5 papers
Machine Learning for Complex Systems Dynamics: Detecting Bifurcations in Dynamical Systems with Deep Neural Networks
Swadesh Pal, Roderick Melnik
Critical transitions are the abrupt shifts between qualitatively different states of a system, and they are crucial to understanding tipping points in complex dynamical systems acr…
Adaptive modelling of anti-tau treatments for neurodegenerative disorders based on the Bayesian approach with physics-informed neural networks
Swadesh Pal, Roderick Melnik
Alzheimer's disease (AD) is a complex neurodegenerative disorder characterized by the accumulation of amyloid-beta (A) and phosphorylated tau (p-tau) proteins, leading to cognit…
Innate behavioural mechanisms and defensive traits in ecological models of predator-prey types
Sangeeta Saha, Swadesh Pal, Roderick Melnik
There are various examples of phenotypic plasticity in ecosystems that serve as the basis for a wide range of inducible defences against predation. These strategies include camoufl…
The role of inducible defence in ecological models: Effects of nonlocal intraspecific competitions
Sangeeta Saha, Swadesh Pal, Roderick Melnik
Phenotypic plasticity is a key factor in driving the evolution of species in the predator-prey interaction. The natural environment is replete with phenotypic plasticity, which is…
Nonlocal cooperative behaviour, psychological effects, and collective decision-making: an exemplification with predator-prey models
Sangeeta Saha, Swadesh Pal, Roderick Melnik
In bio-social models, cooperative behaviour has evolved as an adaptive strategy, playing multi-functional roles. One of such roles in populations is to increase the success of surv…