Painlev\'e Analysis, Prelle-Singer Approach, Symmetries and Integrability of Damped H\'enon-Heiles System

Autor: Maheswari, C. Uma, Muthuchamy, N., Chandrasekar, V. K., Sahadevan, R., Lakshmanan, M.

We consider a modified damped version of H\'enon-Heiles system and investigate its integrability. By extending the Painlev\'e analysis of ordinary differential equations we find that the modified H\'enon-Heiles system possesses the Painlev\'e propert

Externí odkaz: http://arxiv.org/abs/2403.08410

A Survey on Brain-Computer Interface and Related Applications

Autor: Pai, Krishna, Kallimani, Rakhee, Iyer, Sridhar, Maheswari, B. Uma, Khanai, Rajashri, Torse, Dattaprasad

Publikováno v: Machine Intelligence for Internet of Medical Things: Applications and Future Trends, Computational Intelligence for Data Analysis (2023) 2:210-228 (19)

BCI systems are able to communicate directly between the brain and computer using neural activity measurements without the involvement of muscle movements. For BCI systems to be widely used by people with severe disabilities, long-term studies of the

Externí odkaz: http://arxiv.org/abs/2203.09164

The identification of possible reference planes on a CBCT scan taken with a small FOV—an observational analytical study

Autor: Felicita A. Sumathi, Maheswari T.N. Uma

Publikováno v: Australasian Orthodontic Journal, Vol 39, Iss 2, Pp 174-184 (2023)

Unlike a CBCT scan which has a large field of view (FOV), a scan with a small FOV may not involve the base of the skull. Therefore, routinely used reference planes may not be available to evaluate treatment outcome. The present study was undertaken t

Externí odkaz: https://doaj.org/article/0db36fb1ae0a43acb014d91662dc08c9

Land Use and Land Cover Classification using a Human Group based Particle Swarm Optimization Algorithm with a LSTM classifier on hybrid-pre-processing Remote Sensing Images

Autor: Babu, R. Ganesh, Maheswari, K. Uma, Zarro, C., Parameshachari, B. D., Ullo, S. L.

Land use and land cover (LULC) classification using remote sensing imagery plays a vital role in many environment modeling and land use inventories. In this study, a hybrid feature optimization algorithm along with a deep learning classifier is propo

Externí odkaz: http://arxiv.org/abs/2008.01635

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