High Performance Vision Intelligence

Recent Advances
1. Auflage 2020
ISBN: 978-981-15-6843-5
Verlag: Springer Nature Singapore

Buch, Englisch, Band 913, 264 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 646 g

Reihe: Studies in Computational Intelligence

This book focuses on the challenges and the recent findings in vision intelligence incorporating high performance computing applications. The contents provide in-depth discussions on a range of emerging multidisciplinary topics like computer vision, image processing, artificial intelligence, machine learning, cloud computing, IoT, and big data. The book also includes illustrations of algorithms, architecture, applications, software systems, and data analytics within the scope of the discussed topics. This book will help students, researchers, and technology professionals discover latest trends in the fields of computer vision and artificial intelligence.

Zielgruppe

Research

Autoren/Hrsg.

Chaurasia, Nisha

Nanda, Aparajita

Fachgebiete

• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Technische Wissenschaften Sonstige Technologien | Angewandte Technik Signalverarbeitung, Bildverarbeitung, Scanning
• Mathematik | Informatik EDV | Informatik Technische Informatik Hochleistungsrechnen, Supercomputer
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz Computer Vision
• Mathematik | Informatik EDV | Informatik Informatik Bildsignalverarbeitung
• Mathematik | Informatik EDV | Informatik Daten / Datenbanken Big Data
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung Cloud-Computing, Grid-Computing

Inhaltsverzeichnis

Social Internet of Things: Opportunities and Challenges in Developing Countries.- Prevention of Phishing Attack in Cyber-Physical Internet-of-Things.- Blockchain for Secure Internet of Things.- Black Hole and Worm Hole Attack using DYMO and AODV Protocol: A Review.- Outlier Detection using Trust Assessment Scheme in Wireless Sensor Networks.

Über Autor(innen)

Dr. Aparajita Nanda is currently an assistant professor at the Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India. She obtained her Bachelors (IT) from Biju Pattnaik University, Odisha, Masters (CSE) from Sambalpur University Institute of Information Technology, and Ph.D. from the National Institute of Technology Rourkela, India. Her major research interests include computer vision, data mining, machine learning and visual surveillance in computer engineering applications. She has published several papers in respected international journals, and co-authored research articles in conferences, and book chapters. Dr. Nanda is a member of the ACM and IAENG. She has worked on a R&D project funded by SERB. 

Dr. Nisha Chaurasia is currently an assistant professor at the Department of Computer Science Engineering, Jaypee Institute of Information Technology, Noida, India. She obtained her Bachelors (IT) and Masters (CSE) from Madhav Institute of Technology and Science, Gwalior, and Ph.D. from ABV-IIITM Gwalior, India. Her research interests include data mining, cloud computing, high-performance computing and its applications. She has published several papers in respected international journals and conference proceedings, and also contributed book chapters. Dr. Chaurasia is a member of the ACM and IAENG. She has worked on a R&D project under UKIERI.