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Applied and computational optimal control : a control parametrization approach / / Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock
Applied and computational optimal control : a control parametrization approach / / Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock
Autore Teo K. L.
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (581 pages)
Disciplina 519.6
Collana Springer Optimization and Its Applications
Soggetto topico Constrained optimization
Control theory - Mathematics
Teoria de control
Optimització matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-69913-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 2 Unconstrained Optimization Techniques -- 3 Constrained Mathematical Programming -- 4 Optimization Problems Subject to Continuous Inequality Constraints -- 5 Discrete Time Optimal Control Problems -- 6 Elements of Optimal Control Theory -- 7 Gradient Formulae for Optimal Parameter Selection Problems -- 8 Control Parametrization for Canonical Optimal Control Problems -- 9 Optimal Control Problems with State and Control Constraints -- 10 Time-Lag Optimal Control Problems -- 11 Feedback Control -- 12 On Some Special Classes of Stochastic Optimal Control Problems -- A.1 Elements of Mathematical Analysis -- A.2 Global Optimization via Filled Function Approach -- A.3 Elements of Probability Theory
Record Nr. UNISA-996466413103316
Teo K. L.  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Applied and computational optimal control : a control parametrization approach / / Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock
Applied and computational optimal control : a control parametrization approach / / Kok Lay Teo, Bin Li, Changjun Yu, Volker Rehbock
Autore Teo K. L.
Pubbl/distr/stampa Cham, Switzerland : , : Springer, , [2021]
Descrizione fisica 1 online resource (581 pages)
Disciplina 519.6
Collana Springer Optimization and Its Applications
Soggetto topico Constrained optimization
Control theory - Mathematics
Teoria de control
Optimització matemàtica
Soggetto genere / forma Llibres electrònics
ISBN 3-030-69913-7
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto 1 Introduction -- 2 Unconstrained Optimization Techniques -- 3 Constrained Mathematical Programming -- 4 Optimization Problems Subject to Continuous Inequality Constraints -- 5 Discrete Time Optimal Control Problems -- 6 Elements of Optimal Control Theory -- 7 Gradient Formulae for Optimal Parameter Selection Problems -- 8 Control Parametrization for Canonical Optimal Control Problems -- 9 Optimal Control Problems with State and Control Constraints -- 10 Time-Lag Optimal Control Problems -- 11 Feedback Control -- 12 On Some Special Classes of Stochastic Optimal Control Problems -- A.1 Elements of Mathematical Analysis -- A.2 Global Optimization via Filled Function Approach -- A.3 Elements of Probability Theory
Record Nr. UNINA-9910482957303321
Teo K. L.  
Cham, Switzerland : , : Springer, , [2021]
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Immune Metabolism in Health and Tumor / / edited by Bin Li, Fan Pan
Immune Metabolism in Health and Tumor / / edited by Bin Li, Fan Pan
Edizione [1st ed. 2017.]
Pubbl/distr/stampa Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017
Descrizione fisica 1 online resource (V, 223 p. 24 illus., 23 illus. in color.)
Disciplina 616.079
Collana Advances in Experimental Medicine and Biology
Soggetto topico Immunology
Posttranslational modification
Medical microbiology
Cancer research
Posttranslational Modification
Medical Microbiology
Cancer Research
ISBN 94-024-1170-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Metabolism in Immune Cell Differentiation and Function -- Metabolic Regulation of T cell Immunity -- Transcriptional regulation of T cell metabolism reprograming -- Adipose tissue-resident regulatory T cells -- Immune cell metabolism in tumor microenvironment -- Regulation of Metabolism across Different Subsets of T Cells in Cancer -- Immunometabolism in Tumour Microenvironment .
Record Nr. UNINA-9910253938603321
Dordrecht : , : Springer Netherlands : , : Imprint : Springer, , 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Data Engineering and Automated Learning -- IDEAL 2013 [[electronic resource] ] : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings / / edited by Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Bin Li, Thomas Weise, Xin Yao
Intelligent Data Engineering and Automated Learning -- IDEAL 2013 [[electronic resource] ] : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings / / edited by Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Bin Li, Thomas Weise, Xin Yao
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XVIII, 639 p. 215 illus.)
Disciplina 006.312
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Pattern recognition
Artificial intelligence
Algorithms
Information storage and retrieval
Computers
Data Mining and Knowledge Discovery
Pattern Recognition
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Information Storage and Retrieval
Computation by Abstract Devices
ISBN 3-642-41278-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Pruning Algorithm for Extreme Learning Machine -- Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation -- System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication -- Racing for Unbalanced Methods Selection -- Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm -- Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning -- Learning to Detect the Subway Station Arrival for Mobile Users -- Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering -- Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression -- Web Service Evaluation Method Based on Time-aware Collaborative Filtering -- An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots -- An Initialized ACO for the VRPTW -- Deadline-Aware Event Scheduling for Complex Event Processing Systems -- A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing -- Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model -- An Extended Version of the LVA-Index -- Anomaly Monitoring Framework Based on Intelligent Data Analysis -- Customer Unification in E-Commerce -- Network Management Based on Domain Partition for Mobile Agents -- Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks’ Energy-Efficient Coverage Optimization -- Image Super Resolution via Visual Prior Based Digital Image Characteristics -- Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder -- Prevailing Trends Detection of Public Opinions Based on Tianya Forum -- Fast and Accurate Sentiment Classification Using an Enhanced Naïve Bayes Model -- A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems -- A Direction based Multi-Objective Agent Genetic Algorithm -- A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation -- Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary? -- SVD Based Graph Regularized Matrix Factorization -- Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map -- Efficient Service Deployment by Image-Aware VM Allocation Strategy -- Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model -- A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization -- Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery -- Dynamic EM in Neologism Evolution -- Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement -- Sparse Prototype Representation by Core Sets -- Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression -- Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables -- A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems -- Fuzzy Clustering with Grouping Genetic Algorithms -- Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism -- Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution -- Gradient Boosting-Based Negative Correlation Learning -- Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient -- Semi-supervised Ranking via List-Wise Approach -- Gaussian Process for Transfer Learning through Minimum Encoding -- Kernel Based Manifold Learning for Complex Industry Fault Detection -- An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes -- Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism -- Swarm Intelligence in Big Data Analytics -- Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware -- Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm -- Quantifying Flow Field Distances Based on a Compact Streamline Representation -- MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid -- Multi-Objective Particle Swarm Optimization Algorithm Based on Population Decomposition -- An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines -- Understanding Instance Complexity in the Linear Ordering Problem -- Multi-Objective Evolutionary Algorithm Based on Decomposition for Air Traffic Flow Network Rerouting Problem -- Temporal Dependence in Legal Documents -- Learning-Guided Exploration in Airfoil Optimization -- A Trigram Language Model to Predict Part of Speech Tags Using Neural Network -- Handling Different Levels of Granularity within Naive Bayes Classifiers -- Genetic Algorithm on GPU Performance Optimization Issues -- Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results -- Velocity Divergence of CCPSO in Large Scale Global Optimization -- Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition -- High against Low Quantile Comparison for Biomarker and Classifier Evaluation -- Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments -- Hybrid Bacterial Foraging Algorithm for Data Clustering -- Swarm Intelligence with Clustering for Solving SAT -- Multilevel Bee Swarm Optimization for Large Satisfiability Problem Instances -- Voting-XCSc: A Consensus Clustering Method via Learning Classifier System -- Distance Weighted Cosine Similarity Measure for Text Classification -- A Survey on Benchmarks for Big Data and Some More Considerations -- Spectral Clustering Algorithm Based on Local Sparse Representation.
Record Nr. UNISA-996465759103316
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Intelligent Data Engineering and Automated Learning -- IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings / / edited by Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Bin Li, Thomas Weise, Xin Yao
Intelligent Data Engineering and Automated Learning -- IDEAL 2013 : 14th International Conference, IDEAL 2013, Hefei, China, October 20-23, 2013, Proceedings / / edited by Hujun Yin, Ke Tang, Yang Gao, Frank Klawonn, Minho Lee, Bin Li, Thomas Weise, Xin Yao
Edizione [1st ed. 2013.]
Pubbl/distr/stampa Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Descrizione fisica 1 online resource (XVIII, 639 p. 215 illus.)
Disciplina 006.312
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Pattern recognition
Artificial intelligence
Algorithms
Information storage and retrieval
Computers
Data Mining and Knowledge Discovery
Pattern Recognition
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Information Storage and Retrieval
Computation by Abstract Devices
ISBN 3-642-41278-5
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto A Pruning Algorithm for Extreme Learning Machine -- Measuring Stability and Discrimination Power of Metrics in Information Retrieval Evaluation -- System for Monitoring and Optimization of Micro- and Nano-Machining Processes Using Intelligent Voice and Visual Communication -- Racing for Unbalanced Methods Selection -- Super-Resolution from One Single Low-Resolution Image Based on R-KSVD and Example-Based Algorithm -- Bilateral Multi-issue Parallel Negotiation Model Based on Reinforcement Learning -- Learning to Detect the Subway Station Arrival for Mobile Users -- Vision Based Multi-pedestrian Tracking Using Adaptive Detection and Clustering -- Drilling Cost Prediction Based on Self-adaptive Differential Evolution and Support Vector Regression -- Web Service Evaluation Method Based on Time-aware Collaborative Filtering -- An Improved PBIL Algorithm for Path Planning Problem of Mobile Robots -- An Initialized ACO for the VRPTW -- Deadline-Aware Event Scheduling for Complex Event Processing Systems -- A Discrete Hybrid Bees Algorithm for Service Aggregation Optimal Selection in Cloud Manufacturing -- Continuous Motion Recognition Using Multiple Time Constant Recurrent Neural Network with a Deep Network Model -- An Extended Version of the LVA-Index -- Anomaly Monitoring Framework Based on Intelligent Data Analysis -- Customer Unification in E-Commerce -- Network Management Based on Domain Partition for Mobile Agents -- Multi-objective Quantum Cultural Algorithm and Its Application in the Wireless Sensor Networks’ Energy-Efficient Coverage Optimization -- Image Super Resolution via Visual Prior Based Digital Image Characteristics -- Deep Learning on Natural Viewing Behaviors to Differentiate Children with Fetal Alcohol Spectrum Disorder -- Prevailing Trends Detection of Public Opinions Based on Tianya Forum -- Fast and Accurate Sentiment Classification Using an Enhanced Naïve Bayes Model -- A Scale-Free Based Memetic Algorithm for Resource-Constrained Project Scheduling Problems -- A Direction based Multi-Objective Agent Genetic Algorithm -- A Study of Representations for Resource Constrained Project Scheduling Problems Using Fitness Distance Correlation -- Adapt a Text-Oriented Chunker for Oral Data: How Much Manual Effort Is Necessary? -- SVD Based Graph Regularized Matrix Factorization -- Clustering, Noise Reduction and Visualization Using Features Extracted from the Self-Organizing Map -- Efficient Service Deployment by Image-Aware VM Allocation Strategy -- Forecasting Financial Time Series Using a Hybrid Self-Organising Neural Model -- A Novel Diversity Maintenance Scheme for Evolutionary Multi-objective Optimization -- Adaptive Differential Evolution Fuzzy Clustering Algorithm with Spatial Information and Kernel Metric for Remote Sensing Imagery -- Dynamic EM in Neologism Evolution -- Estimation of the Regularisation Parameter in Huber-MRF for Image Resolution Enhancement -- Sparse Prototype Representation by Core Sets -- Reconstruction of Wind Speed Based on Synoptic Pressure Values and Support Vector Regression -- Direct Solar Radiation Prediction Based on Soft-Computing Algorithms Including Novel Predictive Atmospheric Variables -- A Novel Coral Reefs Optimization Algorithm for Multi-objective Problems -- Fuzzy Clustering with Grouping Genetic Algorithms -- Graph-Based Substructure Pattern Mining Using CUDA Dynamic Parallelism -- Scaling Up Covariance Matrix Adaptation Evolution Strategy Using Cooperative Coevolution -- Gradient Boosting-Based Negative Correlation Learning -- Metamodel Assisted Mixed-Integer Evolution Strategies Based on Kendall Rank Correlation Coefficient -- Semi-supervised Ranking via List-Wise Approach -- Gaussian Process for Transfer Learning through Minimum Encoding -- Kernel Based Manifold Learning for Complex Industry Fault Detection -- An Estimation of Distribution Algorithm for the 3D Bin Packing Problem with Various Bin Sizes -- Accelerating BIRCH for Clustering Large Scale Streaming Data Using CUDA Dynamic Parallelism -- Swarm Intelligence in Big Data Analytics -- Multidimensional Dynamic Trust Measurement Model with Incentive Mechanism for Internetware -- Global Path Planning of Wheeled Robots Using a Multi-Objective Memetic Algorithm -- Quantifying Flow Field Distances Based on a Compact Streamline Representation -- MCGA: A Multiobjective Cellular Genetic Algorithm Based on a 3D Grid -- Multi-Objective Particle Swarm Optimization Algorithm Based on Population Decomposition -- An Effective Ant Colony Approach for Scheduling Parallel Batch-Processing Machines -- Understanding Instance Complexity in the Linear Ordering Problem -- Multi-Objective Evolutionary Algorithm Based on Decomposition for Air Traffic Flow Network Rerouting Problem -- Temporal Dependence in Legal Documents -- Learning-Guided Exploration in Airfoil Optimization -- A Trigram Language Model to Predict Part of Speech Tags Using Neural Network -- Handling Different Levels of Granularity within Naive Bayes Classifiers -- Genetic Algorithm on GPU Performance Optimization Issues -- Mutual Information for Performance Assessment of Multi Objective Optimisers: Preliminary Results -- Velocity Divergence of CCPSO in Large Scale Global Optimization -- Machine Learning Enhanced Multi-Objective Evolutionary Algorithm Based on Decomposition -- High against Low Quantile Comparison for Biomarker and Classifier Evaluation -- Learning a Label-Noise Robust Logistic Regression: Analysis and Experiments -- Hybrid Bacterial Foraging Algorithm for Data Clustering -- Swarm Intelligence with Clustering for Solving SAT -- Multilevel Bee Swarm Optimization for Large Satisfiability Problem Instances -- Voting-XCSc: A Consensus Clustering Method via Learning Classifier System -- Distance Weighted Cosine Similarity Measure for Text Classification -- A Survey on Benchmarks for Big Data and Some More Considerations -- Spectral Clustering Algorithm Based on Local Sparse Representation.
Record Nr. UNINA-9910484512803321
Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
Intelligent Data Engineering and Automated Learning – IDEAL 2016 [[electronic resource] ] : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
Intelligent Data Engineering and Automated Learning – IDEAL 2016 [[electronic resource] ] : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 647 p. 209 illus.)
Disciplina 006.312
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Pattern recognition
Artificial intelligence
Algorithms
Information storage and retrieval
Computers
Data Mining and Knowledge Discovery
Pattern Recognition
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Information Storage and Retrieval
Computation by Abstract Devices
ISBN 3-319-46257-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- Applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis -- Applications in regression, classification, clustering, medical and biological modeling and predication -- Text processing and image analysis.
Record Nr. UNISA-996466243303316
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. di Salerno
Opac: Controlla la disponibilità qui
Intelligent Data Engineering and Automated Learning – IDEAL 2016 : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
Intelligent Data Engineering and Automated Learning – IDEAL 2016 : 17th International Conference, Yangzhou, China, October 12–14, 2016, Proceedings / / edited by Hujun Yin, Yang Gao, Bin Li, Daoqiang Zhang, Ming Yang, Yun Li, Frank Klawonn, Antonio J. Tallón-Ballesteros
Edizione [1st ed. 2016.]
Pubbl/distr/stampa Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Descrizione fisica 1 online resource (XVI, 647 p. 209 illus.)
Disciplina 006.312
Collana Information Systems and Applications, incl. Internet/Web, and HCI
Soggetto topico Data mining
Pattern recognition
Artificial intelligence
Algorithms
Information storage and retrieval
Computers
Data Mining and Knowledge Discovery
Pattern Recognition
Artificial Intelligence
Algorithm Analysis and Problem Complexity
Information Storage and Retrieval
Computation by Abstract Devices
ISBN 3-319-46257-1
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Research outcomes in data engineering and automated learning -- Methodologies, frameworks, and techniques -- Applications including various topics such as evolutionary algorithms; deep learning; neural networks; probabilistic modeling; particle swarm intelligence; big data analysis -- Applications in regression, classification, clustering, medical and biological modeling and predication -- Text processing and image analysis.
Record Nr. UNINA-9910482995803321
Cham : , : Springer International Publishing : , : Imprint : Springer, , 2016
Materiale a stampa
Lo trovi qui: Univ. Federico II
Opac: Controlla la disponibilità qui
New thinking in GIScience / / Bin Li [and four others], editors
New thinking in GIScience / / Bin Li [and four others], editors
Pubbl/distr/stampa Singapore : , : Springer : , : Higher Education Press, , [2022]
Descrizione fisica 1 online resource (379 pages)
Disciplina 910.285
Soggetto topico Geographic information systems
Geographic information systems - Research
Public health
ISBN 981-19-3816-4
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Nota di contenuto Intro -- Preface -- Contents -- 1 From Representation to Geocomputation: Some Theoretical Accounts of Geographic Information Science -- 1.1 Introduction -- 1.2 Geographic Representation -- 1.3 Geocomputation -- 1.4 Concluding Remarks -- References -- 2 On Holo-spatial Information System -- 2.1 Introduction -- 2.2 The Concept of Holo-spatial Information System -- 2.3 Object-Oriented Modeling for HSIS -- 2.4 Information Management Framework of HSIS -- 2.5 Conclusion and Discussion -- References -- 3 The Virtual Geographic Environments: More than the Digital Twin of the Physical Geographical Environments -- 3.1 Introduction -- 3.2 Virtual Geographic Environments -- 3.2.1 The Definition and Concepts of Virtual Geographic Environments -- 3.2.2 The Evolution of Virtual Geographic Environments -- 3.2.3 Features of Virtual Geographic Environments -- 3.3 Digital Twins -- 3.3.1 Concepts and Definitions of Digital Twin -- 3.3.2 Characteristics of Digital Twins -- 3.4 Discussion -- 3.5 Conclusions -- References -- 4 Big Remote Sensing Data as Curves -- 4.1 Introduction -- 4.2 Traditional Perceptions of Big Remote Sensing Data -- 4.3 Novel Perceptions of Big Remote Sensing Data -- 4.4 New Thinking of Big Remote Sensing Data and New Theoretic Frame for Data Processing and Fusion -- 4.5 Conclusions -- References -- 5 GIScience from Viewpoint of Information Science -- 5.1 Introduction -- 5.2 GIScience in Its Current Definitions -- 5.3 GIScience from the Viewpoint of Information Science -- 5.4 GIScience as a Branch of Information Science -- 5.5 Outlook -- References -- 6 Towards Place-Based GIS -- 6.1 Introduction -- 6.2 Building Blocks Towards Place-Based GIS -- 6.2.1 Platial Data and Characteristics -- 6.2.2 Representation and Computational Models of Place -- 6.2.3 Platial Analysis and Visualization -- 6.3 Conclusion -- References.
7 The Bottom-Up Approach and De-mapping Direction of GIS -- 7.1 Introduction -- 7.2 Motivation and Facilitation for GIS to Incorporate Bottom-Up Methods -- 7.3 Examples of Bottom-Up Methods -- 7.4 Concluding Remarks -- References -- 8 The Geography of Geography -- 8.1 The Questions -- 8.2 The Exploration -- 8.2.1 The Data -- 8.2.2 The Findings -- 8.3 The Future -- References -- 9 Classification and Description of Geographic Information: A Comprehensive Expression Framework -- 9.1 Introduction -- 9.2 The Connotation of Geographic Information -- 9.2.1 Overall Framework -- 9.2.2 Information Elements for Ternary Space -- 9.2.3 Seven Dimensions for Geographical Information Description -- 9.3 Example of the New Geographic Information Description -- 9.4 Conclusion -- References -- 10 On the Third Law of Geography -- 10.1 About Laws of Geography -- 10.2 The Third Law of Geography -- 10.3 Issues to Address -- 10.4 Summary -- References -- 11 Human Mobility and the Neighborhood Effect Averaging Problem (NEAP) -- 11.1 Introduction -- 11.2 The Neighborhood Effect Averaging Problem -- 11.3 Recent Studies on the NEAP -- 11.4 Implications of the NEAP -- References -- 12 How to Form and Answer the So What Question in GIScience -- 12.1 Introduction -- 12.2 The "So What" Question in Education, Medical Research and Geography -- 12.2.1 The Relevance in Technology Education -- 12.2.2 The PICOT Format in Medical Research -- 12.2.3 The WWO Format in Geography -- 12.3 The WWHO or the "Gazing on the Peak" Format in GIScience -- 12.4 Conclusion -- References -- 13 Prospects on Causal Inferences in GIS -- 13.1 Introduction -- 13.2 Causal Inference Is Not New -- 13.3 Spatial Statistical Causal Inference Is New -- 13.4 Relevance to GIS -- 13.5 Conclusions -- References -- 14 Bayesian Methods for Geospatial Data Analysis -- 14.1 Introduction -- 14.2 Bayesian Inference.
14.3 Applications of Bayesian Models in Geospatial Problems -- 14.3.1 Bayesian Spatial Interpolation -- 14.3.2 Bayesian Models for Disease Mapping, Risk Estimate, and Prediction -- 14.3.3 Bayesian Hierarchical Models -- 14.3.4 Bayesian Spatial Autoregressive Models -- 14.4 Bayesian Implementation -- 14.5 Some Concluding Thoughts -- References -- 15 GIS Software Product Development Challenges in the Era of Cloud Computing -- 15.1 Introduction -- 15.2 Challenges to Developing GIS Software as SaaS -- 15.2.1 Agile Development Philosophy and Microservice Architecture -- 15.2.2 Security -- 15.2.3 Continuous Integration/Continuous Delivery (CI/CD) -- 15.2.4 Shift-Left Testing, Testing Automation and Chaos Engineering -- 15.2.5 Integration with Existing Systems -- 15.2.6 Big Data Stores -- 15.2.7 Big Data Processing and GPU Database -- 15.2.8 Production System Monitoring -- 15.2.9 Integration of GeoAI and Machine Learning -- 15.2.10 Open-Source Strategy -- 15.2.11 Geospatial Functionality Development -- 15.2.12 Development Team Building -- 15.3 Concluding Remarks -- References -- 16 Spatial Thinking of Computational Intensity in the Era of CyberGIS -- 16.1 Introduction -- 16.2 Computational Intensity Map -- 16.3 Summary -- References -- 17 GeoAI and the Future of Spatial Analytics -- 17.1 Challenges in Spatial Analytics -- 17.1.1 The Size Challenge of Big Data -- 17.1.2 Navigating Through the Messiness of Big Data -- 17.1.3 Hypothesis Test Versus Knowledge Mining -- 17.2 GeoAI: A New Form of Spatial Analytics -- 17.3 Concluding Remarks -- References -- 18 Deep Learning of Big Geospatial Data: Challenges and Opportunities -- 18.1 Introduction -- 18.2 Challenges in Geospatial Analysis of Big Geospatial Data -- 18.2.1 Complex Geospatial Patterns -- 18.2.2 Heterogeneous Data Sources -- 18.2.3 Geospatial Uncertainty -- 18.3 The Promises of Deep Learning.
18.4 Discussions -- References -- 19 Towards Domain-Knowledge-Based Intelligent Geographical Modeling -- 19.1 Complexity in Geographical Modeling -- 19.2 Intelligent Geographical Modeling -- 19.3 Domain Knowledge and Operation of Intelligent Geographical Modeling -- 19.4 How to Realize Intelligent Geographical Modeling? -- 19.5 Potential Contributions to AI -- 19.6 Concluding Remarks -- References -- 20 Mitigating Spatial Bias in Volunteered Geographic Information for Spatial Modeling and Prediction -- 20.1 Introduction -- 20.2 Spatial Bias in VGI -- 20.3 A Representativeness-Directed Approach to Bias Mitigation -- 20.3.1 Measuring Sample Representativeness -- 20.3.2 Representativeness-Directed Bias Mitigation -- 20.4 Applications -- 20.5 Outlook on Future Research -- References -- 21 Dealing with Unstructured Geospatial Data -- 21.1 Introduction -- 21.2 Characteristics of the Unstructured Geospatial Data -- 21.3 Technologies and Challenges of Unstructured Geospatial Data -- 21.4 Conclusion -- References -- 22 Green Cartography and Energy-Aware Maps: Possible Research Opportunities -- 22.1 Introduction -- 22.2 Should Digital Maps Be Energy-Aware? -- 22.2.1 Map Content with Energy Consumption -- 22.2.2 Map Form with Energy Consumption -- 22.3 Possible Research Opportunities of Digital Maps Being Energy-Aware -- 22.3.1 Making Energy-Aware Maps -- 22.3.2 Using Energy-Aware Maps -- 22.4 Summary -- References -- 23 Next Step in Vegetation Remote Sensing: Synergetic Retrievals of Canopy Structural and Leaf Biochemical Parameters -- 23.1 Introduction -- 23.2 Synergetic Retrievals of Both Canopy Structural and Leaf Biochemical Parameters -- 23.2.1 Major Issues in LAI Retrieval -- 23.2.2 Major Issues in LCC Retrieval -- 23.2.3 Synergetic Retrievals of LAI and LCC.
23.3 Tradeoff of Canopy Structural and Leaf Biochemical Parameters in Terrestrial Ecosystem Models -- 23.4 Summary -- References -- 24 LiDAR Remote Sensing of Forest Ecosystems: Applications and Prospects -- 24.1 Introduction -- 24.2 Evolution of 3D Forest Observation -- 24.3 Beyond 3D: New Spectrum of LiDAR Applications in Forest Ecosystem Studies -- 24.3.1 Application of LiDAR Structural, Temporal, and Spectral Information in Forest Ecosystem Studies -- 24.3.2 Linking the Forest Structure Information with Radiative Transfer Models and Ecological Processes -- 24.4 Prospects for LiDAR Remote Sensing of Forest Ecosystems -- 24.5 Conclusions -- References -- 25 Dense Satellite Image Time Series Analysis: Opportunities, Challenges, and Future Directions -- 25.1 Introduction -- 25.2 Opportunities for Developing Dense Time-Series Remote Sensing -- 25.2.1 New Data Sources -- 25.2.2 Stronger Capability of Data Processing -- 25.2.3 New Applications -- 25.3 Challenges of Dense SITS Analysis -- 25.3.1 Data Quality Control -- 25.3.2 Data Analysis Techniques -- 25.3.3 Cloud Impact -- 25.4 Future Directions -- 25.4.1 Data Fusion to Reconstruct High-Quality Time Series -- 25.4.2 Modeling Spatial-Temporal Information -- 25.4.3 Development of Analysis-Ready Data and User-Friendly Tools -- 25.5 Conclusion -- References -- 26 Digital Earth: From Earth Observations to Analytical Solutions -- 26.1 Introduction -- 26.2 Remote Sensing: A Long Path of Earth Observations -- 26.3 Social Sensing: VGI Collection and Dissemination -- 26.4 Digital Earth: An Integrated Analytical Solution -- 26.5 Conclusion -- References -- 27 Spatial-Temporal Big Data Enables Social Governance -- 27.1 Introduction -- 27.2 Current Situation of Social Governance -- 27.2.1 Why Social Governance Needs GIS? -- 27.2.2 Problems and Challenges in Social Governance.
27.2.3 New Ways and Exploration of GIS for Social Governance.
Record Nr. UNINA-9910741137603321
Singapore : , : Springer : , : Higher Education Press, , [2022]
Materiale a stampa
Lo trovi qui: Univ. Federico II
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Path planning for autonomous vehicle : ensuring reliable driverless navigation and control maneuver / / by Umar Zakir Abdul Hamid, Volkan Sezer, Bin Li, editors
Path planning for autonomous vehicle : ensuring reliable driverless navigation and control maneuver / / by Umar Zakir Abdul Hamid, Volkan Sezer, Bin Li, editors
Pubbl/distr/stampa London : , : Intechopen, , [2019]
Descrizione fisica 1 online resource (148 pages)
Disciplina 629.2
Soggetto topico Motor vehicles - Automatic control
Automated vehicles - Design and construction
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione eng
Record Nr. UNINA-9910687976203321
London : , : Intechopen, , [2019]
Materiale a stampa
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Les patrimoines affectés / / Jérôme Julien, Muriel Rebourg
Les patrimoines affectés / / Jérôme Julien, Muriel Rebourg
Autore Bertin Cécile De Cet
Pubbl/distr/stampa Toulouse, : Presses de l’Université Toulouse Capitole, 2017
Descrizione fisica 1 online resource (154 p.)
Altri autori (Persone) GinestetCatherine
G’SellFlorence
JulienJérôme
LaurobaElena
Le GallouCécile
LiBin
MorinChristine
RebourgMuriel
Thomat-RaynaudAnne-Laure
Soggetto topico Law
gestion
Common law
droit des étrangers
valorisation
Soggetto non controllato droit des étrangers
valorisation
Common law
gestion
ISBN 2-37928-028-2
Formato Materiale a stampa
Livello bibliografico Monografia
Lingua di pubblicazione fre
Record Nr. UNINA-9910275035303321
Bertin Cécile De Cet  
Toulouse, : Presses de l’Université Toulouse Capitole, 2017
Materiale a stampa
Lo trovi qui: Univ. Federico II
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