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Michał Jasiński
Michał Jasiński
Faculty of Electrical Engineering, Wroclaw Univeristy of Science and Technology
Verified email at pwr.edu.pl - Homepage
Title
Cited by
Cited by
Year
Identification of plant-leaf diseases using CNN and transfer-learning approach
SM Hassan, AK Maji, M Jasiński, Z Leonowicz, E Jasińska
Electronics 10 (12), 1388, 2021
1412021
Prediction of chronic kidney disease-a machine learning perspective
P Chittora, S Chaurasia, P Chakrabarti, G Kumawat, T Chakrabarti, ...
IEEE Access 9, 17312-17334, 2021
702021
A case study on distributed energy resources and energy-storage systems in a virtual power plant concept: Economic aspects
T Sikorski, M Jasiński, E Ropuszyńska-Surma, M Węglarz, ...
Energies 12 (23), 4447, 2019
462019
Adaptive neuro-fuzzy inference system-based maximum power tracking controller for variable speed WECS
AA Chhipa, V Kumar, RR Joshi, P Chakrabarti, M Jasinski, A Burgio, ...
Energies 14 (19), 6275, 2021
422021
Dermatologist-level classification of skin cancer using cascaded ensembling of convolutional neural network and handcrafted features based deep neural network
AK Sharma, S Tiwari, G Aggarwal, N Goenka, A Kumar, P Chakrabarti, ...
IEEE Access 10, 17920-17932, 2022
412022
A hybrid supervised machine learning classifier system for breast cancer prognosis using feature selection and data imbalance handling approaches
YS Solanki, P Chakrabarti, M Jasinski, Z Leonowicz, V Bolshev, ...
Electronics 10 (6), 699, 2021
392021
A case study on distributed energy resources and energy-storage systems in a virtual power plant concept: Technical aspects
T Sikorski, M Jasiński, E Ropuszyńska-Surma, M Węglarz, ...
Energies 13 (12), 3086, 2020
382020
Deep Learning methods for classification of certain abnormalities in Echocardiography
I Wahlang, AK Maji, G Saha, P Chakrabarti, M Jasinski, Z Leonowicz, ...
Electronics 10 (4), 495, 2021
372021
Brain magnetic resonance imaging classification using deep learning architectures with gender and age
I Wahlang, AK Maji, G Saha, P Chakrabarti, M Jasinski, Z Leonowicz, ...
Sensors 22 (5), 1766, 2022
362022
Clustering as a tool to support the assessment of power quality in electrical power networks with distributed generation in the mining industry
M Jasiński, T Sikorski, K Borkowski
Electric Power Systems Research 166, 52-60, 2019
362019
Balancing agility and discipline with xprince
J Nawrocki, L Olek, M Jasinski, B Paliświat, B Walter, B Pietrzak, P Godek
Rapid Integration of Software Engineering Techniques: Second International …, 2006
352006
Impact of Harmonic Currents of Nonlinear Loads on Power Quality of a Low Voltage Network–Review and Case Study
Ł Michalec, M Jasiński, T Sikorski, Z Leonowicz, Ł Jasiński, V Suresh
Energies 14 (12), 3665, 2021
342021
Analysis of earthquake forecasting in India using supervised machine learning classifiers
P Debnath, P Chittora, T Chakrabarti, P Chakrabarti, Z Leonowicz, ...
Sustainability 13 (2), 971, 2021
342021
A hybrid decentralized stochastic-robust model for optimal coordination of electric vehicle aggregator and energy hub entities
A Najafi, M Pourakbari-Kasmaei, M Jasinski, M Lehtonen, Z Leonowicz
Applied Energy 304, 117708, 2021
302021
Online rotor and stator resistance estimation based on artificial neural network applied in sensorless induction motor drive
T Pham Van, D Vo Tien, Z Leonowicz, M Jasinski, T Sikorski, ...
Energies 13 (18), 4946, 2020
282020
Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers
S Senkevich, V Bolshev, E Ilchenko, P Chakrabarti, M Jasiński, ...
IEEE Access 9, 71784-71804, 2021
272021
Estimation of life cycle of distribution transformer in context to furan content formation, pollution index, and dielectric strength
R Soni, P Chakrabarti, Z Leonowicz, M Jasiński, K Wieczorek, V Bolshev
IEEE Access 9, 37456-37465, 2021
272021
A medium-term hybrid IGDT-Robust optimization model for optimal self scheduling of multi-carrier energy systems
A Najafi, M Pourakbari-Kasmaei, M Jasinski, M Lehtonen, Z Leonowicz
Energy 238, 121661, 2022
262022
Combined cluster analysis and global power quality indices for the qualitative assessment of the time-varying condition of power quality in an electrical power network with …
M Jasiński, T Sikorski, P Kostyła, Z Leonowicz, K Borkowski
Energies 13 (8), 2050, 2020
242020
Analysis of the power supply restoration time after failures in power transmission lines
A Vinogradov, V Bolshev, A Vinogradova, M Jasiński, T Sikorski, ...
Energies 13 (11), 2736, 2020
222020
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