Zobrazeno 1 - 10
of 22
pro vyhledávání: '"Hayato Ushijima-Mwesigwa"'
Publikováno v:
PLoS ONE, Vol 16, Iss 12, p e0261250 (2021)
Many fundamental problems in data mining can be reduced to one or more NP-hard combinatorial optimization problems. Recent advances in novel technologies such as quantum and quantum-inspired hardware promise a substantial speedup for solving these pr
Externí odkaz:
https://doaj.org/article/822ccff27d044bc2a5c8e91d172080fd
Publikováno v:
PLoS ONE, Vol 15, Iss 2, p e0227538 (2020)
A very important problem in combinatorial optimization is the partitioning of a network into communities of densely connected nodes; where the connectivity between nodes inside a particular community is large compared to the connectivity between node
Externí odkaz:
https://doaj.org/article/64b3c49594484086be77cd540ac75a98
Publikováno v:
2022 IEEE/ACM 7th Symposium on Edge Computing (SEC).
Autor:
Satish Karra, Jeffrey D. Hyman, Carl W. Gable, Ilya Safro, Matthew Sweeney, Hayato Ushijima-Mwesigwa, Aric Hagberg, Gowri Srinivasan
Publikováno v:
Mathematical Geosciences. 53:1699-1724
We present a topology-based method for mesh-partitioning in three-dimensional discrete fracture network (DFN) simulations that takes advantage of the intrinsic multi-level nature of a DFN. DFN models are used to simulate flow and transport through lo
Autor:
Ilya Safro, Hayato Ushijima-Mwesigwa, Ruslan Shaydulin, Susan M. Mniszewski, Yuri Alexeev, Christian F. A. Negre
Publikováno v:
ACM Transactions on Quantum Computing. 2:1-29
Emerging quantum processors provide an opportunity to explore new approaches for solving traditional problems in the post Moore’s law supercomputing era. However, the limited number of qubits makes it infeasible to tackle massive real-world dataset
Publikováno v:
Journal of Industrial & Management Optimization. 17:1315-1341
The emergence of electric vehicle wireless charging technology, where a whole lane can be turned into a charging infrastructure, leads to new challenges in the design and analysis of road networks. From a network perspective, a major challenge is det
Publikováno v:
Computational Science – ICCS 2022 ISBN: 9783031087561
Externí odkaz:
https://explore.openaire.eu/search/publication?articleId=doi_________::e08ebf0f93f736c8d777cd5345a66b68
https://doi.org/10.1007/978-3-031-08757-8_40
https://doi.org/10.1007/978-3-031-08757-8_40
Autor:
Akshat A. Jha, Eliana L. Stoyanoff, Guga Khundzakishvili, Paul Kairys, Hayato Ushijima-Mwesigwa, Arnab Banerjee
Publikováno v:
2021 International Conference on Rebooting Computing (ICRC).
Publikováno v:
ICASSP
Clustering and outlier detection are often studied as separate problems. However, previous work has shown that a unified approach can lead to better performance. Unified clustering and outlier detection is a hard combinatorial problem that has receiv
Autor:
Ruslan Shaydulin, Hayato Ushijima-Mwesigwa, Yuri Alexeev, Susan M. Mniszewski, Christian F. A. Negre, Ilya Safro
Publikováno v:
Computer. 52:18-26
Solving larger-sized problems is an important area of research in quantum computing. Designing hybrid quantumclassical algorithms is a promising approach to solving this. We discuss decomposition-based hybrid approaches for solving optimization probl