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Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36622-0 |
| Formato | Materiale a stampa  |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC. |
| Record Nr. | UNINA-9910734876603321 |
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (502 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36622-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC. |
| Record Nr. | UNISA-996542671303316 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence [[electronic resource] ] : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (553 pages) |
| Disciplina | 004.0151 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36625-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC 2022. |
| Record Nr. | UNISA-996542671203316 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. di Salerno | ||
| ||
Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo
| Advances in Swarm Intelligence : 14th International Conference, ICSI 2023, Shenzhen, China, July 14–18, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi, Wenjian Luo |
| Autore | Tan Ying |
| Edizione | [1st ed. 2023.] |
| Pubbl/distr/stampa | Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 |
| Descrizione fisica | 1 online resource (553 pages) |
| Disciplina |
004.0151
006.3824 |
| Altri autori (Persone) |
ShiYuhui
LuoWenjian |
| Collana | Lecture Notes in Computer Science |
| Soggetto topico |
Computer science
Computer engineering Computer networks Machine learning Computer science—Mathematics Computational intelligence Theory of Computation Computer Engineering and Networks Machine Learning Mathematics of Computing Computational Intelligence |
| ISBN | 3-031-36625-5 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto | Swarm Robotics and UAV A Blockchain-Based Service-Oriented Framework to Enable Cooperation of Swarm Robots -- Collective Behavior for Swarm Robots with Distributed Learning -- Exploration of Underwater Environments with a Swarm of Heterogeneous Surface Robots -- Integrating Reinforcement Learning and Optimization Task: Evaluating an agent to dynamically select PSO communication topology -- Filho Swarm Multi-agent Trapping Multi-target Control with Obstacle Avoidance -- A Novel Data Association Method for Multi-target Tracking Based on IACA -- MACT: Multi-agent Collision Avoidance with Continuous Transition Reinforcement Learning via Mixup -- Research on UAV Dynamic Target Tracking with Multi-sensor Position Feedback -- Multiple Unmanned Aerial Vehicles Path Planning Based on Collaborative Differential Evolution -- Design and Analysis of VLC-OCC-CDMA Rake System with Multiple Sources -- x Machine Learning Noise-tolerant Hardware-aware Pruning for Deep Neural Networks -- Nature Inspired Algorithm to Promoting Diversity in Recommender Systems -- Analysis of SIR Compartmental Model Results with Different Update Strategies -- Research on Location Selection of General Merchandise Store Based on Machine Learning -- CF-PMSS: Collaborative Filtering Based on Preference Model and Sparrow Search -- Asynchronous Federated Learning Framework Based on Dynamic Selective Transmission -- Data Mining Small Aerial Target Detection Algorithm Based on Improved YOLOv5 -- Secondary Pulmonary Tuberculosis Lesions Detection Based on Improved YOLOv5 Networks -- Abnormal Traffic Detection based on a Fusion BiGRU Neural Network -- A Fabric Defect Detection Model Based on Feature Extraction of Weak Sample Scene -- Intrusion Detection Method Based on Complementary Adversarial Generation Network -- EEG-Based Subject-Independent Depression Detection Using Dynamic Convolution and Feature Adaptation -- Multi-label Ensemble Defense Scheme Based on Negative Correlation -- Analysis of the Impact of Mathematics Courses on Professional Courses in Science and Engineering Majors -- Intelligent of Clustering Algorithms to Sparseness of One Correlation Network -- Routing and Scheduling Problems Monte Carlo Tree Search with Adaptive Estimation for DAG Scheduling -- Resource Allocation in Heterogeneous Network with Supervised GNNs -- Petrosian Satellite downlink scheduling under breakpoint resume mode -- A Repetitive Grouping Max-Min Ant System for Multi-Depot Vehicle Routing Problem with Time Window -- Secure Access Method of Power Internet of things based on Zero Trust Architecture -- On the Complete Area Coverage Problem of Painting Robots -- Reachability Map-based Motion Planning for Robotic Excavation -- Reinforced Vision-and-Language Navigation Based on Historical BERT -- Stock Prediction and Portfolio Optimization Meta-heuristics for Portfolio Optimization: Part I – Review of Meta-heuristics -- Meta-heuristics for Portfolio Optimization: Part II - Empirical Analysis . Hierarchical Node Representation Learning for Stock Prediction -- Application of APSO-BP Neural Network Algorithm in Stock Price Prediction -- The Research in Credit Risk of Micro and Small Companies with Linear Regression Model -- Bo ICSI-Optimization Competition Deep-Layered Differential Evolution -- Dual-Population Differential Evolution L-NTADE for ICSI-OC’2023 Competition -- Group Simulated Annealing Algorithm for ICSI-OC 2022. |
| Record Nr. | UNINA-9910734887403321 |
|
Tan Ying
|
||
| Cham : , : Springer Nature Switzerland : , : Imprint : Springer, , 2023 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Mining and Big Data [[electronic resource] ] : 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi
| Data Mining and Big Data [[electronic resource] ] : 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part I / / edited by Ying Tan, Yuhui Shi |
| Autore | Tan Ying |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (297 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) | ShiYuhui |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Artificial intelligence Image processing - Digital techniques Computer vision Computer and Information Systems Applications Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-9708-37-0 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part I -- Contents - Part II -- Data Mining Methods -- Data Analytics Methods in Human Resource Demand Forecasting -- 1 Introduction -- 2 Related work -- 2.1 Human Resource Demand Forecasting methods -- 2.2 Multiple Regression Analysis -- 2.3 Data Mining methods -- 3 Data Analytics Methods in Human Resource Demand Forecasting -- 3.1 Multiple Regression Analysis Method -- 3.2 BP Neural Network Algorithm -- 4 Experimental Analysis -- 4.1 Result Analysis of Multiple Linear Regression Forecasting for Human Resources -- 4.2 Result Analysis of BP Neural Network Forecasting for Human Resources -- References -- A Localization Correction Algorithm of Location-Based Services Based on Point Clustering -- 1 Introduction -- 2 Cell Phone Location and Location Service Bias -- 2.1 Cell Phone Positioning -- 2.2 Location Service Bias -- 3 Core Technology -- 3.1 Clustering Algorithm -- 3.2 Implementation of Localization in ANDROID Systems -- 3.3 Expectation Model for Location Data -- 4 Positioning Data Acquisition Program Design and Implementation -- 4.1 Positional Data Structure -- 4.2 Positioning Process -- 5 Experimental Analysis -- 6 Summarize -- References -- Comparison of Prediction Methods on Large-Scale and Long-Term Online Live Streaming Data -- 1 Introduction -- 2 Dataset and Methods -- 2.1 Live Streaming Data -- 2.2 Prediction Methods -- 2.3 Experimental Design -- 3 Results -- 3.1 Data Overview and Temporal Analysis -- 3.2 Univariate Prediction -- 3.3 Feature Importance -- 4 Conclusions and Discussion -- References -- Forecasting Chinese Overnight Stock Index Movement Using Large Language Models with Market Summary -- 1 Introduction -- 2 Data -- 2.1 Market Summary -- 2.2 Overnight Stock Market Index Movement -- 3 Models -- 3.1 BERT -- 3.2 FinBERT -- 3.3 RoBERTa -- 3.4 LERT -- 3.5 MacBERT -- 3.6 PERT.
3.7 BART -- 3.8 Longformer -- 3.9 BigBird -- 3.10 GPT -- 3.11 Fine-tuning -- 3.12 Prompt of GPT -- 3.13 Evaluation Metrics -- 4 Empirical Results -- 5 Conclusions -- References -- A Practical Byzantine Fault Tolerance Algorithms Based on Randomized Mean Clustering, Trust and Credibility -- 1 Introduction -- 2 Related Works -- 3 CTPBFT Algorithm Design and Implementation -- 3.1 Node Trust Assessment -- 3.2 CTPBFT Divided Cluster Strategy -- 3.3 Node Credibility and Reward Curves -- 3.4 Improved Consensus Process -- 4 Reward Functions -- 4.1 Feasibility Analysis of the Reward Function -- 5 Experiment -- 5.1 Algorithm Complexity Analysis -- 5.2 Communication Overhead -- 5.3 Message Throughput -- 5.4 Transaction Delay -- 6 Conclusion -- References -- Improved Joint Distribution Adaptation for Fault Diagnosis -- 1 Introduction -- 2 Transfer Learning Problems -- 3 Proposed Method -- 3.1 Reconstruction with Weighted Source Domain -- 3.2 Modeling and Solving -- 4 Experiment Results and Comparison -- 4.1 Dataset -- 4.2 Results of Data Experiments -- 5 Conclusion -- References -- Pretrained Language Models and Applications -- A Unified Recombination and Adversarial Framework for Machine Reading Comprehension -- 1 Introduction -- 2 Related Work -- 2.1 Attention Mechanism Based Methods -- 2.2 Pre-trained Language Model Based Methods -- 3 Methods -- 3.1 Recombination Layer -- 3.2 Encoding Layer -- 3.3 Fusion Layer -- 3.4 Adversarial Learning -- 3.5 Model Training and Prediction -- 4 Experiment -- 4.1 Experimental Setup -- 4.2 Overall Results -- 4.3 Multi-type Problem Analysis -- 4.4 Analysis of Different Numbers of Candidates -- 5 Conclusion -- References -- Research on Data Mining Methods in the Field of Quality Problem Analysis Based on BERT Model -- 1 Introduction -- 2 Related Work -- 2.1 Data Related to Quality Problem Analysis -- 2.2 BERT Model -- 3 Method. 3.1 Pre-processing of Data -- 3.2 Named Entity Recognition Task -- 3.3 Relationship Extraction Task -- 4 Experiments -- 4.1 Construction of Dataset -- 4.2 Named Entity Recognition Task -- 4.3 Relationship Extraction Task -- 5 Conclusion -- References -- Cross-Language Text Search Algorithm Based on Context-Compatible Algorithms -- 1 Introduction -- 2 Research Status -- 2.1 Overview of the Linguistic Contextual Representation Model -- 2.2 Context-Compatible Algorithm -- 2.3 Participle Algorithm -- 3 Core Algorithm Implementation -- 3.1 Segmentation Algorithm Implementation -- 3.2 Word Co-sentence Algorithm Implementation -- 3.3 Context-Based Cross-Context Search Algorithm Implementation -- 4 Experiments -- 4.1 Experimentation with Segmentation Algorithms -- 4.2 Corpus Realization -- 4.3 Implementation of Cross-Language Search Algorithms -- 5 Summarize -- References -- PEKD: Joint Prompt-Tuning and Ensemble Knowledge Distillation Framework for Causal Event Detection from Biomedical Literature -- 1 Introduction -- 2 Related Work -- 2.1 Event Relation Extraction Approach Based on Neural Network -- 2.2 Few-Shot Learning Methods for Neural Network Models -- 2.3 Compression Methods for Neural Network Models -- 3 Main Method -- 3.1 Problem Definition -- 3.2 Framework -- 4 Datasets and Experiments -- 4.1 Datasets -- 4.2 Evaluation Metric -- 4.3 Hyper-Parameters -- 4.4 Overall Performance -- 4.5 Ablation Study -- 5 Conclusion -- References -- Empirical Analysis on the Effectiveness of Pre-trained Models in the Identification of Physical Violence Against Women in Videos for a Multi-class Approach -- 1 Introduction -- 2 Theoretical Foundations -- 2.1 VGG16 -- 2.2 ResNet50 -- 2.3 InceptionV3 -- 3 Experimental Set-Up -- 3.1 Dataset -- 3.2 Free Parameters Specification -- 3.3 Performance of the Deep Learning Models -- 4 Results and Discussion -- 4.1 VGG16 Model. 4.2 ResNet50 Model -- 4.3 InceptionV3 Model -- 5 Conclusions and Future Research -- References -- Assessing GPT-4 Generated Abstracts: Text Relevance and Detectors Based on Faithfulness, Expressiveness, and Elegance Principle -- 1 Introduction -- 2 Literature Review -- 2.1 Comparison of GPT-4 to Other Large Language Models (LLMs) -- 2.2 The Evolution of GPT from GPT-1 to GPT-4 -- 2.3 Writing Capabilities in GPT-4 -- 3 Methods -- 3.1 Datasets -- 3.2 Prompting -- 3.3 Evaluation Metrics -- 4 Results -- 4.1 Text Relevance Scores -- 4.2 AI Detector Scores -- 4.3 Plagiarism Detector Scores -- 5 Discussion -- 6 Conclusion -- References -- Financial Text Sentiment Analysis Based on ChatGPT-Taking the Real Estate Industry as an Example -- 1 Introduction -- 2 Literature Review -- 2.1 Dictionary-Based Methods -- 2.2 Machine Learning-Based Methods -- 2.3 Emotion Lexicon - Machine Learning Combination Methods -- 2.4 Using ChatGPT Tool as an Analysis Method -- 3 Overview of ChatGPT Technology Process -- 4 Research Methodology -- 4.1 Workflow of the Experiments -- 4.2 Datasets -- 4.3 Preliminary Experiment: Industry Sentiment Training -- 4.4 Improvement Experiment: Enterprise Sentiment Training -- 5 Experiment and Results -- 5.1 Preliminary Experiment: Industry Sentiment Training -- 5.2 Improvement Experiment: Enterprise Sentiment Training -- 6 Conclusion and Future Work -- 6.1 Conclusion -- 6.2 Future Work -- References -- Reinforcement Learning Approaches -- A New Deep Reinforcement Learning Algorithm for UAV Swarm Confrontation Game -- 1 Introduction -- 2 Related Work -- 2.1 UAV Swarm Confrontation Strategy -- 2.2 Multi-agent Deep Reinforcement Learning -- 3 The UAV Swarm Confrontation Problem and the Algorithms -- 3.1 Task Description -- 3.2 Reward Function -- 3.3 The Implementation of MADDPG on the Task -- 3.4 The Description of MB-MADDPG. 4 Experiments and Analysis -- 4.1 Verification of Strategy Optimization Effect -- 4.2 Comparison and Analysis of Algorithms -- 5 Conclusion -- References -- Proximal Policy Optimization for Same-Day Delivery with Drones and Vehicles -- 1 Introduction -- 2 Problem Definition: SDDPHF -- 2.1 Problem Statement -- 2.2 Route-Based MDP -- 3 Solution Approach -- 4 Computational Results -- 4.1 Parameter Setting -- 4.2 Evaluation -- 5 Conclusion -- References -- A Double-Layer Reinforcement Learning Feature Optimization Framework for Evolutionary Computation Based Feature Selection Algorithms -- 1 Introduction -- 2 Background and Related Work -- 2.1 A Subsection Sample -- 2.2 Q-Learning -- 2.3 EC-Based Feature Selection Algorithms -- 2.4 Reinforcement Learning Based Feature Selection Algorithm -- 3 The Propose Method -- 3.1 Double-Layer Reinforcement Learning Based Feature Optimization Framework -- 3.2 Lower-Layer Feature Optimization Algorithm Based on Q-Learning -- 3.3 Upper-Layer Length Control Strategic Based on Q-Learning -- 4 Experiment and Result -- 4.1 Dataset Description and Experiment Settings -- 4.2 Parameter Settings -- 4.3 Experiment Result -- 5 Conclusion -- References -- Combinatorial Optimization Approaches -- Ant-Antlion Optimizer with Similarity Information for Multidimensional Knapsack Problem -- 1 Introduction -- 2 Related Works -- 3 Ant-Antlion Optimizer with Similarity Information -- 3.1 Novel Fitness with Similarity Information -- 3.2 Self-adaption Mutation -- 3.3 Procedure of Proposed Method -- 4 Experiments and Results -- 4.1 Testing Problems and Comparison Methods -- 4.2 Simulation and Evaluation -- 5 Conclusions -- References -- Efficient Graph Sequence Reinforcement Learning for Traveling Salesman Problem -- 1 Introduction -- 2 Related Work -- 2.1 Autoregressive Methods -- 2.2 Non-autoregressive Methods. 3 Graph Sequence Reinforcement Learning Model. |
| Record Nr. | UNINA-9910841863203321 |
|
Tan Ying
|
||
| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||
Data Mining and Big Data [[electronic resource] ] : 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi
| Data Mining and Big Data [[electronic resource] ] : 8th International Conference, DMBD 2023, Sanya, China, December 9–12, 2023, Proceedings, Part II / / edited by Ying Tan, Yuhui Shi |
| Autore | Tan Ying |
| Edizione | [1st ed. 2024.] |
| Pubbl/distr/stampa | Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 |
| Descrizione fisica | 1 online resource (289 pages) |
| Disciplina | 005.3 |
| Altri autori (Persone) | ShiYuhui |
| Collana | Communications in Computer and Information Science |
| Soggetto topico |
Application software
Artificial intelligence Image processing - Digital techniques Computer vision Computer and Information Systems Applications Artificial Intelligence Computer Imaging, Vision, Pattern Recognition and Graphics |
| ISBN | 981-9708-44-3 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Intro -- Preface -- Organization -- Contents - Part II -- Contents - Part I -- Information Security Approaches -- A Local Interpretability Model-Based Approach for Black-Box Adversarial Attack -- 1 Introduction -- 2 Related Work -- 2.1 Adversarial Attack Approaches -- 2.2 Interpretability-Based Adversarial Attack Approaches -- 3 Local Interpretability Model-Based Attack Approach -- 3.1 Identify Discriminative Regions by LIME -- 3.2 Black-Box Attack Approaches Based on Discriminative Regions -- 4 Experimental Results -- 4.1 Target Models and Datasets -- 4.2 Comparison Methods -- 4.3 Experimental Results -- 4.4 Sensitivity Analysis of Parameters -- 5 Conclusions -- References -- FirewaLLM: A Portable Data Protection and Recovery Framework for LLM Services -- 1 Introduction -- 1.1 Our Contributions -- 2 Related Work -- 2.1 Large Language Models -- 2.2 LLM Privacy Protection -- 2.3 LSTM -- 2.4 TF-IDF -- 2.5 BERT -- 2.6 AI Model Evaluation -- 3 FirewaLLM Framework -- 3.1 Sensitive Text Discrimination Algorithm -- 3.2 Desensitization Algorithm -- 3.3 Text Recovery Algorithm -- 4 Model Effect Evaluation -- 4.1 Measure Index -- 4.2 Test Datasets -- 4.3 Result -- 4.4 Conclusion -- References -- Data Query and Image Clustering -- AL-SQUARES: SQL Synthesis System with the Addition of Reducer -- 1 Introduction -- 2 Relates Work -- 2.1 Domain Specific Language and Attributes -- 2.2 SQUARES -- 3 Program Synthesis Model Architecture -- 3.1 Problem Formulation -- 3.2 Model Architecture -- 3.3 Neural Network Architecture of the Reducer -- 3.4 LSTM -- 3.5 Attention -- 4 Experiments -- 4.1 Preparation -- 4.2 The Parameter N -- 4.3 Speedup Results -- 5 Discussion -- References -- Query Reverse Engineering of Pre-deleted Uncorrelated Operators -- 1 Introduction -- 2 Background Knowledge -- 2.1 Query Reverse Engineering -- 2.2 Domain-Specific Languages.
2.3 Enumeration-Based Program Synthesis -- 3 PdQRE -- 3.1 Structure of PdQRE -- 3.2 Encoding of Data -- 3.3 Structure of Predictor -- 3.4 Generation of Dataset -- 3.5 Training of Predictor -- 4 Experiments and Comparisons -- 4.1 Selection of Hyperparameter -- 4.2 Comparison of PdQRE and SQUARES -- 4.3 Comparison of PdQRE with Other Models -- 5 Conclusions -- References -- No-Reference Quality Assessment for HDR Images Based on Multi-scale Retinex Decomposition -- 1 Introduction -- 2 Proposed Method -- 2.1 Retinex Decomposition -- 2.2 Feature Extraction from Reflectance Maps -- 2.3 Feature Extraction from Luminance Component -- 2.4 Learning Metric -- 3 Experimental Results -- 3.1 Databases -- 3.2 Assessment Criteria -- 3.3 Performance Comparison -- 3.4 Computational Complexity -- 4 Conclusion -- References -- Node Importance-Based Semi-supervised Nonnegative Matrix Factorization for Image Clustering -- 1 Introduction -- 2 Related Works -- 2.1 Unsupervised NMF and Its Variants -- 2.2 Semi-supervised NMF -- 3 The Proposed NISNMF Algorithm -- 3.1 Construction of NISNMF Model -- 3.2 Optimization -- 3.3 Convergence -- 4 Experiments -- 4.1 Experimental Setting -- 4.2 Clustering Comparision -- 4.3 Parameter Sensitivity Analysis -- 5 Conclusion -- References -- An Empirical Study on the Impact of Environmental Policies on Green Total Factor Productivity of Manufacturing Industry in China -- 1 Introduction -- 2 Industry Classification and Green Total Factor Productivity Measurement -- 2.1 Industry Classification -- 2.2 Green Total Factor Productivity Measurement. -- 3 Empirical Analysis -- 3.1 Model Construction -- 3.2 Index Selection and Data Declaration -- 3.3 Empirical Results Analysis -- 4 Conclusion -- References -- Digital Simulation Methods -- Construction of Digital Twin Battlefield with Command and Control as the Core -- 1 Introduction. 2 Digital Twin Battlefield Status -- 3 Command and Control System Digital Twin -- 3.1 Modeling Characteristics -- 3.2 Important Role -- 4 Operation Architecture -- 5 Key Technologies -- 5.1 Command and Control System Digital Twin Modeling Technology -- 5.2 Command Elements Drive Digital Twin Battlefield Operation Technology -- 5.3 Command and Control System Digital Twin Virtual-Reality Connection and Interaction Technology -- 6 Application -- 6.1 Assisted Decision-Making Support -- 6.2 SoS Optimization Design -- 7 Conclusion -- References -- A Joint Method for Combat Intent Recognition and Key Information Extraction -- 1 Introduction -- 2 Related Works -- 2.1 Operational Intent Recognition -- 2.2 Combat Information Extraction -- 3 Methods -- 3.1 Combat Intent Recognition -- 3.2 Key Information Extraction -- 3.3 Joint Extraction Method -- 3.4 Concrete Methods -- 4 Experiments -- 4.1 Dataset -- 4.2 Experimental Environment -- 4.3 Experimental Results -- 5 Conclusion -- References -- Theory-Assisted Deep Learning Weapon System Combat Effectiveness Prediction -- 1 Introduction -- 2 Theory-Assisted Model Training -- 2.1 Basic Model Description -- 2.2 Theory-Driven and Data-Driven Hybrid -- 3 Model Based on GA-CNN-LSTM -- 4 Empirical Study -- 4.1 Theoretical Modeling -- 4.2 Data Set Construction -- 4.3 Experimental Environment and Model Building -- 5 Result and Discussion -- 6 Conclusions -- References -- Aerial Scene Understanding Based on Synthetic Data -- 1 Introduction -- 2 Related Work -- 3 Synthetic Drone Raw Data Generation Framework and SynthDrone Dataset -- 3.1 Raw Data Generation -- 3.2 Dataset Post Processing and Statistical Analysis -- 4 Depth Aware Target Distribution Estimation Network -- 5 Experimental Results -- 5.1 Evaluation Metrics -- 5.2 Experiment Results on the SynthDrone Dataset -- 5.3 Cross Domain Density Estimation. 5.4 Target Localization and Tracking -- 6 Conclusion -- References -- A New Approach for Ontology Generation from Relational Data Design Patterns -- 1 Introduction -- 2 Background: Ontology Automation -- 3 Ontology Generation from Relational Databases -- 3.1 A Basic Ontology Generator -- 3.2 The JC3IEDM Data -- 3.3 Ontology Generation from Relational DDPs -- 4 Experiments -- 4.1 Comparing Against the Baselines -- 4.2 A Graphical View of the Generated Ontology -- 5 Discussion and Future Work -- 6 Conclusion -- References -- Mining Maximal High Utility Co-location Patterns from Large-Scale Spatial Data -- 1 Introduction -- 2 High Utility Co-location Patterns and Their Maximal Representation -- 3 The Clique-Hash Table-Based Top-Down Traversal Mining Method -- 3.1 Maximal Clique Enumeration -- 3.2 The Hash Table Structure -- 3.3 Top-Down Traversal Mining Maximal HUCPs -- 4 Experimental Study -- 4.1 Experimental Environment -- 4.2 The Effectiveness of Maximal HUCPs -- 4.3 The Efficiency of the Proposed Algorithm -- 5 Conclusion -- References -- Research on the Meta Synthesis Model of Strategic Risk Management for the Complex Weapon Equipment Systems Development -- 1 Introduction -- 2 Concept and Process of Strategic Risk Management for the Complex Weapon Equipment Systems Development -- 3 A Three-Dimensional System Structure for Strategic Risk Management in the Complex Weapon Equipment Systems Development -- 3.1 Time Dimension -- 3.2 Logical Dimension -- 3.3 Knowledge Dimension -- 4 A Meta Synthesis Model for Strategic Risk Management in the Complex Weapon Equipment Systems Development -- 5 An Example of Strategic Risk Integrated Management for a Certain Type of Complex Weapon Equipment Systems Development -- 5.1 Strategic Risk Characteristics of a Certain Type of Complex Weapon Equipment Systems Development. 5.2 Comprehensive Risk Management Model for a Certain Type of Complex Weapon Equipment System Development -- 5.3 Use of a Comprehensive Risk Integration Model for the Construction and Development of a Certain Type of Complex Weapon Equipment System -- 6 Epilogue -- References -- A Service-Oriented Data Sharing and Exchange Model -- 1 Introduction -- 2 Related Work -- 2.1 Digital Government -- 2.2 Data Sharing -- 3 Model -- 3.1 Overall Architecture -- 3.2 Business Collaboration Layer -- 3.3 Shared Exchange Layer -- 3.4 Service Access Layer -- 4 Process -- 4.1 Creating Services -- 4.2 Use of Services -- 5 Conclusion -- References -- Integrated Organization and Sharing Method and Platform for AI Computing Resources Based on Digital Object -- 1 Introduction -- 2 Organization of AI Computing Resources Based on Digital Object -- 2.1 Key Technology -- 2.2 AI Computing Resource Digital Object Encapsulation Implementation -- 3 AI Computing Platform Based on Digital Object -- 3.1 Design of AI Computing Platform -- 3.2 Key Capabilities -- 4 Operation Mode and Usage Scenarios -- 4.1 Operation Mode -- 4.2 Application Scenarios -- 5 Conclusion -- References -- Machine Learning for Medical Applications -- Review of Machine Learning Algorithms for Breast Cancer Diagnosis -- 1 Introduction -- 2 Literature Review -- 3 Breast Cancer Dataset -- 4 Breast Cancer Classification Framework -- 4.1 Data Pre-processing -- 4.2 The Breast Cancer Classifiers -- 5 Experimental Study -- 6 Conclusions -- References -- Integrated Patient Care Optimization Model: A Novel Model to Enhancing Medical Alliance Efficiency -- 1 Introduction -- 2 Literature Review -- 3 Model Construction -- 3.1 The Integrated Patient Care Optimization Model -- 3.2 The IPCOM Validation: Simulation -- 4 Results -- 4.1 Parameter Settings -- 4.2 Analysis of Results -- 5 Conclusions -- References. A Two-Stage Approach to Optimize Medical Waste Transportation Problem During Pandemic. |
| Record Nr. | UNINA-9910841859403321 |
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Tan Ying
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| Singapore : , : Springer Nature Singapore : , : Imprint : Springer, , 2024 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
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Fireworks Algorithm : A Novel Swarm Intelligence Optimization Method / / by Ying Tan
| Fireworks Algorithm : A Novel Swarm Intelligence Optimization Method / / by Ying Tan |
| Autore | Tan Ying |
| Edizione | [1st ed. 2015.] |
| Pubbl/distr/stampa | Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 |
| Descrizione fisica | 1 online resource (344 p.) |
| Disciplina | 004 |
| Soggetto topico |
Artificial intelligence
Computational intelligence Numerical analysis Robotics Automation Artificial Intelligence Computational Intelligence Numeric Computing Robotics and Automation |
| ISBN | 3-662-46353-9 |
| Formato | Materiale a stampa |
| Livello bibliografico | Monografia |
| Lingua di pubblicazione | eng |
| Nota di contenuto |
Preface; Acknowledgments; Contents; About the Author; Abbreviations; Symbols; List of Figures; List of Tables; Part I Fundamentals and Basic Theory; 1 Introduction; 1.1 Motivations; 1.2 Brief Introduction to Swarm Intelligence; 1.3 Brief Introduction to FWA; 1.4 Characteristics and Advantages of FWA; 1.5 Overviews of FWA Research; 1.6 Overview of the Book; References; 2 Fireworks Algorithm (FWA); 2.1 Introduction; 2.2 FWA Principle; 2.2.1 Explosion Operator; 2.2.2 Gaussian Mutation Operator; 2.2.3 Mapping Rule; 2.2.4 Selection Strategy; 2.3 Implementation of FWA; 2.3.1 Explosion Operator
2.3.2 Mutation Operator2.3.3 Mapping Rule; 2.3.4 Selection Strategy; 2.4 The Characteristics of FWA; 2.4.1 Explosion; 2.4.2 Instantaneity; 2.4.3 Simplicity; 2.4.4 Locality; 2.4.5 Emergent Property; 2.4.6 Distributed Parallelism; 2.4.7 Diversity; 2.4.8 Extendibility; 2.4.9 Adaptability; 2.5 Impact of Operators in FWA on Performance; 2.5.1 Explosion Operator; 2.5.2 Gaussian Mutation; 2.5.3 Mapping Rule; 2.5.4 Selection Strategy; 2.6 Comparison of FWA with Three Other SI Algorithms; 2.6.1 Ideas Comparison Between FWA and GA; 2.6.2 Ideas Comparison Between FWA and Two Versions of PSO 2.7 Experimental Results and Analysis2.7.1 Benchmark Functions; 2.7.2 Parameters Setting; 2.7.3 Experimental Results; 2.7.4 Analysis; 2.8 Summary; References; 3 Modeling and Theoretical Analysis of FWA; 3.1 A Stochastic Process Model for FWA; 3.2 Global Convergence Theorems; 3.3 Time Complexity of FWA; 3.3.1 Basic Theory of Time Complexity; 3.4 Deep Analysis of Time Complexity; 3.5 Influence of Random Number Generators on FWA; 3.5.1 Random Number Generators; 3.5.2 Modular Arithmetic Based RNGs; 3.5.3 Binary Arithmetic Based RNGs; 3.5.4 Experimental Setup 3.5.5 Experimental Results and Analysis3.6 Summary; References; Part II FWA Variants; 4 FWA Based on Function Approximation Approaches; 4.1 Introduction; 4.2 Fireworks Algorithm; 4.3 Fireworks Algorithm Acceleration by Elite Strategy; 4.3.1 Motivation; 4.3.2 Sampling Methods; 4.3.3 Fireworks Algorithm with an Elite Strategy; 4.4 Experimental Evaluations; 4.4.1 Experimental Design; 4.4.2 Experimental Results; 4.5 Discussion; 4.5.1 Fireworks Algorithm Acceleration Performance; 4.5.2 Approximation Methods; 4.5.3 Sampling Methods; 4.5.4 Sampling Data Number; 4.6 Summary; References 5 FWA with Controlling Exploration and Exploitation5.1 Some Improvements on Operations in FWA; 5.1.1 The Amplitude and Number of Sparks; 5.1.2 The Mutation Improvement; 5.1.3 Selection Strategy; 5.2 Experiment and Analysis; 5.2.1 Experimental Design; 5.2.2 Experimental Results and Analysis; 5.3 Summary; References; 6 Enhanced Fireworks Algorithm; 6.1 Properties of Conventional FWA; 6.2 The Proposed EFWA; 6.2.1 A New Minimal Explosion Amplitude Check (MEAC); 6.2.2 A New Operator for Generating Explosion Sparks; 6.2.3 A New Mapping Operator; 6.2.4 A New Operator for Generating Gaussian Sparks 6.2.5 A New Selection Operator |
| Record Nr. | UNINA-9910298965503321 |
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Tan Ying
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| Berlin, Heidelberg : , : Springer Berlin Heidelberg : , : Imprint : Springer, , 2015 | ||
| Materiale a stampa | ||
| Lo trovi qui: Univ. Federico II | ||
| ||