activity
20072021
most citedLocal Voting: Optimal Distributed Node Scheduling Algorithm for Multihop Wireless Networks

15 citations · 20 across the 5 of their papers we have counts for

collaborators

6 papers

math.OC2021

Multiagent Control of Airplane Wing Stability with "Feathers" under the Flexural Torsional Flutter

Dmitry. S. Shalymov, Oleg N. Granichin, Yury Ivanskiy +1

This paper proposes a novel method for the prevention of the unbounded oscillation of an aircraft wings under the flexural torsion flutter. The paper introducing the novel multiage…

cs.IT2020★ 1 cited

Multi-agent control of airplane wing stability under the flexural torsion flutter

Dmitry S. Shalymov, Oleg N. Granichin, Zeev Volkovich +1

This paper proposes a novel method for prevention of the increasing oscillation of an aircraft wing under the flexural torsion flutter. The paper introduces the novel multi-agent m…

cs.LG2020

Simultaneous Perturbation Stochastic Approximation for Few-Shot Learning

Andrei Boiarov, Oleg Granichin, Olga Granichina

Few-shot learning is an important research field of machine learning in which a classifier must be trained in such a way that it can adapt to new classes which are not included in…

cs.NI2017★ 15 cited

Local Voting: Optimal Distributed Node Scheduling Algorithm for Multihop Wireless Networks

Dimitrios J. Vergados, Natalia Amelina, Yuming Jiang +2

An efficient and fair node scheduling is a big challenge in multihop wireless networks. In this work, we propose a distributed node scheduling algorithm, called Local Voting. The i…

cs.NI2017★ 2 cited

Towards Optimal Distributed Node Scheduling in a Multihop Wireless Network through Local Voting

Dimitrios J. Vergados, Natalia Amelina, Yuming Jiang +2

In a multihop wireless network, it is crucial but challenging to schedule transmissions in an efficient and fair manner. In this paper, a novel distributed node scheduling algorith…

math-ph2007★ 2 cited

Method of measurements with random perturbation: Application in photoemission experiments

D. S. Fedin, O. N. Granichin, Yu. S. Dedkov +1

We report an application of a simultaneous perturbation stochastic approximation (SPSA) algorithm to filtering systematic noise (SN) with non-zero mean value in photoemission data.…