• Medientyp: E-Book
  • Titel: Proceedings of the 12th International Conference on Computer Engineering and Networks
  • Beteiligte: Liu, Qi [HerausgeberIn]; Liu, Xiaodong [HerausgeberIn]; Cheng, Jieren [HerausgeberIn]; Shen, Tao [HerausgeberIn]; Tian, Yuan [HerausgeberIn]
  • Erschienen: Singapore: Springer Nature Singapore, 2022.
    Singapore: Imprint: Springer, 2022.
  • Erschienen in: Lecture Notes in Electrical Engineering ; 961
  • Ausgabe: 1st ed. 2022.
  • Umfang: 1 Online-Ressource(XX, 1494 p. 740 illus., 498 illus. in color.)
  • Sprache: Englisch
  • DOI: 10.1007/978-981-19-6901-0
  • ISBN: 9789811969010
  • Identifikator:
  • Schlagwörter: Telecommunication. ; Internet of things. ; Computer networks . ; Computational intelligence. ; Computer science.
  • Entstehung:
  • Anmerkungen:
  • Beschreibung: 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.

    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.