[HTML][HTML] Deep learning-powered vessel traffic flow prediction with spatial-temporal attributes and similarity grouping
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 …
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
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 …
data massively over the network, and it leads to the emergence of challenges related to high …
Strategic Leadership And Alignment Affect Organisation Performance
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 …
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 …
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
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 …
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
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 …
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
The empirical application of polarization and depolarization current (PDC) measurement of
transformers facilitates the extraction of critical insulation-sensitive parameters. This …
transformers facilitates the extraction of critical insulation-sensitive parameters. This …
Transformer faults detection using inrush transients based on multi-class svm
Inrush currents with low damping can arise during transformer energisation due to abrupt
load changes, asymmetrical flux, and saturation. Moreover, the development of such …
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 …
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
Power transformers are critical for grids, facilitating transmission, distribution, and voltage
conversion. However, their insulation degrades over time, instigating catastrophic failures …
conversion. However, their insulation degrades over time, instigating catastrophic failures …