Prohlížení Publikační činnost Katedry elektroenergetiky / Publications of Department of Electrical Power Engineering (410) dle názvu
Zobrazují se záznamy 1-20 z 111
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A five convolutional layer deep convolutional neural network for plant leaf disease detection
(Electronics. 2022, vol. 11, issue 8, art. no. 1266.) -
A heuristic approach to Active Demand Side Management in Off-Grid systems operated in a Smart-Grid environment
(Energy and Buildings. 2015, vol. 96, p. 272-284.) -
A hybrid supervised machine learning classifier system for breast cancer prognosis using feature selection and data imbalance handling approaches
(Electronics. 2021, vol. 10, issue 6, art. no. 699.) -
A modified multi-level inverter system for grid-tied DES applications
(Sustainability. 2022, vol. 14, issue 24, art. no. 16545.) -
A multifunctional dynamic voltage restorer for power quality improvement
(Energies. 2018, vol. 11, issue 6, art. no. 1351.) -
A novel approach to adaptive active relay protection system in single phase AC coupling Off-Grid systems
(Electric Power Systems Research. 2016, vol. 131, p. 159-167.) -
A novel approach to utilization vehicle to grid technology in microgrid environment
(International Journal of Electrical Power & Energy Systems. 2024, vol. 158, art. no. 109921.) -
A novel fusion model of hand-crafted features with deep convolutional neural networks for classification of several chest diseases using X-ray images
(IEEE Access. 2023, vol. 11, p. 39243-39268.) -
A novel method for detection of covered conductor faults in medium voltage overhead line systems
(IEEE Transactions on Industrial Electronics. 2018, vol. 65, issue 1, p. 543-552.) -
A review on resonant inductive coupling pad design for wireless electric vehicle charging application
(Energy Reports. 2023, vol. 10, p. 2047-2079.) -
A simple method for tree fall detection on medium voltage overhead lines with covered conductors
(IEEE Transactions on Power Delivery. 2021, vol. 36, issue 3, p. 1411-1417.) -
A simulation of energy storage system for improving the power system stability with grid-connected PV using MCA analysis and LabVIEW tool
(Advances in electrical and electronic engineering. 2015, vol. 13, no. 2, p. 127-136) -
A survey on different plant diseases detection using machine learning techniques
(Electronics. 2022, vol. 11, issue 17, art. no. 2641.) -
Advanced Control of the dynamic voltage restorer for mitigating voltage sags in power systems
(Advances in electrical and electronic engineering. 2018, vol. 16, no. 1, p. 36-45) -
An approach for classification of Alzheimer’s disease using deep neural network and brain magnetic resonance imaging (MRI)
(Electronics. 2023, vol. 12, issue 3, art. no. 676.) -
An improvement in dynamic behavior of single phase PM brushless DC motor using deep neural network and mixture of experts
(IEEE Access. 2023, vol. 11, p. 64260-64271.) -
Analysis of distorted waveforms in power converter systems
(Przegląd elektrotechniczny. 2011, r. 87, nr. 1, s. 254-257.) -
Analysis of earthquake forecasting in India using supervised machine learning classifiers
(Sustainability. 2021, vol. 13, issue 2, art. no. 971.) -
Analysis of photovoltaic (PV) module during partial shading based on simplified two-diode model
(International Journal of Emerging Electric Power Systems. 2015, vol. 16, issue 1, p. 15-21.) -
Analysis of the power supply restoration time after failures in power transmission lines
(Energies. 2020, vol. 13, issue 11, art. no. 2736.)