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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 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 Decision making Mechanics Mechanics, Applied Optical data processing Computational Intelligence Optimization Artificial Intelligence Operations Research/Decision Theory Theoretical and Applied 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 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 2021 ; 24-26 July 2021, Guiyang, China / / editors, Quan Xie [et al.]
| Advances in natural computation, fuzzy systems and knowledge discovery : proceedings of the ICNC-FSKD 2021 ; 24-26 July 2021, Guiyang, China / / editors, Quan Xie [et al.] |
| Pubbl/distr/stampa | Cham, Switzerland : , : 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 |
Data mining
Fuzzy systems Natural computation |
| ISBN | 3-030-89698-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Record Nr. | UNINA-9910523738403321 |
| Cham, Switzerland : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Advances in natural computation, fuzzy systems and knowledge discovery / / editors, Hongying Meng [and five others]
| Advances in natural computation, fuzzy systems and knowledge discovery / / editors, Hongying Meng [and five others] |
| Pubbl/distr/stampa | Cham, Switzerland : , : Springer, , [2021] |
| Descrizione fisica | 1 online resource (1951 pages) |
| Disciplina | 006.38 |
| Collana | Lecture Notes on Data Engineering and Communications Technologies |
| Soggetto topico |
Natural computation
Fuzzy systems Sistemes borrosos Mineria de dades |
| Soggetto genere / forma | Llibres electrònics |
| ISBN | 3-030-70665-6 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- General Chairs -- Program Chairs -- Organizing Chairs -- Finance Chairs -- Tutorial Chairs -- Registration Chairs -- Publication Chairs -- Publicity Chairs -- Contents -- Derivation of Multitemporal Kauth-Thoms Transformation for GF-2 mIHS Pansharpening Digital Number Data -- 1 Introduction -- 2 Data and Methods -- 2.1 Data -- 2.2 Kauth-Thomas Transformation -- 3 Results and Discussions -- 4 Conclusions -- References -- Quasi-circular Vegetation Patch Mapping with Multitemporal Kauth-Thomas Transformation of the mIHS Pansharpened GF-2 Images -- 1 Introduction -- 2 Materials and Methods -- 2.1 Study Site -- 2.2 Gaofen-2 Data -- 2.3 Multitemporal Kauth-Thomas Transformation -- 3 Results and Discussions -- 4 Conclusions -- References -- Prediction of Hot Events Forwarding Based on Variable-Order SEIR Infectious Disease Model -- 1 Introduction -- 2 Modeling of Event Forwarding Prediction -- 2.1 Traditional Integer-Order SEIR Model -- 2.2 The Variable-Order SEIR Model -- 3 Results and Discussion -- 3.1 The Effect of Changing Probability , on the SEIR Epidemic Model -- 3.2 Comparison Between the Variable-Order and Traditional SEIR Model -- 3.3 Comparison of the Variable-Order SEIR Model and BP Neural Network Prediction -- 4 Conclusion -- References -- Research on Innovation of Chinese Medicine Prescriptions Based on Fuzzy Clustering and Fuzzy Pattern Recognition -- 1 Introduction -- 2 Fuzzy Membership Degree and Fuzzy Quantification Method -- 2.1 Fuzzy Clustering Analysis -- 3 Experiment of Clustering Analysis -- 4 Fuzzy Pattern Recognition -- 5 Experiment of Fuzzy Pattern Recognition -- 6 Conclusion -- References -- A Conceptual Professional Assessment Model Based RDF Data Crowdsourcing -- 1 Introduction -- 2 Related Work -- 3 Worker Concept Professional Assessment Model -- 3.1 Related Definitions.
3.2 Conceptual Professional Assessment Model Architecture -- 3.3 Conceptual Alignment Strategy Based on Standard Knowledge Base -- 3.4 Test Task Extraction -- 3.5 Option Build -- 4 Experimental Design and Experimental Analysis -- 4.1 Experimental Dataset -- 4.2 Experiment Design and Result Analysis -- 5 Conclusion -- References -- MAHS: A System for Mining and Analysing Hot-Spots from Bike-Sharing Data -- 1 Introduction -- 2 System Overview -- 3 Demonstration Scenario -- 4 Conclusion -- References -- The Construction of Integrated Product Development Framework in Aviation Manufacturing Enterprise -- 1 Introduce -- 2 IPD System Construction and Practice -- 2.1 Development Activity Structure -- 2.2 Project Team Organization -- 2.3 Decision Making -- 2.4 Development Tools and Techniques -- 2.5 Product Strategy Process -- 2.6 Technology Management -- 2.7 Pipeline Management -- 2.8 IT Environment -- 3 Conclusion -- References -- Multi-label Learning with Missing Labels Based on Instance-Wise and Label-Wise Correlations for Image Classification -- 1 Introduction -- 2 Related Works -- 3 The Proposed Method -- 3.1 Label Consistency -- 3.2 Instance-Wise Correlation -- 3.3 Label-Wise Correlation -- 3.4 The Objective Function -- 4 Experiments -- 4.1 Datasets -- 4.2 Experimenting Settings -- 4.3 Results and Analyses -- 5 Conclusion -- References -- Policy System and Market Mechanism Suggestion of Energy Storage Industry in China -- 1 Introduction -- 2 Domestic and Overseas Energy Storage Related Policies and Market Mechanisms -- 3 Domestic Policies Status -- 4 Policy Suggestions on Energy Storage Development in China -- 4.1 Improving Market Operating of Energy Storage Participating in Auxiliary Service -- 4.2 Accelerating the Power Demand Side Management for Promoting the Construction of Energy Storage on Power User Side. 4.3 Setting Priorities for Scheduling Process of Energy Storage System -- 4.4 Promoting Market-Oriented Development of Energy Storage by Increasing Related Tax Preference -- 4.5 Promoting the Power Capacity System Reform -- 5 Conclusion -- References -- Insights into Markets for Technology in China: Evidence from Patent Trades -- 1 Introduction -- 2 Literature Review -- 3 Data Source and Methodology -- 3.1 Data Source -- 3.2 Methodology -- 4 Results -- 4.1 General Trend of Patent Trades -- 4.2 Ingredients of Markets for Technology -- 5 Discussions and Conclusions -- References -- Cloud Task Prediction Model Based on Singular Spectrum Analysis, Empirical Mode Decomposition and Temporal Convolutional Network -- 1 Introduction -- 2 Proposed Mode and Related Methods and Model -- 2.1 Singular Spectrum Analysis -- 2.2 Empirical Mode Decomposition -- 2.3 Temporal Convolution Network -- 3 Experiments Results and Analysis -- 3.1 Data Processing -- 3.2 Compared with Other Algorithms and Analysis -- 4 Conclusions and Future Work -- References -- Mining High Utility Itemsets Using Ant Colony Optimization -- 1 Introduction -- 2 Preliminaries -- 2.1 Problem of HUIM -- 2.2 Ant Colony Optimization -- 3 Modeling HUIM Using ACO -- 3.1 Pheromone Matrix -- 3.2 Initialization of Search Path -- 3.3 State Transition Rule -- 4 Mining HUIs Using ACO -- 4.1 Bitmap Item Information Representation -- 4.2 Proposed Algorithm -- 5 Performance Evaluation -- 5.1 Test Environment and Datasets -- 5.2 Runtime -- 5.3 Number of Discovered HUIs -- 6 Conclusions -- References -- A Hierarchical Scene Text Detector Concerning Hard Examples -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Network Design -- 3.2 Label Generation -- 3.3 Multi-level Prediction with FPN -- 3.4 Edge Inhibition Branch -- 3.5 Loss Function -- 4 Experiments -- 4.1 Datasets. 4.2 Determination of Loss Function Parameters -- 4.3 Comparison with State-of-art Detectors -- 5 Conclusion and Future Work -- References -- Edge Guided Loss in Image Inpainting -- 1 Introduction -- 2 Related Work -- 2.1 Partial Convolution Layer -- 2.2 Perceptual Loss and Style Loss -- 3 Proposed Method -- 3.1 Edge Guided Loss Term -- 3.2 Weighted Perceptual Loss -- 3.3 Total Loss Function -- 4 Experiments -- 4.1 Training -- 4.2 The Learning Curve of Sobel Loss Function -- 4.3 Experimental Results -- 5 Conclusion -- References -- Speech Enhancement Based on Deep Neural Network and Recurrent Neural Network -- 1 Introduction -- 2 Speech Enhancement Based on DNN and RNN -- 2.1 DNN-Based Speech Enhancement -- 2.2 RNN Model and Model Fusion -- 3 Experiments -- 3.1 Experimental Configurations -- 3.2 Results and Analysis -- 4 Conclusion -- References -- Collaborative Filtering Recommendation Combining Adversarial Network and Attention Mechanism -- 1 Introduction -- 2 Related Work -- 2.1 Generate Adversarial Network Module -- 2.2 Attention Mechanism Model -- 2.3 ACFGAN -- 3 Experiment and Analysis -- 3.1 Data Set Introduction and Preprocessing -- 3.2 Experimental Parameters -- 3.3 Experimental Results and Analysis -- 4 Conclusions and Expectations -- References -- Fractional STIR Epidemic Model for Opinion Dissemination in Social Networks -- 1 Introduction -- 2 Related Work -- 3 The Model Establishment -- 3.1 The Traditional SIR Model -- 3.2 The Fractional STIR Model -- 4 Simulation Results and Analysis -- 5 Conclusion -- References -- Heterogeneous-Aware Online Cloud Task Scheduler Based on Clustering and Deep Reinforcement Learning Ensemble -- 1 Introduction -- 2 Related Work -- 3 Scheduling Algorithm -- 3.1 Problem Formulation -- 3.2 Task Scheduling Algorithm -- 4 Experiments -- 5 Conclusion -- References. High-Low Spatial Frequency Feature for Siamese Network Visual Tracking -- 1 Introduction -- 2 Related Work -- 2.1 Siamese Network Trace -- 2.2 High Performance Feature Extractors -- 3 Method -- 3.1 Siamese Framework Trackers -- 3.2 Combine High- and Low-Frequency Feature Maps -- 3.3 Change the ResNet with New Convolution -- 4 Experiment -- 4.1 Implementation Details -- 4.2 Value of Low-Frequency Channels -- 4.3 Compare Siamese-Res and Our Siamese Trackers -- 4.4 Result and Analyses -- 5 Conclusion -- References -- Chinese License Plate Character Recognition Algorithm Based on Perceptron and Deep Neural Network -- 1 Introduction -- 2 Algorithm Framework -- 2.1 Design of Superposition Operation and Similarity Operation Based on Perceptron -- 2.2 Design of Difference Operation Based on DNN -- 3 Design of the Character Templates -- 4 Character Recognition -- 5 Experimental Simulation and Analysis -- 6 Conclusion -- References -- Research on Emergency Mission Planning Model and Algorithm of Networking Autonomous Imaging Satellite -- 1 Introduction -- 2 Model Research -- 2.1 Research Hypothesis -- 2.2 Symbol Definition -- 2.3 Constraint Design -- 2.4 Multi-objective Function Design -- 2.5 Optimize Multiple Objectives -- 3 Algorithm Research -- 4 Algorithm Effect Analysis -- 5 Conclusion -- References -- New Global Membership Scaling Fuzzy C-Means Clustering Algorithm -- 1 Introduction -- 2 Review and Some New Findings of FCM -- 3 The Global Membership Degrees Scaling Scheme -- 3.1 New Interpretation About the Membership Degree -- 3.2 How to Filter Efficiently -- 3.3 How to Choose the Increment/Decrement of Membership Degree -- 4 Experimental Results -- 4.1 Experiments on Synthetic Data Sets -- 4.2 Experiments on Real World Data Sets -- 5 Conclusion -- References -- Mining Similar Words with Similarity Ranking -- 1 Introduction. 2 Mining Similar Word Based on Word2vec. |
| Record Nr. | UNINA-9910488710903321 |
| Cham, Switzerland : , : 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
Knowledge representation (Information theory) 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 |
Electrical engineering
Computational intelligence Artificial intelligence Computational complexity Bioinformatics Communications Engineering, Networks Computational Intelligence Artificial Intelligence Complexity |
| 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 computing model 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 | ||
| ||
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. | UNINA-9910556893003321 |
| Singapore : , : Springer, , [2022] | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
