Proceedings of the 12th International Conference on Computer Engineering and Networks

1. Auflage 2022
ISBN: 978-981-19-6900-3
Verlag: Springer Nature Singapore

Buch, Englisch, Band 961, 1494 Seiten, Format (B × H): 160 mm x 241 mm, Gewicht: 2605 g

Reihe: Lecture Notes in Electrical Engineering

This conference proceeding is a collection of the papers accepted by the CENet2022 – the 12th International Conference on Computer Engineering and Networks held on November 4-7, 2022 in Haikou, China. The topics focus but are not limited to Internet of Things and Smart Systems, Artificial Intelligence and Applications, Communication System Detection, Analysis and Application, and Medical Engineering and Information Systems. Each part can be used as an excellent reference by industry practitioners, university faculties, research fellows and undergraduates as well as graduate students who need to build a knowledge base of the most current advances and state-of-practice in the topics covered by this conference proceedings. This will enable them to produce, maintain, and manage systems with high levels of trustworthiness and complexity.

Zielgruppe

Research

Autoren/Hrsg.

Liu, Qi

Liu, Xiaodong

Tian, Yuan

Cheng, Jieren

Shen, Tao

Fachgebiete

• Technische Wissenschaften Elektronik | Nachrichtentechnik Nachrichten- und Kommunikationstechnik
• Mathematik | Informatik EDV | Informatik Angewandte Informatik
• Technische Wissenschaften Energietechnik | Elektrotechnik Elektrotechnik
• Mathematik | Informatik EDV | Informatik Computerkommunikation & -vernetzung
• Mathematik | Informatik EDV | Informatik Informatik Mensch-Maschine-Interaktion Ambient Intelligence, RFID, Internet der Dinge
• Mathematik | Informatik EDV | Informatik Informatik Künstliche Intelligenz
• Mathematik | Informatik EDV | Informatik EDV & Informatik Allgemein

Inhaltsverzeichnis

Semantic line detection: A Survey.- Improved Yolo V3 for Steel Surface Defect Detection.- An Application of Knowledge Graph for Enterprise Risk Prediction.- An Enterprise Risk Prediction Model Combined Financial Data and News Based on Memory Network.- A Study on Online Reservation Behavior of Hotel Catering industry.- Modeling and Characteristic Analysis of Clutter for Airborne Emitter Non-Cooperative Detection System.

Über Autor(innen)

Qi Liu received the B.S. degree in Computer Science and Technology from Zhuzhou Institute of Technology, China in 2003, and M.S. and Ph.D. in Data Telecommunications and Networks from the University of Salford, the UK in 2006 and 2010. His research interests include context awareness, data communication in MANET and WSN, and smart grid. His recent research work focuses on intelligent agriculture and meteorological observation systems based on WSN.

Prof X. Liu received his PhD in Computer Science from De Montfort University and joined Napier in 1999. He is currently leading the Software Systems research group in the SoC, Edinburgh Napier University. He was the director of Centre for Information & Software Systems. Prof Liu is an active researcher in software engineering with internationally excellent reputation and leading expertise, focusing on its emerging themes including pervasive systems (Internet of Things), services-oriented architecture, evolution of cloud services, and intelligence-driven software engineering. He has meanwhile a successful track record of teaching in a number of software engineering courses which are widely informed by his research activities. He has led 10 externally funded projects as the PI, and published over 120 papers in established international journals and conferences, 5 book chapters and 3 research handbooks. He is the inventor of 1 patent registered in UK and USA and the founder of a spin-out company. He has been the chair, co-chair or PC member of a number of IEEE and IASTED International Conferences. He is the editorial board member of 4 international journals and editor of 3 research books and 2 journals special issues. He is a senior member of IEEE Society and a member of British Computer Society.