ROAD CONDITION CLASSIFICATION USING CONVOLUTIONAL NEURAL NETWORKS.
- Published in:
- Studia Universitatis Babes-Bolyai, Informatica, 2019, v. 64, n. 2, p. 14, doi. 10.24193/subbi.2019.2.02
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- Publication type:
- Article
Works matching IS 1224869X AND DT 2019 AND VI 64 AND IP 2
Results: 6
1
2
ANALYSING THE ACADEMIC PERFORMANCE OF STUDENTS USING UNSUPERVISED DATA MINING.
- Published in:
- Studia Universitatis Babes-Bolyai, Informatica, 2019, v. 64, n. 2, p. 34, doi. 10.24193/subbi.2019.2.03
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- Publication type:
- Article
3
DETECTION OF PEDESTRIAN ACTIONS BASED ON DEEP LEARNING APPROACH.
- Published in:
- Studia Universitatis Babes-Bolyai, Informatica, 2019, v. 64, n. 2, p. 5, doi. 10.24193/subbi.2019.2.01
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- Publication type:
- Article
4
A COMPARATIVE STUDY OF SOFTWARE ARCHITECTURES IN MOBILE APPLICATIONS.
- Published in:
- Studia Universitatis Babes-Bolyai, Informatica, 2019, v. 64, n. 2, p. 49, doi. 10.24193/subbi.2019.2.04
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- Publication type:
- Article
5
AUTOMATION AND GAMIFICATION OF COMPUTER SCIENCE STUDY.
- Published in:
- Studia Universitatis Babes-Bolyai, Informatica, 2019, v. 64, n. 2, p. 96, doi. 10.24193/subbi.2019.2.07
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- Publication type:
- Article
6
PREDICTING RELIABILITY OF OBJECT-ORIENTED SYSTEMS USING A NEURAL NETWORK.
- Published in:
- Studia Universitatis Babes-Bolyai, Informatica, 2019, v. 64, n. 2, p. 65, doi. 10.24193/subbi.2019.2.05
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- Publication type:
- Article