Articles with public access mandates - Bashir MohammedLearn more
Available somewhere: 11
Ai for science: Report on the department of energy (doe) town halls on artificial intelligence (ai) for science
R Stevens, V Taylor, J Nichols, AB Maccabe, K Yelick, D Brown, ...
Argonne National Lab.(ANL), Argonne, IL (United States), 2020
Mandates: US Department of Energy
Using machine learning for intent-based provisioning in high-speed science networks
H Mahtout, M Kiran, A Mercian, B Mohammed
Proceedings of the 3rd international workshop on systems and network …, 2020
Mandates: US Department of Energy
Data-driven learning to predict wan network traffic
N Krishnaswamy, M Kiran, K Singh, B Mohammed
Proceedings of the 3rd International Workshop on Systems and Network …, 2020
Mandates: US Department of Energy
Dynamic graph neural network for traffic forecasting in wide area networks
T Mallick, M Kiran, B Mohammed, P Balaprakash
2020 IEEE International Conference on Big Data (Big Data), 1-10, 2020
Mandates: US Department of Energy
Experimental beam combining stabilization using machine learning trained while phases drift
Q Du, D Wang, T Zhou, A Gilardi, M Kiran, B Mohammed, D Li, R Wilcox
Optics Express 30 (8), 12639-12653, 2022
Mandates: US Department of Energy
Machine learning pattern recognition algorithm with applications to coherent laser combination
D Wang, Q Du, T Zhou, A Gilardi, M Kiran, B Mohammed, D Li, R Wilcox
IEEE Journal of Quantum Electronics 58 (6), 1-9, 2022
Mandates: US Department of Energy
DeepRoute on Chameleon: Experimenting with large-scale reinforcement learning and SDN on Chameleon testbed
B Mohammed, M Kiran, N Krishnaswamy
2019 IEEE 27th International Conference on Network Protocols (ICNP), 1-2, 2019
Mandates: US Department of Energy
Deeproute: Herding elephant and mice flows with reinforcement learning
M Kiran, B Mohammed, N Krishnaswamy
Machine Learning for Networking: Second IFIP TC 6 International Conference …, 2020
Mandates: US Department of Energy
Netgraf: An end-to-end learning network monitoring service
B Mohammed, M Kiran, B Enders
2021 IEEE Workshop on Innovating the Network for Data-Intensive Science …, 2021
Mandates: US Department of Energy
Multivariate time-series prediction for traffic in large WAN topology
B Mohammed, N Krishnaswamy, M Kiran
2019 ACM/IEEE Symposium on Architectures for Networking and Communications …, 2019
Mandates: US Department of Energy
Predicting WAN Traffic Volumes using Fourier and Multivariate SARIMA Approach
B Mohammed, M Kiran, N Krishnaswamy, K Wu
International Journal of Big Data Intelligence, 2021
Mandates: US Department of Energy
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