1. A Complete Machine Learning Approach for Predicting Lithium-Ion Cell Combustion
پدیدآورنده : Almagro Yravedra, Fernando
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Electrical engineering
2. A Complete Machine Learning Approach for Predicting Lithium-Ion Cell Combustion
پدیدآورنده : Almagro Yravedra, Fernando
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Electrical engineering
3. Advanced Computing and Communication Technologies : Proceedings of the 9th ICACCT, 2015
پدیدآورنده : edited by Ramesh K. Choudhary, Jyotsna Kumar Mandal, Nitin Auluck, H. A. Nagarajaram
کتابخانه: Library of Razi Metallurgical Research Center (Tehran)
موضوع : ، Artificial intelligence,، Computational intelligence,، Electrical engineering
رده :
LB
1028
.
3
.
A355
2016
4. An Experimental Evaluation of Probabilistic Deep Networks for Real-time Traffic Scene Representation using Graphical Processing Units
پدیدآورنده : El-Shaer, Mennat Allah Ahmed Mohammed
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Computer engineering,Computer science,Electrical engineering,Robotics
5. An Experimental Evaluation of Probabilistic Deep Networks for Real-time Traffic Scene Representation using Graphical Processing Units
پدیدآورنده : El-Shaer, Mennat Allah Ahmed Mohammed
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Computer engineering,Computer science,Electrical engineering,Robotics
6. Applications of Neural Networks in Natural Language Processing
پدیدآورنده : Kavousi, Mohammadamir
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Electrical engineering
7. Applications of Neural Networks in Natural Language Processing
پدیدآورنده : Kavousi, Mohammadamir
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Electrical engineering
8. Architectural Alternatives to Implement High-Performance Delta-Sigma Modulators
پدیدآورنده : Honarparvar, Mohammad
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Acoustics,Artificial intelligence,Computer science,Electrical engineering,Information technology
9. Architectural Alternatives to Implement High-Performance Delta-Sigma Modulators
پدیدآورنده : Honarparvar, Mohammad
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Acoustics,Artificial intelligence,Computer science,Electrical engineering,Information technology
10. Associative memory neural networks for error correction of linear block codes
پدیدآورنده : M. A. Sayani
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Applied sciences,Artificial intelligence,Electrical engineering
11. Brain-Inspired Machine Learning Classification Models
پدیدآورنده : Amerineni, Rajesh
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Biomedical engineering,Electrical engineering
12. Brain-Inspired Machine Learning Classification Models
پدیدآورنده : Amerineni, Rajesh
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Biomedical engineering,Electrical engineering
13. Combating Security Challenges in the Age of Big Data
پدیدآورنده :
کتابخانه: Central Library and Documents Center of Mazandaran University (Mazandaran)
موضوع : Data protection. ; Big data. ; Artificial intelligence. ; System safety. ; Electrical engineering. ; Security. ;
14. Computational Science and Technology
پدیدآورنده :
کتابخانه: Central Library and Documents Center of Mazandaran University (Mazandaran)
موضوع : Artificial intelligence. ; Electrical engineering. ; Big data. ; Artificial Intelligence. ;
15. Data and Image Domain Deep Learning for Computational Imaging
پدیدآورنده : Ghani, Muhammad Usman
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Computer science,Electrical engineering
16. Data and Image Domain Deep Learning for Computational Imaging
پدیدآورنده : Ghani, Muhammad Usman
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Computer science,Electrical engineering
17. Developing Machine Learning Algorithms for Behavior Recognition from Deep Brain Signals
پدیدآورنده : Golshan Mojdehi, Hosein
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Biomedical engineering,Electrical engineering
18. Developing Machine Learning Algorithms for Behavior Recognition from Deep Brain Signals
پدیدآورنده : Golshan Mojdehi, Hosein
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Biomedical engineering,Electrical engineering
19. Distribution Level Building Load Prediction Using Deep Learning
پدیدآورنده : Almalaq, Abdulaziz S.
کتابخانه: Center and Library of Islamic Studies in European Languages (Qom)
موضوع : Artificial intelligence,Electrical engineering
