1. An Experimental Evaluation of Probabilistic Deep Networks for Real-time Traffic Scene Representation using Graphical Processing Units

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Artificial intelligence,Computer engineering,Computer science,Electrical engineering,Robotics

2. An Experimental Evaluation of Probabilistic Deep Networks for Real-time Traffic Scene Representation using Graphical Processing Units

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Artificial intelligence,Computer engineering,Computer science,Electrical engineering,Robotics

3. Architectural Alternatives to Implement High-Performance Delta-Sigma Modulators

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Acoustics,Artificial intelligence,Computer science,Electrical engineering,Information technology

4. Architectural Alternatives to Implement High-Performance Delta-Sigma Modulators

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Acoustics,Artificial intelligence,Computer science,Electrical engineering,Information technology

5. Data and Image Domain Deep Learning for Computational Imaging

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Artificial intelligence,Computer science,Electrical engineering

6. Data and Image Domain Deep Learning for Computational Imaging

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Artificial intelligence,Computer science,Electrical engineering

7. On the induction of decision trees for multiple concept learning

پدیدآورنده :

کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)

موضوع : Applied sciences,Artificial intelligence,Computer science,Electrical engineering,machine learning