Proceedings of the 13th National Technical Seminar on Unmanned System Technology 2023—Volume 2
Author: Zainah Md. Zain
Publisher: Springer Nature
Published:
Total Pages: 257
ISBN-13: 9819720273
DOWNLOAD EBOOKRead and Download eBook Full
Author: Zainah Md. Zain
Publisher: Springer Nature
Published:
Total Pages: 257
ISBN-13: 9819720273
DOWNLOAD EBOOKAuthor: Zainah Md. Zain
Publisher: Springer
Published: 2024-09-01
Total Pages: 0
ISBN-13: 9789819720064
DOWNLOAD EBOOKThis 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.
Author: Zainah Md. Zain
Publisher: Springer Nature
Published:
Total Pages: 637
ISBN-13: 9819738512
DOWNLOAD EBOOKAuthor: Muhammad Amirul Abdullah
Publisher: Springer Nature
Published: 2023-03-21
Total Pages: 343
ISBN-13: 9811987033
DOWNLOAD EBOOKThis book presents parts of the iM3F 2022 proceedings from the mechatronics as well as the intelligent manufacturing tracks. It highlights recent trends and key challenges in mechatronics as well as the advent of intelligent manufacturing engineering and technology that are non-trivial in embracing Industry 4.0 as well as addressing the UN Sustainable Development Goals. The book deliberates on conventional as well as advanced solutions that are utilized in the variety of mechatronics and intelligent manufacturing-based applications. The readers are envisaged to gain an insightful view on the current trends, issues, mitigating factors as well as solutions from this book.
Author: Limin Jia
Publisher: Springer Nature
Published:
Total Pages: 971
ISBN-13: 981973682X
DOWNLOAD EBOOKAuthor: Ansel Yoan Rodríguez-González
Publisher: Springer Nature
Published: 2023-06-08
Total Pages: 338
ISBN-13: 3031337832
DOWNLOAD EBOOKThis book constitutes the refereed proceedings of the 15th Mexican Conference on Pattern Recognition, MCPR 2023, held in Tepic, Mexico, during June 21–24, 2023. The 30 full papers presented in this book were carefully reviewed and selected from 61 submissions. The papers are divided into the following topical sections: pattern recognition and machine learning techniques; deep learning and neural networks; medical applications of pattern recognition; language processing and recognition; and industrial applications of pattern recognition.
Author: Mukesh Saraswat
Publisher: Springer Nature
Published: 2023-02-16
Total Pages: 946
ISBN-13: 9811966311
DOWNLOAD EBOOKThis book gathers outstanding papers presented at the International Conference on Data Science and Applications (ICDSA 2022), organized by Soft Computing Research Society (SCRS) and Jadavpur University, Kolkata, India, from 26 to 27 March 2022. It covers theoretical and empirical developments in various areas of big data analytics, big data technologies, decision tree learning, wireless communication, wireless sensor networking, bioinformatics and systems, artificial neural networks, deep learning, genetic algorithms, data mining, fuzzy logic, optimization algorithms, image processing, computational intelligence in civil engineering, and creative computing.
Author: Soon-Geul Lee
Publisher: Springer Nature
Published:
Total Pages: 461
ISBN-13: 3031449819
DOWNLOAD EBOOKAuthor: Alejandro Salado
Publisher: Springer Nature
Published:
Total Pages: 609
ISBN-13: 3031625544
DOWNLOAD EBOOKAuthor: Sayan Mitra
Publisher: MIT Press
Published: 2021-02-16
Total Pages: 313
ISBN-13: 0262044803
DOWNLOAD EBOOKA graduate-level textbook that presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification. Verification aims to establish whether a system meets a set of requirements. For such cyber-physical systems as driverless cars, autonomous spacecraft, and air-traffic management systems, verification is key to building safe systems with high levels of assurance. This graduate-level textbook presents a unified mathematical framework for modeling and analyzing cyber-physical systems, with a strong focus on verification. It distills the ideas and algorithms that have emerged from more than three decades of research and have led to the creation of industrial-scale modeling and verification techniques for cyber-physical systems.