[HTML][HTML] Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping

Y Li, M Liang, H Li, Z Yang, L Du, Z Chen - Engineering Applications of …, 2023 - Elsevier
Perceiving the future trend of Vessel Traffic Flow (VTF) in advance has great application
values in the maritime industry. However, using such big data from the Automatic …

An Improvised Virtual Queue Algorithm to Manipulate the Congestion in High-Speed Network

SS Priscila, SS Rajest, T Shynu… - … Asian Journal of …, 2022 - cajmns.centralasianstudies.org
In the recent technological era, advancement in the application allows faster transmission of
data massively over the network, and it leads to the emergence of challenges related to high …

Strategic Leadership And Alignment Affect Organisation Performance

SS Rajest, R Regin, T Shynu - … Asian Journal Of …, 2022 - cajmtcs.centralasianstudies.org
A fast-changing world has created a speed-obsessed society. In this development-seeking
and innovation-driven environment, leaders and individuals must adopt more strategic …

An Analytical Study of Development in Response to the COVID-19 Pandemic

R Regin, SS Rajest - Central Asian Journal of …, 2023 - cajmns.centralasianstudies.org
The common cold, severe acute respiratory syndrome, and Middle East respiratory
syndrome are all examples of disorders that can be caused by coronaviruses, which are a …

Deep learning-based transformer moisture diagnostics using long short-term memory networks

A Vatsa, AS Hati, V Bolshev, A Vinogradov… - Energies, 2023 - mdpi.com
Power transformers play a crucial role in maintaining the stability and reliability of energy
systems. Accurate moisture assessment of transformer oil-paper insulation is critical for …

Effect of Formic Acid on Furfural Diffusion in Transformer Oil–Paper Insulation Based on Molecular Dynamics Simulation

H Zhang, C Liu, E Zhang, X Fan… - … on Dielectrics and …, 2022 - ieeexplore.ieee.org
Furfural content dissolved in transformer oil is affected by the furfural diffusion in oil–paper
insulation. Previous studies focused on the effects of temperature and moisture on furfural …

Residual LSTM-based short duration forecasting of polarization current for effective assessment of transformers insulation

A Vatsa, AS Hati, P Kumar, M Margala… - Scientific Reports, 2024 - nature.com
The empirical application of polarization and depolarization current (PDC) measurement of
transformers facilitates the extraction of critical insulation-sensitive parameters. This …

Transformer faults detection using inrush transients based on multi-class svm

A Vatsa, AS Hati - 2022 IEEE 6th International Conference on …, 2022 - ieeexplore.ieee.org
Inrush currents with low damping can arise during transformer energisation due to abrupt
load changes, asymmetrical flux, and saturation. Moreover, the development of such …

Aging State Evaluation for Insulation Paper of Traction Transformer Hotspot Region Based on FDS and Intelligent Algorithm

H Gong, Z Jiang, J Liu, X Fan, T Wu… - IEEE Transactions …, 2024 - ieeexplore.ieee.org
Oil-paper insulation materials are widely used in various types of traction transformers.
However, existing methods cannot effectively evaluate aging state of hotspot insulation …

Enhancing Transformer Health Monitoring With AI-Driven Prognostic Diagnosis Trends: Overcoming Traditional Methodology's Computational Limitations

A Vatsa, AS Hati, AK Rathore - IEEE Industrial Electronics …, 2023 - ieeexplore.ieee.org
Power transformers are critical for grids, facilitating transmission, distribution, and voltage
conversion. However, their insulation degrades over time, instigating catastrophic failures …