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Paul Bogdan
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年份
An in silico deep learning approach to multi-epitope vaccine design: a SARS-CoV-2 case study
Z Yang, P Bogdan, S Nazarian
Scientific reports 11 (1), 3238, 2021
2102021
Multiwavelet-based operator learning for differential equations
G Gupta, X Xiao, P Bogdan
Advances in neural information processing systems 34, 24048-24062, 2021
1652021
An analytical approach for network-on-chip performance analysis
UY Ogras, P Bogdan, R Marculescu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2010
1562010
The chip is the network: Toward a science of network-on-chip design
R Marculescu, P Bogdan
Foundations and Trends® in Electronic Design Automation 2 (4), 371-461, 2009
1242009
Stochastic Communication: A New Paradigm for Fault‐Tolerant Networks‐on‐Chip
P Bogdan, T Dumitraş, R Marculescu
VLSI design 2007 (1), 095348, 2007
1192007
Ollivier-ricci curvature-based method to community detection in complex networks
J Sia, E Jonckheere, P Bogdan
Scientific reports 9 (1), 9800, 2019
1122019
Non-stationary traffic analysis and its implications on multicore platform design
P Bogdan, R Marculescu
IEEE Transactions on Computer-Aided Design of Integrated Circuits and …, 2011
1002011
Reinforcement learning based power management for hybrid electric vehicles
X Lin, Y Wang, P Bogdan, N Chang, M Pedram
2014 IEEE/ACM international conference on computer-aided design (ICCAD), 33-38, 2014
962014
Biomorphic structural batteries for robotics
M Wang, D Vecchio, C Wang, A Emre, X Xiao, Z Jiang, P Bogdan, ...
Science robotics 5 (45), eaba1912, 2020
882020
Self-optimizing and self-programming computing systems: A combined compiler, complex networks, and machine learning approach
Y Xiao, S Nazarian, P Bogdan
IEEE transactions on very large scale integration (VLSI) systems 27 (6 …, 2019
862019
Reliable multi-fractal characterization of weighted complex networks: algorithms and implications
Y Xue, P Bogdan
Scientific reports 7 (1), 7487, 2017
862017
Vroc: Variational autoencoder-aided multi-task rumor classifier based on text
M Cheng, S Nazarian, P Bogdan
Proceedings of the web conference 2020, 2892-2898, 2020
832020
Efficient modeling and simulation of bacteria-based nanonetworks with BNSim
G Wei, P Bogdan, R Marculescu
IEEE Journal on Selected Areas in Communications 31 (12), 868-878, 2013
812013
An optimal control approach to power management for multi-voltage and frequency islands multiprocessor platforms under highly variable workloads
P Bogdan, R Marculescu, S Jain, RT Gavila
2012 IEEE/ACM Sixth international symposium on networks-on-chip, 35-42, 2012
782012
A COVID-19 rumor dataset
M Cheng, S Wang, X Yan, T Yang, W Wang, Z Huang, X Xiao, S Nazarian, ...
Frontiers in Psychology 12, 644801, 2021
732021
Towards a science of cyber-physical systems design
P Bogdan, R Marculescu
2011 IEEE/ACM Second international conference on cyber-physical systems, 99-108, 2011
692011
Machine learning-based energy management in a hybrid electric vehicle to minimize total operating cost
X Lin, P Bogdan, N Chang, M Pedram
2015 IEEE/ACM International Conference on Computer-Aided Design (ICCAD), 627-634, 2015
672015
Svr-noc: A performance analysis tool for network-on-chips using learning-based support vector regression model
Z Qian, DC Juan, P Bogdan, CY Tsui, D Marculescu, R Marculescu
2013 Design, Automation & Test in Europe Conference & Exhibition (DATE), 354-357, 2013
662013
Statistical physics approaches for network-on-chip traffic characterization
P Bogdan, R Marculescu
Proceedings of the 7th IEEE/ACM international conference on Hardware …, 2009
662009
A spatio-temporal fractal model for a CPS approach to brain-machine-body interfaces
Y Xue, S Rodriguez, P Bogdan
2016 Design, Automation & Test in Europe Conference & Exhibition (DATE), 642-647, 2016
642016
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