Research output per year
Research output per year
Fingerprint
Fingerprint is based on mining the text of the expert's scholarly documents to create an index of weighted terms, which defines the key subjects of each individual researcher.
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A unified Maximum Entropy Principle approach for a large class of routing problems
Baranwal, M., Marla, L., Beck, C. L. & Salapaka, S. M., Sep 2022, In: Computers and Industrial Engineering. 171, 108383.Research output: Contribution to journal › Article › peer-review
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On the choice of number of superstates in the aggregation of Markov chains
Srivastava, A., Velicheti, R. K. & Salapaka, S. M., Jul 2022, In: Pattern Recognition Letters. 159, p. 181-188 8 p.Research output: Contribution to journal › Article › peer-review
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Parameterized MDPs and Reinforcement Learning Problems - A Maximum Entropy Principle-Based Framework
Srivastava, A. & Salapaka, S. M., Sep 1 2022, In: IEEE Transactions on Cybernetics. 52, 9, p. 9339-9351 13 p.Research output: Contribution to journal › Article › peer-review
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Isochronous Architecture-Based Voltage-Active Power Droop for Multi-Inverter Systems
Patel, S., Chakraborty, S., Lundstrom, B., Salapaka, S. M. & Salapaka, M. V., Mar 2021, In: IEEE Transactions on Smart Grid. 12, 2, p. 1088-1103 16 p., 18.Research output: Contribution to journal › Article › peer-review
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A clustering approach to edge controller placement in software-defined networks with cost balancing
Soleymanifar, R., Srivastava, A., Beck, C. & Salapaka, S., 2020, In: IFAC-PapersOnLine. 53, 2, p. 2642-2647 6 p.Research output: Contribution to journal › Conference article › peer-review