mtmt
Magyar Tudományos Művek Tára
XML
JSON
Átlépés a keresőbe
In English
Proceedings of Ninth International Congress on Information and Communication Technology
Yang, Xin-She [szerk.]
;
Sherratt, Simon [szerk.]
;
Dey, Nilanjan [szerk.]
;
Joshi, Amit [szerk.]
Angol nyelvű Konferenciakötet (Könyv) Tudományos
Megjelent: Springer Nature Singapore, Singapore, Szingapúr
2024
Sorozatok:
Lecture Notes in Networks and Systems 2367-3370 2367-3389, 1000
Azonosítók
MTMT: 35155524
ISBN:
9789819732883
ISBN:
9789819732890
Egyéb URL:
https://link.springer.com/10.1007/978-981-97-3289-0
Fejezetek
Bakonyi Viktória et al. To Be or Not To Be—After AI Revolution. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 51-61
Kawesha Francis et al. A Predictive Model to Support Decision-Making for the Accreditation of Learning Programs Using Data Mining and Machine Learning. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 137-153
Scutelnicu Liviu-Andrei et al. An Overview on Diagnosis of Endometriosis Disease Based on Machine Learning Methods. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 237-250
Kawesha Francis et al. Data Mining and Machine Learning-Based Predictive Model to Support Decision-Making for the Accreditation of Learning Programmes at the Higher Education Authority. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 351-361
Alenizi Abdulrahman S. et al. Speaker Recognition with Deep Learning Approaches: A Review. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 481-499
Bouafia Khawla et al. Blockchain Technologies for Transparency in FinTech. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 575-585
Baddam Pramod et al. Evaluating Tabular Data Generation Techniques on the DaFne Platform: Insights from a Predictive Maintenance Case Study on Bridges. (2024) Megjelent: Proceedings of Ninth International Congress on Information and Communication Technology pp. 611-628
Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
CSL
Másolás
Nyomtatás
2026-09-05 19:41
×
Lista exportálása irodalomjegyzékként
Hivatkozás stílusok:
IEEE
ACM
APA
Chicago
Harvard
Nyomtatás
Másolás