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Advances in Wireless Sensor Networks [[electronic resource] ] : 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers / / edited by Ruchuan Wang, Fu Xiao
| Advances in Wireless Sensor Networks [[electronic resource] ] : 6th China Conference, CWSN 2012, Huangshan, China, October 25-27, 2012, Revised Selected Papers / / edited by Ruchuan Wang, Fu Xiao |
| Edizione | [1st ed. 2013.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 |
| Descrizione fisica | 1 online resource (XIV, 755 p. 403 illus.) |
| Disciplina | 004.6 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Computer communication systems
Architecture, Computer Algorithms Computer Communication Networks Computer System Implementation Algorithm Analysis and Problem Complexity |
| ISBN | 3-642-36252-4 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Design and Implementation of Cooperative Platform for Multiple Devices Based on Multi-Agent System in Ubiquitous Networking Environment -- Research on Data Fault Tolerance Mechanism Based on ECT in Cloud Storage.- Live Migration of Virtual Machines Based on DPDT.- Storage and Management Strategy for Heterogeneous Data Stream Based on Mutation Information.- A Data Gathering Approach for Wireless Sensor Network with Quadrotor-Based Mobile Sink Node.- A Node Design for Intelligent Traffic Monitoring Based on Magnetic Sensor.- A Lightweight RFID Mutual Authentication Protocol with Ownership Transfer.- Network Topology Effects on Reachback Firefly Algorithm in Slot Synchronization.- Opportunistic Routing in Multi-Power Wireless Sensor Networks.- Improved DV-Hop Localization Algorithm Based on RSSI Value and Hop Correction.- A Candidate Forwarder Set Based Channel Assignment for Opportunistic Routing in Multi-radio Wireless Mesh Networks.- The Analysis of Anchor Placement for Self-localization Algorithm in Wireless Sensor Networks.- Low-Cost VR System Based on Wireless Accelerometer Sensor.- Using Sensor Web to Sharing Data of Ocean Observing Systems.- A Survey on Event Processing for CPS.- MND: An Information of Detected Neighbors Based Multi-channel Neighbor Discovery Protocol for Wireless Sensor Networks.- Research on Network Malicious Code Dendritic Cell Immune Algorithm Based on Fuzzy Weighted Support Vector Machine.- Ant Colony Based Routing Strategy in UAV Delay Tolerant Networks.- Deploying Three-Dimensional Mobile Sensor Networks Based on Virtual Forces Algorithm -- A Module Harvesting Wind and Solar Energy for Wireless Sensor Node -- Integrated Tracking Initiation Mechanism Based on Probability for Bearing-Only Sensor Networks.- Graph-Based Multi-hop Cooperative MIMO Scheme for Heterogeneous WSN -- Research of Adaptive Frequency Hopping Technology in WIA-PA Industrial Wireless Network -- Novel Three-Party Password-Based Authenticated Key Exchange Protocol for Wireless Sensor Networks -- TFA: A Scale-Free Network Approach to Topology Formation in Underwater Acoustic Sensor Networks -- Full-View Coverage Algorithm in Camera Sensor Networks with Random Deployment -- A Novel Real-Time Traffic Information Collection System Based on Smartphone -- Detection Performance Optimization Based Power Allocation between Sensing and Communication in Wireless Sensor Networks -- A User-Oriented Resource Management Model for the Internet of Things -- Distributed Joint Optimal Control of Power and Rate with Clustered Routing Protocol in Wireless Sensor Networks -- Sweep Coverage with Mobile Sensors on Two-Way Road -- H-Mac: A Hybrid MAC Protocol for VANET.- Placement and Selection Algorithm of Reference Nodes in WSN Localization.- A Distributed Broadcast Protocol of Wireless Sensor Networks Based on Dynamic Multi-channel MAC Protocol -- Mobile Agent Based Coding Aware Multipath Routing for Wireless Sensor Network -- Maximizing the Lifetime of Unreliable Sensor Networks with Delay Constraint via Genetic Algorithm.- Wireless Sensor Network Time Synchronization Algorithm Based on SFD -- Dynamic Bluetooth Packet Selection Strategy Based on Wi-Fi White-Space Prediction -- An Energy-Aware Routing for Maximum Lifetime in Wireless Sensor Networks -- Research and Implementation of the System Manager Based on Android Platform for Wireless Sensor Network -- The Key Technologies and Development Research of Chinese Light Industry IOT Application -- The Research of Routing Forwarding Strategies in DTNs Based on Convergence Point -- Analysis and Construction of Efficient RFID Authentication Protocol with Backward Privacy -- A New TCP Design for Satellite-HAP Networks -- Layered Pre-selection Model Based on the Trust Mechanism for Web Educational Resources -- Cyber-Physical Traffic Systems: Architecture and Implementation Techniques -- An Energy Efficiency Evaluation Model Based on the Mechanical Work System -- An Energy Efficiency Dynamic Routing Protocol for Farmland Moisture Sensor Networks -- A Novel Method for Passive Objective Adaption Localization Using Sensing Link -- Frequency Selection in ECRT-Based Radio Interferometric Ranging -- Design and Implementation of Testing Platform for Middleware of Wireless Sensor Networks -- A Partitioned Link Scheduling Algorithm for Wireless Multimedia Sensor Networks -- Research of Green Moisture Monitoring Node Based on Hardware Modular Design -- Energy-Efficient Multi-hop Routing Algorithm Based on LEACH -- A Regularity-Based Connectivity Analysis of Three-Dimensional Wireless Sensor Networks -- On the Optimum Placement and Number Selection of Relay Nodes in Multi-hop Routing for Minimizing Communication Power Consumption -- AR-HS: Ant Routing Optimized Algorithm on HAPs-Satellite Integrated Networks -- R-AODV: A Cognitive AODV Routing Algorithm in Wireless Network -- An Overview on Node Behavior Trust Evaluation in Ad Hoc Network -- Array-Forming Wireless Sensor Network Framework for Target Monitoring and System Scheduling -- A Reliable Congestion Avoidance Protocol for Wireless Sensor Networks -- A Cooperative Routing Algorithm for Maximizing Network Lifetime -- A Dynamic Web Services Selection Algorithm Based on Trust Model for Grid Environment -- A Real-Time Micro-sensor Motion Capture System -- Periodic Data Prediction Algorithm in Wireless Sensor Networks -- Filtering Algorithms for Chirp-Spread-Spectrum Ranging -- A Secure DV-Hop Localization Algorithm Based on Secure Beacon Nodes -- Improvement on Localization Error and Adaptability in DV-Hop Algorithm -- The Chained Mesh-Under Routing (C-MUR) for Improving IPv6 Packet Arrival Rate over Wireless Sensor Networks -- Compressed Sensing Data Fusion of Monitoring Cyanobacteria Bloom-Forming. Research on Data Fault Tolerance Mechanism Based on ECT in Cloud Storage.- Live Migration of Virtual Machines Based on DPDT.- Storage and Management Strategy for Heterogeneous Data Stream Based on Mutation Information.- A Data Gathering Approach for Wireless Sensor Network with Quadrotor-Based Mobile Sink Node.- A Node Design for Intelligent Traffic Monitoring Based on Magnetic Sensor.- A Lightweight RFID Mutual Authentication Protocol with Ownership Transfer.- Network Topology Effects on Reachback Firefly Algorithm in Slot Synchronization.- Opportunistic Routing in Multi-Power Wireless Sensor Networks.- Improved DV-Hop Localization Algorithm Based on RSSI Value and Hop Correction.- A Candidate Forwarder Set Based Channel Assignment for Opportunistic Routing in Multi-radio Wireless Mesh Networks.- The Analysis of Anchor Placement for Self-localization Algorithm in Wireless Sensor Networks.- Low-Cost VR System Based on Wireless Accelerometer Sensor.- Using Sensor Web to Sharing Data of Ocean Observing Systems.- A Survey on Event Processing for CPS.- MND: An Information of Detected Neighbors Based Multi-channel Neighbor Discovery Protocol for Wireless Sensor Networks.- Research on Network Malicious Code Dendritic Cell Immune Algorithm Based on Fuzzy Weighted Support Vector Machine.- Ant Colony Based Routing Strategy in UAV Delay Tolerant Networks.- Deploying Three-Dimensional Mobile Sensor Networks Based on Virtual Forces Algorithm -- A Module Harvesting Wind and Solar Energy for Wireless Sensor Node -- Integrated Tracking Initiation Mechanism Based on Probability for Bearing-Only Sensor Networks.- Graph-Based Multi-hop Cooperative MIMO Scheme for Heterogeneous WSN -- Research of Adaptive Frequency Hopping Technology in WIA-PA Industrial Wireless Network -- Novel Three-Party Password-Based Authenticated Key Exchange Protocol for Wireless Sensor Networks -- TFA: A Scale-Free Network Approach to Topology Formation in Underwater Acoustic Sensor Networks -- Full-View Coverage Algorithm in Camera Sensor Networks with Random Deployment -- A Novel Real-Time Traffic Information Collection System Based on Smartphone -- Detection Performance Optimization Based Power Allocation between Sensing and Communication in Wireless Sensor Networks -- A User-Oriented Resource Management Model for the Internet of Things -- Distributed Joint Optimal Control of Power and Rate with Clustered Routing Protocol in Wireless Sensor Networks -- Sweep Coverage with Mobile Sensors on Two-Way Road -- H-Mac: A Hybrid MAC Protocol for VANET.- Placement and Selection Algorithm of Reference Nodes in WSN Localization.- A Distributed Broadcast Protocol of Wireless Sensor Networks Based on Dynamic Multi-channel MAC Protocol -- Mobile Agent Based Coding Aware Multipath Routing for Wireless Sensor Network -- Maximizing the Lifetime of Unreliable Sensor Networks with Delay Constraint via Genetic Algorithm.- Wireless Sensor Network Time Synchronization Algorithm Based on SFD -- Dynamic Bluetooth Packet Selection Strategy Based on Wi-Fi White-Space Prediction -- An Energy-Aware Routing for Maximum Lifetime in Wireless Sensor Networks -- Research and Implementation of the System Manager Based on Android Platform for Wireless Sensor Network -- The Key Technologies and Development Research of Chinese Light Industry IOT Application -- The Research of Routing Forwarding Strategies in DTNs Based on Convergence Point -- Analysis and Construction of Efficient RFID Authentication Protocol with Backward Privacy -- A New TCP Design for Satellite-HAP Networks -- Layered Pre-selection Model Based on the Trust Mechanism for Web Educational Resources -- Cyber-Physical Traffic Systems: Architecture and Implementation Techniques -- An Energy Efficiency Evaluation Model Based on the Mechanical Work System -- An Energy Efficiency Dynamic Routing Protocol for Farmland Moisture Sensor Networks -- A Novel Method for Passive Objective Adaption Localization Using Sensing Link -- Frequency Selection in ECRT-Based Radio Interferometric Ranging -- Design and Implementation of Testing Platform for Middleware of Wireless Sensor Networks -- A Partitioned Link Scheduling Algorithm . |
| Record Nr. | UNINA-9910437600403321 |
| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2013 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data : 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings
| Big Data : 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings |
| Autore | Chen Enhong |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (209 pages) |
| Altri autori (Persone) |
GaoYang
CaoLongbing XiaoFu CuiYiping GuRong WangLi CuiLaizhong YangWanqi |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9989-79-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Long-Term and Short-Term Perception in Knowledge Tracing -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Tracing -- 2.2 Recent Advances in MLP -- 3 Question Definition -- 3.1 Concepts and Data Representation -- 3.2 Interaction Record Representation -- 3.3 Objective of Knowledge Tracing -- 4 Method -- 4.1 2PL-IRT Based Embedding Layer -- 4.2 Long-Term and Short-Term Perception Layer -- 4.3 Response Prediction Layer -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Setup -- 5.4 Experimental Results -- 5.5 Ablation Study -- 5.6 Hyper-parameters Analysis -- 6 Conclusion and Future Work -- References -- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series -- 1 Introduction -- 2 Method -- 2.1 Datasets -- 2.2 The Framework of Proposed Method -- 2.3 Baselines -- 2.4 Proposed Transfer Learning Strategy -- 2.5 Evaluation Metrics -- 3 Results and Discussion -- 3.1 Experimental Settings -- 3.2 Comparison of Time-Series and Its Sub-sequences -- 3.3 Comparison of Sub-ARIMA Models -- 3.4 Comparison of MVMD-Hybrid Framework -- 4 Conclusion -- References -- Dataset Search over Integrated Metadata from China's Public Data Open Platforms -- 1 Introduction -- 2 Crawling and Integration of Dataset Metadata -- 2.1 Crawling of Dataset Metadata -- 2.2 Integration of Dataset Metadata -- 3 Dataset Search over Integrated Metadata -- 3.1 Keyword-Based Retrieval -- 3.2 Diversity-Based Re-ranking -- 3.3 Attribute-Based Filtering -- 4 Experiments -- 4.1 Keyword-Based Retrieval -- 4.2 Diversity-Based Re-ranking -- 4.3 Data Catalog Consolidation -- 5 Related Work -- 5.1 National PDOPs in Other Countries -- 5.2 Dataset Search -- 6 Conclusion and Future Work -- References -- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification.
1 Introduction -- 2 Related Work -- 2.1 Single CNN for DR Classification -- 2.2 Multiple CNNs for DR Classification -- 3 Methodology -- 3.1 Overview of GA-DCNN -- 3.2 GCA-SA Module -- 3.3 The Strategy of Integrating DCNNs with GA -- 4 Experiment Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Results and Analysis -- 5 Conclusion -- References -- The Convolutional Neural Network Combing Feature-Aligned and Attention Pyramid for Fine-Grained Visual Classification -- 1 Introduction -- 2 Related Work -- 2.1 Methods Using Multi-scale Information -- 2.2 Methods Using Attention Mechanisms -- 3 The Convolutional Neural Network Combing Feature-Aligned and Attention Pyramid -- 3.1 Bottom-Up Multi-scale Feature Module -- 3.2 Top-Down Attention Module -- 3.3 ROI Feature Refinement -- 4 Experimental Results and Analysis -- 4.1 Model Implementation Details -- 4.2 Comparison with State-of-the-art Methods -- 4.3 Ablation Studies -- 4.4 Visualization -- 5 Conclusion -- References -- OCWYOLO: A Road Depression Detection Method -- 1 Introduction -- 2 Related Work -- 2.1 Object Detection Method -- 2.2 Intersection Over Union -- 2.3 Dynamic Weight Networks -- 2.4 Attention Mechanism -- 3 Methods -- 3.1 Network Architecture -- 3.2 Loss Function Optimization -- 3.3 Attention Mechanism -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Comparative Experiments -- 4.3 Ablation Experiments -- 4.4 Visualize Results -- 5 Conclusion -- References -- Explicit Exploring Geometric Modality for Shape-Enhanced Single-View 3D Face Reconstruction -- 1 Introduction -- 2 Method -- 2.1 Preliminary: 3DMM and Projection -- 3 Network -- 4 Loss Criteria -- 5 Experiments -- 5.1 Training Details -- 5.2 3D Face Reconstruction -- 5.3 3D Face Alignment Results -- 5.4 Ablation Study -- 6 Conclusion -- References. Fine Edge and Texture Prior Guided Super Resolution Reconstruction Network -- 1 Introduction -- 2 Related Works -- 2.1 Single Image Super-Resolution -- 2.2 Prior Information Assisted Image Reconstruction -- 3 Methodology -- 3.1 Architecture -- 3.2 Shallow Feature Extraction Network (SFEN) -- 3.3 Fine Texture Reconstruction Network (FTRN) -- 3.4 Fine Edge Reconstruction Network (FERN) -- 3.5 Image Refinement Network (IRN) -- 4 Experiments -- 4.1 Datasets -- 4.2 Implements Details -- 4.3 Qualitative Comparisons and Discussion -- 4.4 Quantitative Comparisons and Discussion -- 5 Analysis and Discussion -- 5.1 Effectiveness of the Prior Information -- 5.2 Study of -- 6 Conclusion -- References -- UD-GCN: Uncertainty-Based Semi-supervised Deep GCN for Imbalanced Node Classification -- 1 Introduction -- 1.1 Introduction -- 2 Methodology -- 2.1 Adaptive Under-Sampling -- 2.2 Recursive Optimization for Deep GCN -- 2.3 Algorithm Formalization -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Performance Comparison -- 3.3 Sensitivity to the Number of Model Layers -- 4 Conclusion -- References -- Twin Support Vector Regression with Privileged Information -- 1 Introduction -- 2 Related Works -- 2.1 Support Vector Regression -- 2.2 Twin Support Vector Regression -- 3 Twin Support Vector Regression with Privileged Information -- 4 Experiment -- 4.1 Datasets and Setting -- 4.2 Experiments Analysis -- 4.3 Computing Time -- 5 Conclusions -- References -- Detecting Social Robots Based on Multi-view Graph Transformer -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Topic Graph Construction -- 3.2 Graph Augmentation -- 3.3 Mult-view Graph Transformer -- 3.4 Mult-view Attention -- 3.5 Training and Optimization -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines -- 4.3 Model Architecture Study -- 5 Conclusion -- References. Scheduling Containerized Workflow in Multi-cluster Kubernetes -- 1 Introduction -- 2 Related Work -- 3 Design -- 3.1 Scientific Workflow -- 3.2 Two-Level Scheduling Scheme -- 3.3 CWC Architecture -- 3.4 CWS Architecture -- 3.5 Workflow Injection Module -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Workflow Example -- 4.3 Results and Analysis -- 5 Conclusion -- References -- A Study of Electricity Theft Detection Method Based on Anomaly Transformer -- 1 Introduction -- 2 Characteristic Analysis and Data Expansion -- 2.1 Data Analysis -- 2.2 Data Expansion Mechanism -- 2.3 Feature Analysis -- 3 Electricity Theft Detection Model -- 3.1 Electricity Theft Detection Methods -- 3.2 Electricity Theft Detection Specific Process -- 4 Experimental Evaluation -- 4.1 Data Expansion Performance Evaluation -- 4.2 Dataset Preparation -- 4.3 Evaluation Metrics -- 4.4 Model Parameters -- 4.5 Analysis of Results -- 5 Conclusion -- References -- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks -- 1 Introduction -- 2 Related Work -- 2.1 LoRA -- 2.2 P-Tuning -- 2.3 Freeze Fine-Tuning -- 3 Methodology -- 4 Experiment -- 4.1 Objective -- 4.2 Dataset -- 4.3 Fine-Tuning Pre-trained Models -- 4.4 Experimental Environment -- 4.5 Experimental Process -- 5 Experimental Result and Analysis -- 6 Conclusion -- References -- Author Index. |
| Record Nr. | UNINA-9910770269803321 |
Chen Enhong
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Big Data : 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings
| Big Data : 11th CCF Conference, BigData 2023, Nanjing, China, September 8-10, 2023, Proceedings |
| Autore | Chen Enhong |
| Edizione | [1st ed.] |
| Pubbl/distr/stampa | Singapore : , : Springer, , 2024 |
| Descrizione fisica | 1 online resource (209 pages) |
| Altri autori (Persone) |
GaoYang
CaoLongbing XiaoFu CuiYiping GuRong WangLi CuiLaizhong YangWanqi |
| Collana | Communications in Computer and Information Science Series |
| ISBN | 981-9989-79-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents -- Long-Term and Short-Term Perception in Knowledge Tracing -- 1 Introduction -- 2 Related Work -- 2.1 Knowledge Tracing -- 2.2 Recent Advances in MLP -- 3 Question Definition -- 3.1 Concepts and Data Representation -- 3.2 Interaction Record Representation -- 3.3 Objective of Knowledge Tracing -- 4 Method -- 4.1 2PL-IRT Based Embedding Layer -- 4.2 Long-Term and Short-Term Perception Layer -- 4.3 Response Prediction Layer -- 5 Experiments -- 5.1 Datasets -- 5.2 Baselines -- 5.3 Experimental Setup -- 5.4 Experimental Results -- 5.5 Ablation Study -- 5.6 Hyper-parameters Analysis -- 6 Conclusion and Future Work -- References -- A Transfer Learning Enhanced Decomposition-Based Hybrid Framework for Forecasting Multiple Time-Series -- 1 Introduction -- 2 Method -- 2.1 Datasets -- 2.2 The Framework of Proposed Method -- 2.3 Baselines -- 2.4 Proposed Transfer Learning Strategy -- 2.5 Evaluation Metrics -- 3 Results and Discussion -- 3.1 Experimental Settings -- 3.2 Comparison of Time-Series and Its Sub-sequences -- 3.3 Comparison of Sub-ARIMA Models -- 3.4 Comparison of MVMD-Hybrid Framework -- 4 Conclusion -- References -- Dataset Search over Integrated Metadata from China's Public Data Open Platforms -- 1 Introduction -- 2 Crawling and Integration of Dataset Metadata -- 2.1 Crawling of Dataset Metadata -- 2.2 Integration of Dataset Metadata -- 3 Dataset Search over Integrated Metadata -- 3.1 Keyword-Based Retrieval -- 3.2 Diversity-Based Re-ranking -- 3.3 Attribute-Based Filtering -- 4 Experiments -- 4.1 Keyword-Based Retrieval -- 4.2 Diversity-Based Re-ranking -- 4.3 Data Catalog Consolidation -- 5 Related Work -- 5.1 National PDOPs in Other Countries -- 5.2 Dataset Search -- 6 Conclusion and Future Work -- References -- Integrating DCNNs with Genetic Algorithm for Diabetic Retinopathy Classification.
1 Introduction -- 2 Related Work -- 2.1 Single CNN for DR Classification -- 2.2 Multiple CNNs for DR Classification -- 3 Methodology -- 3.1 Overview of GA-DCNN -- 3.2 GCA-SA Module -- 3.3 The Strategy of Integrating DCNNs with GA -- 4 Experiment Results -- 4.1 Dataset -- 4.2 Evaluation Metrics -- 4.3 Results and Analysis -- 5 Conclusion -- References -- The Convolutional Neural Network Combing Feature-Aligned and Attention Pyramid for Fine-Grained Visual Classification -- 1 Introduction -- 2 Related Work -- 2.1 Methods Using Multi-scale Information -- 2.2 Methods Using Attention Mechanisms -- 3 The Convolutional Neural Network Combing Feature-Aligned and Attention Pyramid -- 3.1 Bottom-Up Multi-scale Feature Module -- 3.2 Top-Down Attention Module -- 3.3 ROI Feature Refinement -- 4 Experimental Results and Analysis -- 4.1 Model Implementation Details -- 4.2 Comparison with State-of-the-art Methods -- 4.3 Ablation Studies -- 4.4 Visualization -- 5 Conclusion -- References -- OCWYOLO: A Road Depression Detection Method -- 1 Introduction -- 2 Related Work -- 2.1 Object Detection Method -- 2.2 Intersection Over Union -- 2.3 Dynamic Weight Networks -- 2.4 Attention Mechanism -- 3 Methods -- 3.1 Network Architecture -- 3.2 Loss Function Optimization -- 3.3 Attention Mechanism -- 4 Experiments -- 4.1 Datasets and Implementation Details -- 4.2 Comparative Experiments -- 4.3 Ablation Experiments -- 4.4 Visualize Results -- 5 Conclusion -- References -- Explicit Exploring Geometric Modality for Shape-Enhanced Single-View 3D Face Reconstruction -- 1 Introduction -- 2 Method -- 2.1 Preliminary: 3DMM and Projection -- 3 Network -- 4 Loss Criteria -- 5 Experiments -- 5.1 Training Details -- 5.2 3D Face Reconstruction -- 5.3 3D Face Alignment Results -- 5.4 Ablation Study -- 6 Conclusion -- References. Fine Edge and Texture Prior Guided Super Resolution Reconstruction Network -- 1 Introduction -- 2 Related Works -- 2.1 Single Image Super-Resolution -- 2.2 Prior Information Assisted Image Reconstruction -- 3 Methodology -- 3.1 Architecture -- 3.2 Shallow Feature Extraction Network (SFEN) -- 3.3 Fine Texture Reconstruction Network (FTRN) -- 3.4 Fine Edge Reconstruction Network (FERN) -- 3.5 Image Refinement Network (IRN) -- 4 Experiments -- 4.1 Datasets -- 4.2 Implements Details -- 4.3 Qualitative Comparisons and Discussion -- 4.4 Quantitative Comparisons and Discussion -- 5 Analysis and Discussion -- 5.1 Effectiveness of the Prior Information -- 5.2 Study of -- 6 Conclusion -- References -- UD-GCN: Uncertainty-Based Semi-supervised Deep GCN for Imbalanced Node Classification -- 1 Introduction -- 1.1 Introduction -- 2 Methodology -- 2.1 Adaptive Under-Sampling -- 2.2 Recursive Optimization for Deep GCN -- 2.3 Algorithm Formalization -- 3 Experiments -- 3.1 Experimental Setup -- 3.2 Performance Comparison -- 3.3 Sensitivity to the Number of Model Layers -- 4 Conclusion -- References -- Twin Support Vector Regression with Privileged Information -- 1 Introduction -- 2 Related Works -- 2.1 Support Vector Regression -- 2.2 Twin Support Vector Regression -- 3 Twin Support Vector Regression with Privileged Information -- 4 Experiment -- 4.1 Datasets and Setting -- 4.2 Experiments Analysis -- 4.3 Computing Time -- 5 Conclusions -- References -- Detecting Social Robots Based on Multi-view Graph Transformer -- 1 Introduction -- 2 Related Work -- 3 Methodology -- 3.1 Topic Graph Construction -- 3.2 Graph Augmentation -- 3.3 Mult-view Graph Transformer -- 3.4 Mult-view Attention -- 3.5 Training and Optimization -- 4 Experiments -- 4.1 Dataset -- 4.2 Baselines -- 4.3 Model Architecture Study -- 5 Conclusion -- References. Scheduling Containerized Workflow in Multi-cluster Kubernetes -- 1 Introduction -- 2 Related Work -- 3 Design -- 3.1 Scientific Workflow -- 3.2 Two-Level Scheduling Scheme -- 3.3 CWC Architecture -- 3.4 CWS Architecture -- 3.5 Workflow Injection Module -- 4 Experimental Evaluation -- 4.1 Experimental Setup -- 4.2 Workflow Example -- 4.3 Results and Analysis -- 5 Conclusion -- References -- A Study of Electricity Theft Detection Method Based on Anomaly Transformer -- 1 Introduction -- 2 Characteristic Analysis and Data Expansion -- 2.1 Data Analysis -- 2.2 Data Expansion Mechanism -- 2.3 Feature Analysis -- 3 Electricity Theft Detection Model -- 3.1 Electricity Theft Detection Methods -- 3.2 Electricity Theft Detection Specific Process -- 4 Experimental Evaluation -- 4.1 Data Expansion Performance Evaluation -- 4.2 Dataset Preparation -- 4.3 Evaluation Metrics -- 4.4 Model Parameters -- 4.5 Analysis of Results -- 5 Conclusion -- References -- Application and Research on a Large Model Training Method Based on Instruction Fine-Tuning in Domain-Specific Tasks -- 1 Introduction -- 2 Related Work -- 2.1 LoRA -- 2.2 P-Tuning -- 2.3 Freeze Fine-Tuning -- 3 Methodology -- 4 Experiment -- 4.1 Objective -- 4.2 Dataset -- 4.3 Fine-Tuning Pre-trained Models -- 4.4 Experimental Environment -- 4.5 Experimental Process -- 5 Experimental Result and Analysis -- 6 Conclusion -- References -- Author Index. |
| Record Nr. | UNISA-996574259303316 |
|
Chen Enhong
|
||
| Singapore : , : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Data Science [[electronic resource] ] : 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers / / edited by Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao
| Data Science [[electronic resource] ] : 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers / / edited by Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 711 p. 431 illus., 207 illus. in color.) |
| Disciplina | 004.22 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Computer communication systems Special purpose computers Architecture, Computer Data mining Information storage and retrieval Database Management Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 981-15-2810-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science -- Theory of Data Science -- Data Science of People -- Web of Data -- Data Science of Trust -- Data Science of Health -- Internet of Things -- Smart City -- Advancement of Data Science. |
| Record Nr. | UNINA-9910380747103321 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Science [[electronic resource] ] : 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers / / edited by Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao
| Data Science [[electronic resource] ] : 6th International Conference, ICDS 2019, Ningbo, China, May 15–20, 2019, Revised Selected Papers / / edited by Jing He, Philip S. Yu, Yong Shi, Xingsen Li, Zhijun Xie, Guangyan Huang, Jie Cao, Fu Xiao |
| Edizione | [1st ed. 2020.] |
| Pubbl/distr/stampa | Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 |
| Descrizione fisica | 1 online resource (XVI, 711 p. 431 illus., 207 illus. in color.) |
| Disciplina | 004.22 |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Database management
Computer communication systems Special purpose computers Architecture, Computer Data mining Information storage and retrieval Database Management Computer Communication Networks Special Purpose and Application-Based Systems Computer System Implementation Data Mining and Knowledge Discovery Information Storage and Retrieval |
| ISBN | 981-15-2810-1 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Data Science -- Theory of Data Science -- Data Science of People -- Web of Data -- Data Science of Trust -- Data Science of Health -- Internet of Things -- Smart City -- Advancement of Data Science. |
| Record Nr. | UNISA-996465455203316 |
| Singapore : , : Springer Singapore : , : Imprint : Springer, , 2020 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||