Advances in Computer Science for Engineering and Education VII

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Geliefert zwischen Mi., 26.11.2025 und Do., 27.11.2025

Details

The book contains high-quality refereed research papers presented at the 7th International Conference on Computer Science, Engineering, and Education Applications (ICCSEEA2024), which took place in Kyiv, Ukraine, on April 2728, 2024, and was organized by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute, the National Aviation University, Lviv Polytechnic National University, Kharkiv National University of Radio Electronics, Wuhan University of Technology, Polish Operational and Systems Society, and the International Research Association of Modern Education and Computer Science. The book covers a variety of topics, including cutting-edge research in computer science, artificial intelligence, engineering techniques, smart logistics, and knowledge representation with educational applications. The book is an invaluable resource for academics, graduate students, engineers, management professionals, and undergraduate students who are interested in computer science and its applications in engineering and education.


Includes articles from the Seventh International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2024) Presents new computational solutions in engineering and educational methods and technologies Written by experts in the field

Inhalt

Experimental Study and Value Analysis of Green Jadeite Image Acquisition based on HSL Chromaticity Parameters.- Fingerprint Localization Technology of WiFi Signal for Intelligent Parking Space Navigation.- Design of an All-Terrain Unmanned Tracking Model Vehicle.- Accuracy Improvement of Spoken Language Identification System for Close-related Languages.- Evaluation of Machine Learning Models for Static Analysis of Smart Contract Vulnerabilities.

Weitere Informationen

  • Allgemeine Informationen
    • GTIN 09783031842276
    • Genre Technology Encyclopedias
    • Editor Zhengbing Hu, Matthew He, Ivan Dychka, Felix Yanovsky
    • Lesemotiv Verstehen
    • Anzahl Seiten 752
    • Herausgeber Springer Nature Switzerland
    • Größe H235mm x B155mm x T41mm
    • Jahr 2025
    • EAN 9783031842276
    • Format Kartonierter Einband
    • ISBN 3031842278
    • Veröffentlichung 03.04.2025
    • Titel Advances in Computer Science for Engineering and Education VII
    • Untertitel Lecture Notes on Data Engineering and Communications Technologies 242
    • Gewicht 1118g
    • Sprache Englisch

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