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¿Session 1: New Frontier of Multi-objective Evolutionary Algorithms.-Improved particle swarm algorithm and its application in sensor network optimization.-Image Segmentation by Improved Conical Area Evolutionary Algorithm.-An Efficient Multi-objective Algorithm with High Abundant Elite Information and Evolutionary Phase Self-adjusting for Many Objective Optimization.-Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution.-A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization.-A Many-objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection.-An Adaptive Reference Vector Strategy with Shape Estimation for Many-objective Optimization Problem.-Manifold learning algorithm based on constrained particle swarm multi-objective optimization.-Session 2: Intelligent Multi-media-The use of trusted log storage and verification system based on blockchain for Manufacturing Execution System.-The Combination of GRU and Dense Block for Image Denoising Network.-Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technology.-Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learning.-Measurement system for energy consumption of runtime software in embedded system.-Experiment analysis on Fast Features Bag approach for Pedestrian Re-recognition.-Contrast retention de-coloring based on cosine similarity.-Design and Implementation of Intelligent Garbage Sorting System Based on TensorFlow.
¿Session 1: New Frontier of Multi-objective Evolutionary Algorithms.-Improved particle swarm algorithm and its application in sensor network optimization.-Image Segmentation by Improved Conical Area Evolutionary Algorithm.-An Efficient Multi-objective Algorithm with High Abundant Elite Information and Evolutionary Phase Self-adjusting for Many Objective Optimization.-Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution.-A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization.-A Many-objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection.-An Adaptive Reference Vector Strategy with Shape Estimation for Many-objective Optimization Problem.-Manifold learning algorithm based on constrained particle swarm multi-objective optimization.-Session 2: Intelligent Multi-media-The use of trusted log storage and verification system based on blockchain for Manufacturing Execution System.-The Combination of GRU and Dense Block for Image Denoising Network.-Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technology.-Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learning.-Measurement system for energy consumption of runtime software in embedded system.-Experiment analysis on Fast Features Bag approach for Pedestrian Re-recognition.-Contrast retention de-coloring based on cosine similarity.-Design and Implementation of Intelligent Garbage Sorting System Based on TensorFlow.
Inhaltsverzeichnis
¿Session 1: New Frontier of Multi-objective Evolutionary Algorithms.-Improved particle swarm algorithm and its application in sensor network optimization.-Image Segmentation by Improved Conical Area Evolutionary Algorithm.-An Efficient Multi-objective Algorithm with High Abundant Elite Information and Evolutionary Phase Self-adjusting for Many Objective Optimization.-Multi-objective Evolutionary Architecture Search of U-Net with Diamond Atrous Convolution.-A Multi-objective Evolutionary Algorithm Based on Piecewise Parallel Decomposition for Portfolio Optimization.-A Many-objective Anomaly Detection Model for Vehicle Network Based on Federated Learning and Differential Privacy Protection.-An Adaptive Reference Vector Strategy with Shape Estimation for Many-objective Optimization Problem.-Manifold learning algorithm based on constrained particle swarm multi-objective optimization.-Session 2: Intelligent Multi-media-The use of trusted log storage and verification system based on blockchain for Manufacturing Execution System.-The Combination of GRU and Dense Block for Image Denoising Network.-Construction Methods of Dujiangyan Tourism Culture Image Based on Text Information Mining Technology.-Research on Self-driving Lane and Traffic Marker Recognition Based on Deep Learning.-Measurement system for energy consumption of runtime software in embedded system.-Experiment analysis on Fast Features Bag approach for Pedestrian Re-recognition.-Contrast retention de-coloring based on cosine similarity.-Design and Implementation of Intelligent Garbage Sorting System Based on TensorFlow.
Details
| Erscheinungsjahr: | 2022 |
|---|---|
| Genre: | Importe, Informatik |
| Rubrik: | Naturwissenschaften & Technik |
| Medium: | Taschenbuch |
| Inhalt: |
xv
510 S. 78 s/w Illustr. 164 farbige Illustr. 510 p. 242 illus. 164 illus. in color. |
| ISBN-13: | 9789811941085 |
| ISBN-10: | 9811941084 |
| Sprache: | Englisch |
| Einband: | Kartoniert / Broschiert |
| Redaktion: |
Li, Kangshun
Liu, Yong Wang, Wenxiang |
| Herausgeber: | Kangshun Li/Yong Liu/Wenxiang Wang |
| Auflage: | 1st edition 2022 |
| Hersteller: |
Springer
Springer Singapore |
| Verantwortliche Person für die EU: | Springer Verlag GmbH, Tiergartenstr. 17, D-69121 Heidelberg, juergen.hartmann@springer.com |
| Maße: | 235 x 155 x 29 mm |
| Von/Mit: | Kangshun Li (u. a.) |
| Erscheinungsdatum: | 01.08.2022 |
| Gewicht: | 0,791 kg |