04835nam a22006255i 4500 978-981-97-2007-1 DE-He213 20251030113059.0 cr nn 008mamaa 240921s2024 si | s |||| 0|eng d 9789819720071 978-981-97-2007-1 10.1007/978-981-97-2007-1 doi TJ212-225 TJ210.2-211.495 TJFM bicssc TEC007000 bisacsh TJFM thema Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 1 [electronic resource] : NUSYS’23 / edited by Zainah Md. Zain, Zool Hilmi Ismail, Huiping Li, Xianbo Xiang, Rama Rao Karri. 1st ed. 2024. Singapore : Springer Nature Singapore : Imprint: Springer, 2024. VIII, 246 p. 181 illus., 145 illus. in color. online resource. text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Lecture Notes in Electrical Engineering, 1876-1119 ; 1183 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. 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. Control engineering. Robotics. 59148 Automation. 59149 Artificial intelligence. 58441 Internet of things. 58845 Control, Robotics, Automation. Artificial Intelligence. 58441 Internet of Things. 58845 Md. Zain, Zainah. editor. edt http://id.loc.gov/vocabulary/relators/edt 84333 Ismail, Zool Hilmi. editor. edt http://id.loc.gov/vocabulary/relators/edt 84534 Li, Huiping. editor. edt http://id.loc.gov/vocabulary/relators/edt 84535 Xiang, Xianbo. editor. edt http://id.loc.gov/vocabulary/relators/edt 84536 Karri, Rama Rao. editor. edt http://id.loc.gov/vocabulary/relators/edt 84537 SpringerLink (Online service) Springer Nature eBook Printed edition: 9789819720064 Printed edition: 9789819720088 Printed edition: 9789819720095 Lecture Notes in Electrical Engineering, 1876-1119 ; 1183 https://doi.org/10.1007/978-981-97-2007-1 ZDB-2-INR ZDB-2-SXIT 63626 63626