Modeling of dynamical systems through deep learning
P Rajendra, V Brahmajirao - Biophysical Reviews, 2020 - Springer
This review presents a modern perspective on dynamical systems in the context of current
goals and open challenges. In particular, our review focuses on the key challenges of …
goals and open challenges. In particular, our review focuses on the key challenges of …
Design and optimization of CNN for lane detection
The large push for smart transportation and self-driving cars has brought out an array of
research problems and a pertinent one among them is lane detection. With Convolutional …
research problems and a pertinent one among them is lane detection. With Convolutional …
Real-Time Motion Detection Using Dynamic Mode Decomposition
M Mignacca, S Brugiapaglia, JJ Bramburger - arXiv preprint arXiv …, 2024 - arxiv.org
Dynamic Mode Decomposition (DMD) is a numerical method that seeks to fit timeseries data
to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially …
to a linear dynamical system. In doing so, DMD decomposes dynamic data into spatially …
Classification characteristics of fine motor experts based on electroencephalographic and force tracking data
The application of machine learning techniques provides a data-driven approach for a
deeper understanding of the development and expressions of expertise. In extension to the …
deeper understanding of the development and expressions of expertise. In extension to the …
Unveiling COVID-19 Dynamics: Insights and Predictions Through Dynamic Mode Decomposition
MN JK, GD RV, N Mohan, S Kumar… - 2024 10th …, 2024 - ieeexplore.ieee.org
Improving infectious disease prediction is vital for understanding epidemic dynamics and
guiding public health interventions. Accurate predictive models are crucial for …
guiding public health interventions. Accurate predictive models are crucial for …
Oil Spill Detection from Images Using Deep Learning
V Gopinath, S Sachin Kumar, N Mohan… - … Conference on Advances …, 2022 - Springer
Oil spills pose a threat and damage marine life and human beings. The illegal discharges of
oil spills into the environment create an imbalance in the ecosystem. These oil spills occur …
oil spills into the environment create an imbalance in the ecosystem. These oil spills occur …
An Intelligent Computational Model with Dynamic Mode Decomposition and Attention Features for COVID-19 Detection from CT Scan Images
Abstract Coronavirus (COVID-19), an air-borne disease, has affected the lifestyle of people
all around the world. The World Health Organization (WHO) classified the disease as a …
all around the world. The World Health Organization (WHO) classified the disease as a …
[PDF][PDF] Modeling of dynamical systems through machine learning
P Rajendra, TG NAIDU, V Brahmajirao - 2021 - mililink.com
This review presents the key challenges of discovering dynamics from data and finding data-
driven representations that make nonlinear systems amenable to linear analysis. Datadriven …
driven representations that make nonlinear systems amenable to linear analysis. Datadriven …
Strategies for Implementing Dynamic Mode Decomposition in Automotive Noise, Vibration, and Harshness Testing
L Chinnasamy, KI Ramachandran - 2021 - sae.org
Implementing a new technique for regular industrial applications is an enormous challenge
for researchers. Dynamic mode decomposition (DMD) is one such new technique that is …
for researchers. Dynamic mode decomposition (DMD) is one such new technique that is …