 Preliminary Knowledge -- 2.1 Noisy Labels in Deep Learning -- 2.2 Noisy Label Dataset and Noisy Label Types -- 2.3 Analysis the Problems in Noisy Label Learning -- 3 Existing Methods of Noisy Label Learning -- 3.1 Full-Equal-Using Method -- 3.2 Clean-Based Method -- 3.3 Full-Differ-Using Method -- 4 Problems in Existing Methods -- 4.1 Difference Between Synthetic Dataset and the Actual Dataset -- 4.2 Problems with Existing Methods -- 4.3 Possible Solutions -- 5 Conclusion -- References -- Accelerating Deep Convolutional Neural Network Inference Based on OpenCL -- 1 Introduction -- 2 Related Work -- 3 Design, Implementation and Optimization of CNN on OpenCL. 3.1 Parallel Strategy for Convolution Layer -- 3.2 Parallel Strategy for Other Layers -- 3.3 Kernel Fusion and Increasing Global Task -- 4 Experiment and Evaluations -- 4.1 Experimental Environment -- 4.2 Performance Comparison of Depthwise Convolution Operations -- 4.3 Comparison of Parallel DCNN Inference Performance -- 4.4 Performance Comparison of Different Hardware Environments -- 5 Conclusions -- References -- A Simple Approach to the Multiple Source Identification of Information Diffusion -- 1 Introduction -- 2 Related Works and Motivations -- 2.1 Related Methods -- 2.2 Motivations -- 3 Preliminaries and Problem Formulation -- 3.1 Susceptible-Infected (SI) Model -- 3.2 Problem Formulation -- 4 KST Method -- 4.1 Analysis -- 4.2 KST Method -- 5 KST-Improved Method -- 6 Evaluation -- 6.1 Experiments Settings -- 6.2 Accuracy of Identifying Sources -- 7 Conclusion -- References -- Data Intelligence -- A Directed Search Many Objective Optimization Algorithm Embodied with Kernel Clustering Strategy -- 1 Introduction -- 2 The Proposed Method -- 2.1 Directed Search Sampling and Guiding Solutions -- 2.2 Environmental Selection -- 3 Experimental Results and Analysis -- 4 Conclusion -- References -- A Two-Branch Neural Network Based on Superpixel Segmentation and Auxiliary Samples -- 1 Introduction -- 2 Proposed Method -- 2.1 Selection of Auxiliary Samples -- 2.2 The Structure of TBN-SPAS -- 3 Implementation Process of TBN-MERS -- 4 Experiment and Analysis -- 4.1 Experimental Settings -- 4.2 The Role of Auxiliary Branch -- 4.3 Comparison with Existing Methods -- 5 Conclusions -- References -- Augmentation Based Synthetic Sampling and Ensemble Techniques for Imbalanced Data Classification -- 1 Introduction -- 2 Augmentation Based Synthetic Sampling Method -- 2.1 Data Augmentation (DA) -- 2.2 Notations -- 2.3 Proposed Method. 3 Experiment Settings and Result Analysis -- 3.1 Datasets -- 3.2 Evaluation Metric -- 3.3 Experimental Results -- 4 Integration of Augmentation Based Synthetic Sampling Method and Ensemble Techniques -- 5 Conclusion -- References -- Language Cognition -- BA-GAN: Bidirectional Attention Generation Adversarial Network for Text-to-Image Synthesis -- 1 Introduction -- 2 Related Work -- 3 Our Model -- 3.1 Text Encoder and Image Encoder -- 3.2 Multi-stage Generative Adversarial Networks -- 4 Experiments -- 5 Conclusion -- References -- Personalized Recommendation Using Extreme Individual Guided and Adaptive Strategies -- 1 Introduction -- 2 Background -- 2.1 Definition of Recommendation Problem -- 2.2 Multi-objective Optimization Problem -- 2.3 Probs -- 3 Proposed Algorithm -- 3.1 Framework of MOEA-EIMA -- 3.2 Individual Encoding and Initialization -- 3.3 The Two Objectives -- 3.4 Genetic Operators -- 4 Experiments and Analysis -- 4.1 Experiment Settings -- 4.2 Experimental Results -- 5 Conclusions -- References -- Improved Transformer-Based Implicit Latent GAN with Multi-headed Self-attention for Unconditional Text Generation -- 1 Introduction -- 1.1 Generative Adversarial Network (GAN) for Unconditional Text Generation -- 1.2 Research Objective and Content -- 2 Related Works -- 3 Model Architecture -- 3.1 Overall Framework -- 3.2 Multi-headed Self Attention Based Generator -- 3.3 Training Details -- 4 Experiments -- 4.1 Evaluation Metrics -- 4.2 Microsoft COCO: Common Objects in Context -- 4.3 Ablation Experiment -- 5 Conclusion and Future Work -- References -- Learning a Typhoon Bayesian Network Structure from Natural Language Reports -- 1 Introduction -- 2 Related Works -- 3 The Framework of Learning Typhoon Bayesian Network Structures -- 3.1 State Extraction Model -- 3.2 Standardize State Information -- 3.3 Causal Relationship Extraction. 3.4 Generate Typhoon Bayesian Network. |
| Record Nr. | UNINA-9910619279303321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Rescheduling Under Disruptions in Manufacturing Systems [[electronic resource] ] : Models and Algorithms / / by Dujuan Wang, Yunqiang Yin, Yaochu Jin
| Rescheduling Under Disruptions in Manufacturing Systems [[electronic resource] ] : Models and Algorithms / / by Dujuan Wang, Yunqiang Yin, Yaochu Jin |
| Autore | Wang Dujuan |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (155 pages) |
| Disciplina | 658.51 |
| Collana | Uncertainty and Operations Research |
| Soggetto topico |
Economic theory
Social sciences Economic Theory/Quantitative Economics/Mathematical Methods Methodology of the Social Sciences |
| ISBN | 981-15-3528-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1 Introduction -- Chapter 2 Rescheduling on identical parallel machines in the presence of machine breakdowns -- Chapter 3 Parallel-machine rescheduling with job rejection in the presence of job unavailability -- Chapter 4 Rescheduling with controllable processing times and job rejection in the presence of new arrival jobs and deterioration eect -- Chapter 5 Rescheduling with controllable processing times and preventive maintenance in the presence of new arrival jobs and deterioration eect -- Chapter 6 A knowledge-based evolutionary proactive scheduling approach in the presence of ma-chine breakdown and deterioration eect. |
| Record Nr. | UNINA-9910409706103321 |
Wang Dujuan
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| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulated Evolution and Learning [[electronic resource] ] : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / / edited by Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
| Simulated Evolution and Learning [[electronic resource] ] : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / / edited by Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXII, 1041 p. 317 illus.) |
| Disciplina | 003.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Algorithms Computer networks Computer simulation Theory of Computation Artificial Intelligence Models of Computation Computer Communication Networks Computer Modelling |
| ISBN | 3-319-68759-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective Capacitated Arc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based on three-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSO variants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization. . |
| Record Nr. | UNISA-996465309603316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulated Evolution and Learning [[electronic resource] ] : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / / edited by Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin
| Simulated Evolution and Learning [[electronic resource] ] : 11th International Conference, SEAL 2017, Shenzhen, China, November 10–13, 2017, Proceedings / / edited by Yuhui Shi, Kay Chen Tan, Mengjie Zhang, Ke Tang, Xiaodong Li, Qingfu Zhang, Ying Tan, Martin Middendorf, Yaochu Jin |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XXII, 1041 p. 317 illus.) |
| Disciplina | 003.3 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Algorithms Computer networks Computer simulation Theory of Computation Artificial Intelligence Models of Computation Computer Communication Networks Computer Modelling |
| ISBN | 3-319-68759-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary Optimisation -- Maximum Likelihood Estimation based on Random Subspace EDA: Application to Extrasolar Planet Detection -- Evolutionary Games Network Reconstruction by Memetic Algorithm with l1/2 Regularization -- A Simple Brain Storm Optimization Algorithm via Visualizing Confidence Intervals -- Simulated Annealing with a Time-slot Heuristic for Ready-mix Concrete Delivery -- A Sequential Learnable Evolutionary Algorithm with a Novel Knowledge Base Generation Method -- Using Parallel Strategies to Speed Up Pareto Local Search -- Differential evolution based hyper-heuristic for the flexible job-shop scheduling problem with fuzzy processing time -- ACO-iRBA: A Hybrid Approach to TSPN with Overlapping Neighborhoods -- An Evolutionary Algorithm with A New Coding Scheme for Multi-objective Portfolio Optimization -- Exact Approaches for the Travelling Thief Problem -- On the Use of Dynamic Reference Points in HypE -- Multi-Factorial Evolutionary Algorithm Based on M2M Decomposition -- An Efficient Local Search Algorithm for Minimum Weighted Vertex Cover on Massive Graphs -- Interactive Genetic Algorithm with Group Intelligence Articulated Possibilistic Condition Preference Model -- GP-Based Approach to Comprehensive Quality-Aware Automated Semantic Web Service Composition -- Matrix Factorization based Benchmark Set Analysis: A Case Study on HyFlex.-Learning to Describe Collective Search Behavior of Evolutionary Algorithms in Solution Space -- Evolutionary Multiobjective Optimisation -- A Hierarchical Decomposition-based Evolutionary Many-objective Algorithm -- Adjusting Parallel Coordinates for Investigating Multi-Objective Search -- An Elite Archive-based MOEA/D Algorithm -- A constraint partitioning method based on minimax strategy for constrained multiobjective optimization problems -- A Fast Objective Reduction Algorithm based on Dominance Structure for Many Objective Optimization -- A memetic algorithm based on decomposition and extended search for Multi-Objective Capacitated Arc Routing Problem -- Improvement of reference points for decomposition based multi-objective evolutionary algorithms -- Multi-Objective Evolutionary Optimization for Autonomous Intersection Management -- Study of an adaptive control of aggregate functions in MOEA/D -- Use of Inverted Triangular Weight Vectors in Decomposition-Based Many-Objective Algorithms -- Surrogate Model Assisted Multi-Objective Differential Evolution Algorithm for Performance Optimization at Software Architecture Level -- Normalized Ranking Based Particle Swarm Optimizer for Many Objective Optimization -- Evolutionary Machine Learning -- A Study on Pre-Training Deep Neural Networks Using Particle Swarm Optimisation -- Simple Linkage Identification Using Genetic Clustering -- Learning of Sparse Fuzzy Cognitive Maps Using Evolutionary Algorithm with Lasso Initialization -- A Bayesian Restarting Approach to Algorithm Selection -- Evolutionary Learning based Iterated Local Search for Google Machine Reassignment Problems -- Geometric Semantic Genetic Programming with Perpendicular Crossover and Random Segment Mutation for Symbolic Regression -- Constrained Dimensionally Aware Genetic Programming for Evolving Interpretable Dispatching Rules in Dynamic Job Shop Scheduling -- Visualisation and Optimisation of Learning Classifier Systems for Multiple Domain Learning -- Adaptive Memetic Algorithm Based Evolutionary Multi-tasking Single-objective Optimization -- Effective Policy Gradient Search for Reinforcement Learning through NEAT based Feature Extraction -- Generalized Hybrid Evolutionary Algorithm Framework with a Mutation Operator Requiring no Adaptation -- A Multitree Genetic Programming Representation for Automatically Evolving Texture Image Descriptors -- Theoretical Developments -- Running-time Analysis of Particle Swarm Optimization with a Single Particle Based on Average Gain -- Evolutionary Computation Theory for Remote Sensing Image Clustering: A Survey -- Feature Selection and Dimensionality Reduction -- New Representations in Genetic Programming for Feature Construction in k-means Clustering -- Transductive Transfer Learning in Genetic Programming for Document Classification -- Automatic Feature Construction for Network Intrusion Detection -- A Feature Subset Evaluation Method based on Multi-objective Optimization -- A Hybrid GA-GP Method for Feature Reduction in Classification -- Kernel Construction and Feature Subset Selection in Support Vector Machines -- KW-Race and Fast KW-Race: Racing-based Frameworks for Tuning Parameters of Evolutionary Algorithms on Black-box Optimization Problems -- Dynamic and Uncertain Environments -- A Probabilistic Learning Algorithm for the Shortest Path Problem -- A first-order difference model-based evolutionary dynamic multiobjective optimization -- A Construction Graph-based Evolutionary Algorithm For Traveling Salesman Problem -- Real-world Applications -- Bi-objective water cycle algorithm for solving remanufacturing rescheduling problem -- A New Method for Constructing Ensemble Classifier in Privacy-Preserving Distributed Environment -- Greedy based Pareto Local Search for Bi-objective Robust Airport Gate Assignment Problem -- Multi-neighbourhood Great Deluge for Google Machine Reassignment Problem -- Evolutionary Optimization of Airport Security Inspection Allocation -- Evolving Directional Changes Trading Strategies with a New Event-based Indicator -- Constrained Differential Evolution for Cost and Energy Efficiency Optimization in 5G Wireless Networks -- Evolutionary Computation to Determine Product Builds in Open Pit Mining -- An Evolutionary Vulnerability Detection Method for HFSWR Ship Tracking Algorithm -- Genetic Programming for Lifetime Maximization in Wireless Sensor Networks with Mobile Sink -- Unsupervised Change Detection for Remote Sensing Images Based on Principal Component Analysis and Differential Evolution -- Parallel particle swarm optimization for community detection in large-scale networks -- Multi-objective memetic algorithm based on three-dimentional request prediction for dynamic pickup-and-delivery problem with time windows -- Optimization of Spectrum-Energy Efficiency in Heterogeneous Communication Network -- Large scale WSN deployment based on an improved cooperative coevolutionary PSO with global differential grouping -- Adaptive Systems -- Learning Fuzzy Cognitive Maps Using a Genetic Algorithm with Decision-making Trial and Evaluation -- Dynamic and Adaptive Threshold for DNN Compression from Scratch -- Cooperative Design of Two Level Fuzzy Logic Controllers for Medium Access Control in Wireless Body Area Networks -- Statistical Analysis of Social Coding in GitHub Hypernetwork -- Swarm Intelligence -- Sparse Restricted Boltzmann Machine Based on Multiobjective Optimization -- A Knee Point Driven Particle Swarm Optimization Algorithm for Sparse Reconstruction -- Multivariant optimization algorithm with bimodal-gauss -- Enhanced Comprehensive Learning Particle Swarm Optimization with Exemplar Evolution -- Recommending PSO variants using meta-learning framework for global optimization -- Augmented Brain Storm Optimization with Mutation Strategies -- A new precedence-based Ant Colony Optimization for permutation problems -- A general swarm intelligence model for continuous function optimization -- A Hybrid Particle Swarm Optimization for High-Dimensional Dynamic Optimization -- Visualizing the Search Dynamics in a High-dimensional Space for a Particle Swarm Optimizer -- Particle Swarm Optimization with Winning Score Assignment for Multi-objective Portfolio Optimization -- Conservatism and Adventurism in Particle Swarm Optimization Algorithm -- A competitive social spider optimization with learning strategy for PID controller optimization. . |
| Record Nr. | UNINA-9910483320403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Simulated Evolution and Learning [[electronic resource] ] : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
| Simulated Evolution and Learning [[electronic resource] ] : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 862 p. 267 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Data mining Computer simulation Computer science—Mathematics Discrete mathematics Application software Theory of Computation Artificial Intelligence Data Mining and Knowledge Discovery Computer Modelling Discrete Mathematics in Computer Science Computer and Information Systems Applications |
| ISBN | 3-319-13563-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary optimization -- Evolutionary multi-objective optimization -- Evolutionary machine learning -- Theoretical developments -- Evolutionary feature reduction -- Evolutionary scheduling and combinatorial optimization -- Real world applications and evolutionary image analysis. |
| Record Nr. | UNISA-996210517803316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Simulated Evolution and Learning [[electronic resource] ] : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang
| Simulated Evolution and Learning [[electronic resource] ] : 10th International Conference, SEAL 2014, Dunedin, New Zealand, December 15-18, Proceedings / / edited by Grant Dick, Will N. Browne, Peter Whigham, Mengjie Zhang, Lam Thu Bui, Hisao Ishibuchi, Yaochu Jin, Xiaodong Li, Yuhui Shi, Pramod Singh, Kay Chen Tan, Ke Tang |
| Edizione | [1st ed. 2014.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 |
| Descrizione fisica | 1 online resource (XVI, 862 p. 267 illus.) |
| Disciplina | 004 |
| Collana | Theoretical Computer Science and General Issues |
| Soggetto topico |
Computer science
Artificial intelligence Data mining Computer simulation Computer science—Mathematics Discrete mathematics Application software Theory of Computation Artificial Intelligence Data Mining and Knowledge Discovery Computer Modelling Discrete Mathematics in Computer Science Computer and Information Systems Applications |
| ISBN | 3-319-13563-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Evolutionary optimization -- Evolutionary multi-objective optimization -- Evolutionary machine learning -- Theoretical developments -- Evolutionary feature reduction -- Evolutionary scheduling and combinatorial optimization -- Real world applications and evolutionary image analysis. |
| Record Nr. | UNINA-9910481960503321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2014 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Towards Autonomous Robotic Systems [[electronic resource] ] : 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017, Proceedings / / edited by Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou
| Towards Autonomous Robotic Systems [[electronic resource] ] : 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017, Proceedings / / edited by Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 705 p. 400 illus.) |
| Disciplina | 629.892 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Special purpose computers Computer communication systems User interfaces (Computer systems) Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks User Interfaces and Human Computer Interaction |
| ISBN | 3-319-64107-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm and multi-robotic systems -- Human-robot interaction -- Robotic learning and imitation -- Robot navigation, planning and safety -- Humanoid and bio-inspired robots -- Mobile robots and vehicles -- Robot testing and design -- Detection and recognition -- Learning and adaptive behaviours -- Interaction -- Soft and reconfigurable robots -- Service and industrial robots. |
| Record Nr. | UNISA-996466174403316 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Towards Autonomous Robotic Systems [[electronic resource] ] : 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017, Proceedings / / edited by Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou
| Towards Autonomous Robotic Systems [[electronic resource] ] : 18th Annual Conference, TAROS 2017, Guildford, UK, July 19–21, 2017, Proceedings / / edited by Yang Gao, Saber Fallah, Yaochu Jin, Constantina Lekakou |
| Edizione | [1st ed. 2017.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 |
| Descrizione fisica | 1 online resource (XIII, 705 p. 400 illus.) |
| Disciplina | 629.892 |
| Collana | Lecture Notes in Artificial Intelligence |
| Soggetto topico |
Artificial intelligence
Special purpose computers Computer communication systems User interfaces (Computer systems) Artificial Intelligence Special Purpose and Application-Based Systems Computer Communication Networks User Interfaces and Human Computer Interaction |
| ISBN | 3-319-64107-7 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm and multi-robotic systems -- Human-robot interaction -- Robotic learning and imitation -- Robot navigation, planning and safety -- Humanoid and bio-inspired robots -- Mobile robots and vehicles -- Robot testing and design -- Detection and recognition -- Learning and adaptive behaviours -- Interaction -- Soft and reconfigurable robots -- Service and industrial robots. |
| Record Nr. | UNINA-9910483716003321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2017 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
