Computational Intelligence Methods for Green Technology and Sustainable Development

Proceedings of the International Conference GTSD2024, Volume 1

AvYo-Ping Huang,Wen-June Wang

Häftad, Engelska, 2024

Del 1195 i serien Lecture Notes in Networks and Systems

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Beskrivning

This book is presented in two volumes, featuring peer-reviewed research papers from the 7th International Conference on Green Technology and Sustainable Development (GTSD), held in Ho Chi Minh City, Vietnam, from July 25 to 26, 2024.

Produktinformation

Utgivningsdatum:2024-12-24
Mått:155 x 235 x 21 mm
Vikt:569 g
Format:Häftad
Språk:Engelska
Serie:Lecture Notes in Networks and Systems
Antal sidor:366
Förlag:Springer International Publishing AG
ISBN:9783031761966

Utforska kategorier

Miljövetenskap och miljöpolitik inom Naturvetenskap och teknik
Databaser inom Data och IT
Artificiell intelligens inom Data och IT

Innehållsförteckning

Deep Learning For Commercial Building Load Forecasting: Hyperparameter Fine-tuning Convolution Neural Network-Multivariate Multilayered Long Short-term Memory Time-series Model.- Guided Multi-task Lane Line Detection with Road-object Semantic Segmentation.- Neuronal Networks for Visual Inspection of Assembly Completeness and Correctness in Manufacturing.- Person Detection for Monitoring Individuals Accessing the Robot Working Zones Using YOLOv8.- Improvement of Small Object Detection Effectiveness based on Swin Transformer.- Dynamic Traffic Optimization System: Leveraging IoT and Fog Computing for Enhanced Urban Mobility with the RAO Algorithm.- Skeleton-based Posture Estimation for Human Action Recognition using Deep Learning.- Enhancing Cost-Efficient Image Captioning through ExpansionNet v2 Optimization.- Lite-GrSeg: Lightweight Architecture for 3D Point Cloud Road-Scene Semantic Segmentation.- Identifying Traffic Congestion through Vehicle Counting and Motion Estimation.- Improved Demand Forecasting Using Artificial Neural Networks: Incorporating Economy Indicators through Feature Construction.- A Novel Method for Ultrasonic Sensor Modeling Using Support Vector Regression.- Bearing Fault Diagnosis Framework based on Few-Shot Learning with Distribution Consistency and Structural Reparameterization.- Embedded Machine Learning for EMG-Based Elbow Motion Recognition.- Empirical Evaluation of Hybrid Time Series Forecasting Method between ARIMA and RBFNN under Parallel Model.- Research on Geometry-based Algorithm to Avoid Collisions With Pedestrians for Autonomous Vehicles.- Artificial Intelligence Application in Urban Space in The Light of The EU Data Protection.- Inverse Characterization of Multilayered Composite Plates using Ultrasonic Guided Waves and Machine Learning Algorithms.- Leveraging Big Data for Competitive Advantage in Entrepreneurship: A Decade Of Insights.- A New Adaptive Optimal Control using Non-conventional Prescribed Performance for Severe Disturbance System.- Novel Adaptive Model-Free Speed Control for Uncertain Permanent Magnet Synchronous Motor.- Optimizing Parameters of Direct Adaptive Neural Sliding Mode Controller for Coupled Tank System using MDE Optimization Algorithm.- Adaptive Fuzzy Controller for Ballbot With Complex Uncertainties.- A Computer Vision-based Eye-tracking System Toward An Eye-controlled Powered Wheelchair.- Adaptive Model Predictive Control (Adp_MPC) Utilized in Autonomous Vehicle (AV) Assistance Systems.- Observer-Based Path Following Control Method for Mobile Robots with An Event-Triggering Mechanism.- Advanced Event-Triggered Tracking Control Applied for Three-DOF Hover Unmanned Aerial Vehicle System.- LiDAR-Based Smart Navigation and Mapping for Mobile Robot on ROS.- Adaptive Formation Control of Underactuated Autonomous Underwater Vehicles with Multiple Constraints.