activity
20012022
most citedSqueezed coherent states and the one-dimensional Morse quantum system

31 citations · 171 across the 14 of their papers we have counts for

collaborators

14 papers

math.DS2022★ 1 cited

Modelling host population support for combat adversaries

Mathew Zuparic, Sergiy Shelyag, Maia Angelova +2

We consider a model of adversarial dynamics consisting of three populations, labelled Blue, Green and Red, which evolve under a system of first order nonlinear differential equatio…

q-bio.QM2021★ 21 cited

Effect of stress on cardiorespiratory synchronization of Ironmen athletes

Maia Angelova, Philip M. Holloway, Sergiy Shelyag +2

The aim of this paper is to investigate the cardiorespiratory synchronization in athletes subjected to extreme physical stress combined with a cognitive stress tasks. ECG and respi…

nlin.AO2020★ 12 cited

Adversarial decision strategies in multiple network phased oscillators: the Blue-Green-Red Kuramoto-Sakaguchi model

Mathew Zuparic, Maia Angelova, Ye Zhu +1

We consider a model of three interacting sets of decision-making agents, labeled Blue, Green and Red, represented as coupled phased oscillators subject to frustrated synchronisatio…

math.DS2020★ 5 cited

Global Stability and Periodicity in a Glucose-Insulin Regulation Model with a Single Delay

M. Angelova, G. Beliakov, A. Ivanov +1

A two-dimensional system of differential equations with delay modelling the glucose-insulin interaction processes in the human body is considered. Sufficient conditions are derived…

cs.LG2018★ 28 cited

Hierarchical clustering that takes advantage of both density-peak and density-connectivity

Ye Zhu, Kai Ming Ting, Yuan Jin +1

This paper focuses on density-based clustering, particularly the Density Peak (DP) algorithm and the one based on density-connectivity DBSCAN; and proposes a new method which takes…

cs.LG2018★ 22 cited

CDF Transform-and-Shift: An effective way to deal with datasets of inhomogeneous cluster densities

Ye Zhu, Kai Ming Ting, Mark Carman +1

The problem of inhomogeneous cluster densities has been a long-standing issue for distance-based and density-based algorithms in clustering and anomaly detection. These algorithms…