Hu / Yanovsky / Dychka | Advances in Computer Science for Engineering and Education VII | Buch | 978-3-031-84227-6 | sack.de

Buch, Englisch, 731 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1118 g

Reihe: Lecture Notes on Data Engineering and Communications Technologies

Hu / Yanovsky / Dychka

Advances in Computer Science for Engineering and Education VII


Erscheinungsjahr 2025
ISBN: 978-3-031-84227-6
Verlag: Springer Nature Switzerland

Buch, Englisch, 731 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1118 g

Reihe: Lecture Notes on Data Engineering and Communications Technologies

ISBN: 978-3-031-84227-6
Verlag: Springer Nature Switzerland


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 27–28, 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.

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Zielgruppe


Research

Weitere Infos & Material


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.



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