Buch, Englisch, Band 1183, 246 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 599 g
NUSYS'23
Buch, Englisch, Band 1183, 246 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 599 g
Reihe: Lecture Notes in Electrical Engineering
ISBN: 978-981-97-2006-4
Verlag: Springer Nature Singapore
This book comprises the proceedings of the 13th National Technical Symposium on Unmanned System Technology 2023 (NUSYS’23) held on October 2–3, 2023. It covers a number of topics, including intelligent robotics, novel sensor technology, control algorithms, acoustics signal processing, imaging techniques, biomimetic robots, green energy sources, and underwater communication backbones and protocols, and it appeals to researchers developing marine technology solutions and policy-makers interested in technologies to facilitate the exploration of coastal and oceanic regions.
This book is part of a 2-volume series of these conference proceedings, it represents Volume 1 in the series.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
- Technische Wissenschaften Technik Allgemein Mess- und Automatisierungstechnik
- Mathematik | Informatik EDV | Informatik Angewandte Informatik
- Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
- Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
- Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
- Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
Weitere Infos & Material
Variant Histogram Equalization based Enhancement to Deep Transfer Learning for Automatic Detection of Photovoltaic Cell Defects in Electroluminescence Images.- Soft Robotic Conveyor Belt.- Auto-tuning of Frequency Sampling Filter Algorithm using Step Response Data Analysis.- Optimal Load Sharing Strategy in a Hybrid Power System Based on PV/Fuel Cell/ Battery.- Real-Time Vision-Based Halal Logo Verification System.- Genetic Algorithm for Mobile Robot Global Path Planning Application.- Empowering Rural Education: A Comprehensive Study on the Implementation and Cost Analysis of Standalone Photovoltaic Systems in Sarawak Schools.- Industrial Fans Health Analytics with Deep Learning.- Comparative Analysis of Wavelet and MFCC Features, and Machine Learning Techniques for the Robust Classification of Seismic Signals.- Cuckoo Search Algorithms for Maximum Power Point Intelligent Tracking of PV Array Under Partial Shading Conditions.- Automatic Plant Water Stress Phenotyping For Genotype Classification Using Lightweight CNN.- Deep or Shallow Networks: Coral Types Classification using Residual Network Models.- Strawberry Ripeness Classification Using Fuzzy Logic Approach.- Analysis Voltage and Frequency Control of Microgrid Systems with Load Demand Response.- A Novel Deep Learning Approach for MRI Segmentation of Brain Tumors.- Waterfall Alarm System for Headwater Phenomena.- Classification of Mango Species and Ripeness Using Feature Extraction with An Artificial Neural Network.