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Academic Press Library in signal processing . Volume 6 Image and video processing and analysis and computer vision / / edited by Rama Chellappa, Sergios Theodoridis
| Academic Press Library in signal processing . Volume 6 Image and video processing and analysis and computer vision / / edited by Rama Chellappa, Sergios Theodoridis |
| Pubbl/distr/stampa | London, England : , : Academic Press, , 2018 |
| Descrizione fisica | 1 online resource (460 pages) : illustrations (some color), photographs |
| Disciplina | 006.38 |
| Soggetto topico | Natural computation |
| ISBN |
0-12-811900-4
0-12-811889-X |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiview video : acquisition, processing, compression, and virtual view rendering / Olgierd Stankiewicz, Gauthier Lafruit and Marek Domański -- Plenoptic imaging : representation and processing / Fernando Pereira, Eduardo A.B. da Silva and Gauthier Lafruit -- Visual attention, visual salience, and perceived interest in multimedia applications / Yashas Rai and Patrick Le Callet -- Emerging science of QoE in multimedia applications : concepts, experimental guidelines, and validation of models / Lukáš Krasula and Patrick Le Callet -- Computational photography / Ashok Veeraraghavan, Aswin C. Sankaranarayanan and Adithya K. Pediredla -- Face detection with a 3D model / Adrian Barbu, Nathan Lay and Gary Gramajo -- A survey on nonrigid 3D shape analysis / Hamid Laga -- Markov models and MCMC algorithms in image processing / Xavier Descombes -- Scalable image informatics / Dmitry Fedorov, B.S. Manjunath, Christian A. Lang and Kristian Kvilekval -- Person re-identification / Marco Cristani and Vittorio Murino -- Social network inference in videos / Ashish Gupta and Alper Yilmaz. |
| Record Nr. | UNINA-9910583037203321 |
| London, England : , : Academic Press, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advanced Optimization by Nature-Inspired Algorithms / / edited by Omid Bozorg-Haddad
| Advanced Optimization by Nature-Inspired Algorithms / / edited by Omid Bozorg-Haddad |
| Edizione | [1st ed. 2018.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 |
| Descrizione fisica | 1 online resource (XV, 159 p. 34 illus., 4 illus. in color.) |
| Disciplina | 006.38 |
| Collana | Studies in Computational Intelligence |
| Soggetto topico |
Computational intelligence
Mathematical optimization Artificial intelligence Operations research Mechanics, Applied Image processing - Digital techniques Computer vision Computational Intelligence Optimization Artificial Intelligence Operations Research and Decision Theory Engineering Mechanics Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-10-5221-2 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Cat Swarm Optimization (CSO) Algorithm -- League Championship Algorithm (LCA) -- Anarchic Society Optimization (ASO) Algorithm -- Cuckoo Optimization Algorithm (COA) -- Teaching-Learning-Based Optimization (TLBO) Algorithm -- Flower pollination Algorithm (FPA) -- Krill Herd Algorithm (KHA) -- Grey Wolf Optimization (GWO) Algorithm -- Shark Smell Optimization (SSO) Algorithm -- Ant Lion Optimizer (ALO) Algorithm -- Gradient Evolution (GE) Algorithm -- Moth-Flame Optimization (MFO) Algorithm -- Crow Search Algorithm (CSA) -- Dragonfly Algorithm (DA). |
| Record Nr. | UNINA-9910299569103321 |
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2018 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Proceedings of the ICNC-FSKD 2022 / / edited by Ning Xiong, Maozhen Li, Kenli Li, Zheng Xiao, Longlong Liao, Lipo Wang
| Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Proceedings of the ICNC-FSKD 2022 / / edited by Ning Xiong, Maozhen Li, Kenli Li, Zheng Xiao, Longlong Liao, Lipo Wang |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (1527 pages) |
| Disciplina |
511.322
006.38 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-031-20738-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Multiple Layers Global Average Pooling Fusion -- Han Dynasty Clothing Image Classification Model Based on KNN-Attention and CNN -- Self-attention SSD Network Detection Method of X-ray Security Images -- Cross Architecture Function Similarity Detection with Binary Lifting and Neural Metric Learning -- Pain Expression Recognition Based on Dual-channel Convolutional Neural Network -- A Noval Air Quality Index Prediction Scheme Based On Long Short-Term Memory Technology -- Code Summarization through Learning Linearized AST Paths with Transformer -- Function Level Cross-Modal Code Similarity Detection with Jointly Trained Deep Encoders -- Ease Solidity Smart Contract Compilation through Version Pragma Identification -- Towards Robust Similarity Detection of Smart Contracts with Masked Language Modelling -- DeSG: Towards Generating Valid Solidity Smart Contracts with Deep Learning -- Combining AST Segmentation and Deep Semantic Extraction for Function Level Vulnerability Detection -- A Novel Variational-Mode-Decomposition-Based Long Short-Term Memory for Foreign Exchange Prediction. |
| Record Nr. | UNINA-9910647397603321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Proceedings of the ICNC-FSKD 2021 / / edited by Quan Xie, Liang Zhao, Kenli Li, Anupam Yadav, Lipo Wang
| Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Proceedings of the ICNC-FSKD 2021 / / edited by Quan Xie, Liang Zhao, Kenli Li, Anupam Yadav, Lipo Wang |
| Edizione | [1st ed. 2022.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 |
| Descrizione fisica | 1 online resource (1454 pages) : illustrations (some color) |
| Disciplina | 006.38 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-89698-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | RRS:An Explainable Model Scale Search Strategy -- Detection of Small Targets in Aerial Images based on Feature Fusion -- Intrusion Detection Based on LSTM and Random Forests -- Research and Hardware Implementation of Binocular Vision Obstacle Avoidance for UAV -- Parameter Estimation of Equivalent Circuit Model for Lithium Batteries -- Improved U-Net Network for Segmentation on Femur Images -- A 14-bit 2MS/s Digital Self-Calibrating SAR ADC Design and Simulation -- A Windowed Interpolation Algorithm for High-precision ADC Spectrum Testing -- Temperature Compensation Algorithms Based on Digital Infrared Thermopile Sensors Systems -- Optimizing Deep-Learning Inference Operations -- An Efficient MRI Impulse Noise Multi-Stage Hybrid Filter Based on Cartesian Genetic Programming -- Multi-Objective Strategy Based on Rational Particle Swarm Optimization for Environmental/Economic Dispatch -- Express Service Composition Optimization Based on Improved Ant Colony Algorithm. |
| Record Nr. | UNINA-9910523738403321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2022 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery / / edited by Hongying Meng, Tao Lei, Maozhen Li, Kenli Li, Ning Xiong, Lipo Wang
| Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery / / edited by Hongying Meng, Tao Lei, Maozhen Li, Kenli Li, Ning Xiong, Lipo Wang |
| Edizione | [1st ed. 2021.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 |
| Descrizione fisica | 1 online resource (1951 pages) |
| Disciplina | 006.38 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Computational intelligence
Artificial intelligence Computational Intelligence Artificial Intelligence |
| ISBN | 3-030-70665-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A medical image segmentation method based on pixel-to-pixel threshold -- Radar Tasks Scheduling Based on Adaptive Neuro Fuzzy Inference and Time-Interval Planning -- Ranking Spatiotemporal RDF Properties Using Machine-Learning -- Controllability For Nonlocal Evolution Inclusions With Clarke's Subdifferential On Semi-Infinite Intervals -- Improved Parallel RSA Cryptosystem with GPU for Network Information Security -- The Recommendation Model of Personalized English Learning Resources Based on Intelligent Education -- Binaural Blind Source Separation Based on Deep Clustering -- The Approximation Of Fuzzy Number Value, Ambiguity And Expected Interval -- Machine learning based approach for Weed Detection in Chilli field using RGB images -- Disparity Estimation From Holoscopic Elemental Images -- Multi-agents Based Architecture of Remote Monitoring and Intelligent Diagnosis of Faults in Large-scale Petrochemical Systems -- An improved tracking learning detection method based on AKAZE feature points -- The Influence of Intelligent Capital on the Difference of Enterprise's Net Value and Value from the Perspective of Value Chain -- Research on hybrid algorithm based on particle swarm optimization and cuckoo search algorithm -- Application of Two-stage Sampling in Sampling Inspection. |
| Record Nr. | UNINA-9910488710903321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2021 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Volume 2 / / edited by Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu
| Advances in Natural Computation, Fuzzy Systems and Knowledge Discovery : Volume 2 / / edited by Yong Liu, Lipo Wang, Liang Zhao, Zhengtao Yu |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (xxv, 1,119 pages) : illustrations |
| Disciplina |
006
006.38 |
| Collana | Advances in Intelligent Systems and Computing |
| Soggetto topico |
Computational intelligence
Expert systems (Computer science) Computational Intelligence Knowledge Based Systems |
| ISBN | 3-030-32591-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910484228803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in Nature-Inspired Computing and Applications / / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar
| Advances in Nature-Inspired Computing and Applications / / edited by Shishir Kumar Shandilya, Smita Shandilya, Atulya K. Nagar |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (355 pages) |
| Disciplina | 006.38 |
| Collana | EAI/Springer Innovations in Communication and Computing |
| Soggetto topico |
Telecommunication
Computational intelligence Artificial intelligence Dynamics Nonlinear theories Bioinformatics Communications Engineering, Networks Computational Intelligence Artificial Intelligence Applied Dynamical Systems |
| ISBN | 3-319-96451-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | A Nature-inspired Decision System for Secure Cyber Network Architecture -- Optimizing Resource Allocation in Next-Generation Wireless Networks Considering Carrier Aggregation Using Evolutionary Programming -- Artificial Feeding Birds (AFB): a new metaheuristic inspired by the behavior of pigeons -- Nature – Inspired Algorithms for Medical Image Processing -- Firefly Algorithm applied to the Estimation of Parameters of Photovoltaic Systems -- Realization of PSO-based Adaptive Beamforming Algorithm for Smart Antennas -- A Multi-objective Analysis and Comparison of Bio-inspired Approaches for the Cluster-Head Selection problem in WSN -- An Energy Efficient Cluster Head Selection using Artificial Bees Colony Optimization for Wireless Sensor Networks -- Modified Krill Herd Algorithm for Global Numerical Optimization Problems -- Application of Nature-Inspired Optimization Techniques in Vessel Traffic Control -- Enhanced throughput and accelerated detection of network attacks using a membrane computingmodel implemented on a GPU -- Physics-based Algorithms for Boolean Target Coverage -- A Hybrid Bio- Inspired Algorithm for Protein Domain Problems -- Modeling Service Discovery over Wireless Mesh Networks. |
| Record Nr. | UNINA-9910337471803321 |
| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Applied Nature-Inspired Computing: Algorithms and Case Studies / / edited by Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya
| Applied Nature-Inspired Computing: Algorithms and Case Studies / / edited by Nilanjan Dey, Amira S. Ashour, Siddhartha Bhattacharyya |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (281 pages) |
| Disciplina | 006.38 |
| Collana | Springer Tracts in Nature-Inspired Computing |
| Soggetto topico |
Computational intelligence
Algorithms Computer science—Mathematics Computer simulation Computational Intelligence Algorithm Analysis and Problem Complexity Mathematics of Computing Simulation and Modeling |
| ISBN | 981-13-9263-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Chapter 1. Particle Swarm Optimization of Morphological Filters for Electrocardiogram Baseline Drift Estimation -- Chapter 2. Detection of Breast Cancer using Fusion of MLO and CC View Features Through a Hybrid Technique Based on Binary Firefly algorithm and Optimum Path Forest Classification -- Chapter 3. Recommending Healthy Personalized Daily Menus – A Cuckoo Search based Hyper-Heuristic Approach -- Chapter 4. A Hybrid Bat-Inspired Algorithm for Power Transmission Expansion Planning on a Practical Brazilian Network -- Chapter 5. An Application of Binary Grey Wolf Optimizer (BGWO) variants for Unit Commitment Problem -- Chapter 6. Sensorineural hearing loss identification via discrete wavelet packet entropy and cat swarm optimization -- Chapter 7. Chaotic Variants of Grasshopper Optimisation Algorithm and their application to Protein Structure Prediction -- Chapter 8. Examination of Retinal Anatomical Structures – A Study with Spider Monkey Optimization Algorithm -- Chapter 9. Nature-Inspired Metaheuristics Search Algorithms for Solving the Economic Load Dispatch Problem of Power System: A Comparative Study -- Chapter 10. Parallel-series System Optimization by Weighting Sum Methods and Nature-inspired Computing -- Chapter 11. Development of Artificial Neural Networks trained by Heuristic Algorithms for Prediction of Exhaust Emissions and Performance of a Diesel Engine Fuelled with Biodiesel Blends. |
| Record Nr. | UNINA-9910767546503321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring / / by Andrew Schumann
| Behaviourism in Studying Swarms: Logical Models of Sensing and Motoring / / by Andrew Schumann |
| Autore | Schumann Andrew |
| Edizione | [1st ed. 2019.] |
| Pubbl/distr/stampa | Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 |
| Descrizione fisica | 1 online resource (XI, 468 p. 117 illus., 25 illus. in color.) |
| Disciplina | 006.38 |
| Collana | Emergence, Complexity and Computation |
| Soggetto topico |
Computational intelligence
Computational complexity Artificial intelligence Computational Intelligence Complexity Artificial Intelligence |
| ISBN | 3-319-91542-8 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Introduction -- Actin Filament Networks -- Unconventional Computers Designed on Swarm Behaviours -- Conventional and Unconventional Automata on Swarm Behaviours -- Non-Archimedean Valued Fuzzy and Probability Logics -- Individual-Collective Duality in Swarm Behaviours -- Syllogistic Systems of Swarm Propagation -- Context-Based Games of Swarms. |
| Record Nr. | UNINA-9910484405103321 |
Schumann Andrew
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| Cham : , : Springer International Publishing : , : Imprint : Springer, , 2019 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Bio-inspired computing . Part II : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others] (editors)
| Bio-inspired computing . Part II : theories and applications : 16th international conference, BIC-TA 2021, Taiyuan, China, December 17-19, 2021 : revised selected papers / / Linqiang Pan [and three others] (editors) |
| Pubbl/distr/stampa | Singapore : , : Springer, , [2022] |
| Descrizione fisica | 1 online resource (448 pages) |
| Disciplina | 006.38 |
| Collana | Communications in computer and information science |
| Soggetto topico |
Natural computation
Artificial intelligence |
| ISBN | 981-19-1253-X |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Machine Learning and Computer Vision -- Point Clouds Registration Algorithm Based on Spatial Structure Similarity of Visual Keypoints -- 1 Introduction -- 2 Method -- 2.1 2D Visual Keypoints -- 2.2 Depth Completion and Back-Project -- 2.3 Screening 3D Keypoints -- 2.4 Rigid Transformation Parameter Estimation -- 3 Experiment -- 3.1 Data and Metrics -- 3.2 Experiment and Comparison -- 4 Conclusion -- References -- Software Defect Prediction Based on SMOTE-Tomek and XGBoost -- 1 Introduction -- 2 Related Work -- 2.1 Sampling Technique -- 2.2 Cost-Sensitive Learning -- 2.3 Ensample Learning Algorithm -- 3 The Proposed Model -- 3.1 SMOTE-Tomek -- 3.2 XGBoost -- 3.3 STX Model -- 4 Experiments -- 4.1 Datasets -- 4.2 Performance Measures -- 4.3 Results and Discussion -- 4.4 Statistical Comparison of Software Defect Predictors -- 5 Conclusion -- References -- Imbalance Classification Based on Deep Learning and Fuzzy Support Vector Machine -- 1 Introduction -- 2 Related Work -- 2.1 Data-Level -- 2.2 Algorithm-Level -- 3 Proposed Method -- 3.1 Feature Extraction with Deep Learning -- 3.2 Random Feature Oversampling Based on Center Distance -- 3.3 Fuzzy Support Vector Machine -- 4 Experiments and Results -- 4.1 Evaluation Metrics and Datasets -- 4.2 Experiment Settings -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Community Detection Based on Surrogate Network -- 1 Introduction -- 2 Preliminaries -- 2.1 Spectral Clustering -- 2.2 EA-Based Community Detection -- 3 Proposed Method -- 4 Experiments -- 4.1 Experimental Setup -- 4.2 Experimental Results and Discussions -- 5 Conclusions -- References -- Fault-Tolerant Scheme of Cloud Task Allocation Based on Deep Reinforcement Learning -- 1 Introduction -- 2 Related Works -- 3 Cloud System and Fault Model.
3.1 Task Model -- 3.2 Fault Model -- 3.3 APSDQN MDP Model -- 4 APSDQN Implementation -- 5 Simulation Experiment -- 5.1 Experimental Setup -- 5.2 Experimental Results and Analysis -- 6 Conclusion -- References -- Attention-Guided Memory Model for Video Object Segmentation -- 1 Introduction -- 2 Related work -- 3 Methodology -- 3.1 Network Overview -- 3.2 Joint Attention Guider -- 3.3 Spatial-Temporal Feature Fusion -- 3.4 Implementation of Other Modules -- 3.5 Network Training -- 4 Experiments -- 4.1 Comparison to State-of-the-Art -- 4.2 Ablation Study -- 5 Conclusion -- References -- Multi-workflow Scheduling Based on Implicit Information Transmission in Cloud Computing Environment -- 1 Introduction -- 2 Workflow Schedule Model -- 2.1 Workflow Model -- 2.2 Problem Expression -- 3 Multifactorial Evolutionary Algorithm for DAG Schedule -- 3.1 MFEA Based on Combinatorial Population (CP-MFEA) -- 3.2 Generation of Population -- 3.3 Generation of Offspring -- 3.4 Evaluate Offspring -- 4 Experiment and Discuss -- 4.1 Basic Workflow Structure -- 4.2 Experimental Setup -- 4.3 Results and Analysis -- 5 Conclusion -- References -- Pose Estimation Based on Snake Model and Inverse Perspective Transform for Elliptical Ring Monocular Vision -- 1 Introduction -- 2 Ellipse Ring Contour Extraction Based on Snake Model -- 2.1 Rough Contour Extraction -- 2.2 Refined Contour Extraction -- 3 Ellipse Correction Based on Inverse Perspective Transformation -- 3.1 Solving Inverse Perspective Transformation Matrix -- 3.2 Ellipse Correction and Pose Estimation -- 4 Experimental Results and Analysis -- 5 Conclusion -- References -- Enhancing Aspect-Based Sentiment Classification with Local Semantic Information -- 1 Introduction -- 2 Related Work -- 3 Preliminaries -- 4 Methodology -- 4.1 Embedding and Bidirectional LSTM -- 4.2 Obtaining Semantic Information. 4.3 FMDG: Obtaining Local Semantic Information -- 4.4 Information Fusion -- 4.5 Sentiment Classification -- 4.6 Training -- 5 Experiments -- 5.1 Dataset and Experiment Setup -- 5.2 Models for Comparison -- 5.3 Overall Result -- 5.4 Ablation Study -- 6 Conclusion -- References -- A Chinese Dataset Building Method Based on Data Hierarchy and Balance Analysis in Knowledge Graph Completion -- 1 Introduction -- 2 Problem Analysis -- 2.1 Existence of Meaningless Triples -- 2.2 Unbalanced Data Volume -- 3 Methods -- 3.1 Use Indicators to Measure Dataset Structure -- 3.2 Method of Constructing Chinese Dataset -- 3.3 Knowledge Graph Completion Model Selection -- 4 Experiments -- 5 Conclusions -- References -- A Method for Formation Control of Autonomous Underwater Vehicle Formation Navigation Based on Consistency -- 1 Introduction -- 2 AUV Formation System Description -- 2.1 Graph Theory -- 2.2 Kinematic Model -- 2.3 Information Interaction Model -- 3 Formation Control Algorithm Design -- 3.1 Definition of Covariate -- 3.2 Second-Order Consistency Control Algorithm -- 3.3 Model Predictive Control Rate Design -- 4 Simulation Research -- 4.1 Simulation Setup -- 4.2 Simulation Results and Analysis -- 5 Conclusion -- References -- A Formation Control Method of AUV Group Combining Consensus Theory and Leader-Follower Method Under Communication Delay -- 1 Introduction -- 2 Preliminaries and Modelling -- 2.1 Graph Theory -- 2.2 AUV Model -- 2.3 Communication Modelling -- 3 Consistency Control Algorithm Based on Leader-Following Method for AUV Group -- 3.1 Consistency Control Algorithm Without Communication Delay -- 3.2 Consistency Control Algorithm with Communication Delay -- 4 Simulation Results -- 4.1 Simulation of Consistency Control Algorithm Without Communication Delay -- 4.2 Simulation of Consistency Control Algorithm with Communication Delay -- 5 Conclusion. References -- stigLD: Stigmergic Coordination of Linked Data Agents -- 1 Introduction -- 2 Varieties of Stigmergy and Related Work -- 3 Process Algebra, Agents and Linked Systems -- 3.1 Theoretical Setting: CCS with Value-Passing -- 3.2 Linked Data Servers, Agents and Linked Systems -- 3.3 Synthesis -- 4 Stigmergy in Linked Systems -- 4.1 stigLD: A Domain Model for Stigmergic Linked Systems -- 4.2 stigFN: SPARQL Functions for Stigmergic Linked Systems -- 5 Use Case: Make-to-Order Fulfilment -- 5.1 Shop Floor Representation in StigLD -- 5.2 Agent Models -- 5.3 Evaluation -- 6 Conclusions and Future Work -- References -- An Approach for Optimal Coverage of Heterogeneous AUV Swarm Based on Consistency Theory -- 1 Introduction -- 2 Problem Formulation and Preliminaries -- 2.1 Voronoi Partition -- 2.2 Bioinspired Model -- 2.3 Region Partition Model -- 3 Optimal Region Partition with Consensus Protocol -- 3.1 Control Strategy Design -- 3.2 Consistency Analysis -- 4 Collaborative Target Search Based on Consensus Protocol -- 4.1 Collaborative Target Search Problem Modeling -- 4.2 Consistency Condition -- 5 Simulation Experiment and Analysis -- 5.1 Simulation of Optimal Region Partition -- 5.2 Simulation of Cooperative Target Search -- 6 Conclusion -- References -- An Improved Event-Triggered Control Method Based on Consistency Algorithm in Heterogeneous AUV Swarm Under Communication Delay -- 1 Introduction -- 2 Problem Description -- 2.1 Multi-AUV Swarm -- 2.2 Heterogeneous AUV Swarm -- 3 Controller Design -- 3.1 Heterogeneous AUV Swarm Consistency Control Algorithm Based on Event-Triggered -- 3.2 Heterogeneous AUV Group Consistency Algorithm Based on Event-Triggered Control Under Communication Time Delay -- 4 Simulation and Analysis -- 4.1 Simulation of Heterogeneous AUV Cluster Consistency Algorithm under Event Trigger Control. 4.2 Simulation of Heterogeneous AUV Cluster Consistency Algorithm with Time Delay Under Event Trigger Control -- 5 Conclusion -- References -- Edge Computing Energy-Efficient Resource Scheduling Based on Deep Reinforcement Learning and Imitation Learning -- 1 Introduction -- 2 Related Works -- 3 Scheduling System -- 3.1 Workload Processor -- 3.2 Problem Definition -- 3.3 Environment Model -- 4 Simulation Experiment -- 5 Conclusion -- References -- Metric Learning with Distillation for Overcoming Catastrophic Forgetting -- 1 Introduction -- 2 Related Work -- 2.1 Incremental Learning -- 2.2 Metric Learning -- 2.3 Knowledge Distillation -- 3 Proposed Method -- 3.1 Network Structure and its Losses -- 3.2 Knowledge Distillation Embedded in the Network -- 3.3 Classifier -- 4 Experiment -- 4.1 Datasets -- 4.2 Implementation Details -- 4.3 Ablation Experiment -- 4.4 Comparison Methods -- 5 Conclusions -- References -- Feature Enhanced and Context Inference Network for Pancreas Segmentation -- 1 Introduction -- 2 Related Work -- 2.1 Deep Learning Methods -- 2.2 Attention Mechanism -- 3 Methods -- 3.1 Feature Encoder -- 3.2 Feature Space Mapping -- 3.3 Feature Enhancement -- 3.4 Decoder -- 4 Experiment -- 4.1 Experiment Setup -- 4.2 Comparative Experiments -- 4.3 Comparative Experiments -- 5 Discussion and Conclusion -- References -- Object Relations Focused Siamese Network for Remote Sensing Image Change Detection -- 1 Introduction -- 2 Related Work -- 3 Methods -- 3.1 Basic Network Architecture -- 3.2 Geo-Objects Relations Module -- 3.3 Feature Enhancement -- 4 Experiment -- 4.1 Experiment Settings -- 4.2 Ablation Experiments -- 4.3 Comparative Experiments -- 5 Conclusion -- References -- MLFF: Multiple Low-Level Features Fusion Model for Retinal Vessel Segmentation -- 1 Introduction -- 2 Related Works -- 3 Multiple Low-Level Feature Fusion Model. 3.1 Multiple Low-Level Feature Extraction. |
| Record Nr. | UNISA-996464536203316 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
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