Bio-Inspired Computing: Theories and Applications
Springer Nature (Verlag)
978-981-97-2274-7 (ISBN)
The 64 revised full papers presented in these proceedings were carefully reviewed and selected from 168 submissions. The papers are organized in the following topical sections:
Volume I: Evolutionary Computation and Swarm Intelligence; and Membrane Computing and DNA Computing
Volume II: Machine Learning and Applications; and Intelligent Control and Application.
.- Machine Learning and Applications.
.- Review of Traveling Salesman Problem Solution Methods.
.- MAD-SGS: Multivariate Anomaly Detection with Multi-scale Self-learned Graph Structures.
.- A Two-level Game-theoretic Approach for Joint Pricing and Resource Allocation in Multi-user Mobile Edge Computing.
.- Expert-Guided Deep Reinforcement Learning for Flexible Job Shop Scheduling Problem.
.- Eating Behavior Analysis of Cruise Ship Passengers based on K-means Clustering Algorithm.
.- The Bilinear-MAC Network for Visual Reasoning.
.- Artificial Intelligence Analysis of State of Charge Distribution in Lithium-ion Battery based on Ultrasonic Scanning Data.
.- Artificial Intelligence Analysis of State of Charge Distribution in Lithium-ion Battery based on Ultrasonic Scanning Data.
.- A Sample Reuse Strategy for Dynamic Influence Maximization Problem.
.- Prediction of Rice Processing Loss Rate Based on GA-BP Neural Network.
.- Research on Target Value Assessment Method based on Attention Mechanism.
.- An Improved Trajectory Planning Method for Unmanned Aerial Vehicles in Complex Environments.
.- UUV dynamic path planning algorithm based on A-Star and dynamic window.
.- Cuckoo Search Algorithm with Balanced Learning to Solve Logistics Distribution.
.- Badminton Detection using Lightweight Neural Networks for Service Fault Judgement.
.- Intelligent Control and Application.
.- Controllability of Windmill Networks.
.- Incremental Learning with Maximum Dissimilarity Sampling Based Fault Diagnosis for Rolling Bearings.
.- Application and Prospect of Knowledge Graph in Unmanned Vehicle Field.
.- Historical Location Information based Improved Sparrow Search Algorithm for Microgrid Optimal Dispatching.
.- Optimization of Large-Scale Distribution Center Location Selection in Fresh Produce Transportation.
.- Optimization of Large-Scale Distribution Center Location Selection in Fresh Produce Transportation.
.- Application of Multi-fidelity Surrogate Models to the Noisy Optimization Problems of Carbon Fiber Polymerization Process Parameters.
.- Multi-strategy Improved Kepler Optimization Algorithm.
.- A Method of Pathing for Underwater Glider Cluster Based on Optimization Algorithm.
.- UUV Fault Diagnosis Model based on Support Vector Machine.
.- Research on Airborne Radar Multi-target Continuous Tracking Algorithm on Sea Surface based on Deep Kalman Filter.
.- Application-Aware Fine-Grained QoS Framework for 5G and Beyond.
.- Research on UUV Rudder Angle Control Method based on Sliding Mode Control.
.- Research on Distributed Control Technology of Ship pod Propeller Turning Small Angle.
.- Distributed Intelligence Analysis Architecture for 6G Core Network.
.- Research on Local Collision Avoidance Algorithm for Unmanned Ship Based on Behavioral Constraints.
.- Research on Dynamic Path Planning Algorithm for Unmanned Underwater Vehicles based on Multi-step Mechanism DDQN.
.- Dynamic Analysis of Immersion Pump Rotors Considering Fluid Effects.
.- Research on USV Heading Control Algorithm Based on Model Predictive Control.
Erscheinungsdatum | 16.04.2024 |
---|---|
Reihe/Serie | Communications in Computer and Information Science |
Zusatzinfo | 138 Illustrations, color; 50 Illustrations, black and white; XIX, 447 p. 188 illus., 138 illus. in color. |
Sprache | englisch |
Maße | 155 x 235 mm |
Themenwelt | Mathematik / Informatik ► Informatik ► Netzwerke |
Informatik ► Theorie / Studium ► Künstliche Intelligenz / Robotik | |
Schlagworte | Artificial Intelligence • bio-inspired computing • brain-inspired computing • Deep learning • DNA and Molecular Computing • Evolutionary Computing • machine learning • Membrane computing • Neural networks • neuromorphic computing • Swarm intelligence |
ISBN-10 | 981-97-2274-8 / 9819722748 |
ISBN-13 | 978-981-97-2274-7 / 9789819722747 |
Zustand | Neuware |
Haben Sie eine Frage zum Produkt? |
aus dem Bereich