Advances in Computer Science for Engineering and Education

This book features high-quality, peer-reviewed research papers presented at the First International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2018), held in Kiev, Ukraine on 18-20 January 2018, and organized jointly by the National Technical University of Ukraine...

Πλήρης περιγραφή

Λεπτομέρειες βιβλιογραφικής εγγραφής
Συγγραφή απο Οργανισμό/Αρχή: SpringerLink (Online service)
Άλλοι συγγραφείς: Hu, Zhengbing (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Petoukhov, Sergey (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), Dychka, Ivan (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt), He, Matthew (Επιμελητής έκδοσης, http://id.loc.gov/vocabulary/relators/edt)
Μορφή: Ηλεκτρονική πηγή Ηλ. βιβλίο
Γλώσσα:English
Έκδοση: Cham : Springer International Publishing : Imprint: Springer, 2019.
Έκδοση:1st ed. 2019.
Σειρά:Advances in Intelligent Systems and Computing, 754
Θέματα:
Διαθέσιμο Online:Full Text via HEAL-Link
Περιγραφή
Περίληψη:This book features high-quality, peer-reviewed research papers presented at the First International Conference on Computer Science, Engineering and Education Applications (ICCSEEA2018), held in Kiev, Ukraine on 18-20 January 2018, and organized jointly by the National Technical University of Ukraine "Igor Sikorsky Kyiv Polytechnic Institute" and the International Research Association of Modern Education and Computer Science. The state-of-the-art papers discuss topics in computer science, such as neural networks, pattern recognition, engineering techniques, genetic coding systems, deep learning with its medical applications, as well as knowledge representation and its applications in education. It is an excellent reference resource for researchers, graduate students, engineers, management practitioners, and undergraduate students interested in computer science and their applications in engineering and education.
Φυσική περιγραφή:XVII, 773 p. 307 illus. online resource.
ISBN:9783319910086
ISSN:2194-5357 ;
DOI:10.1007/978-3-319-91008-6