| 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 | 411 | 2021 |
| 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 | 228 | 2021 |
| Landslide susceptibility mapping using machine learning: A literature survey M Ado, K Amitab, AK Maji, E Jasińska, R Gono, Z Leonowicz, M Jasiński Remote Sensing 14 (13), 3029, 2022 | 116 | 2022 |
| 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 | 88 | 2021 |
| A five convolutional layer deep convolutional neural network for plant leaf disease detection JA Pandian, K Kanchanadevi, VD Kumar, E Jasińska, R Goňo, ... Electronics 11 (8), 1266, 2022 | 77 | 2022 |
| 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 | 75 | 2022 |
| 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 | 72 | 2021 |
| Plant disease identification using shallow convolutional neural network SM Hassan, M Jasinski, Z Leonowicz, E Jasinska, AK Maji Agronomy 11 (12), 2388, 2021 | 67 | 2021 |
| Exploring the nexus of renewable energy, ecological footprint, and economic growth through globalization and human capital in g7 economics R Radmehr, S Shayanmehr, EB Ali, EK Ofori, E Jasińska, M Jasiński Sustainability 14 (19), 12227, 2022 | 66 | 2022 |
| 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 | 66 | 2021 |
| 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 | 51 | 2021 |
| An approach for classification of Alzheimer’s disease using deep neural network and brain magnetic resonance imaging (MRI) RA Hazarika, AK Maji, D Kandar, E Jasinska, P Krejci, Z Leonowicz, ... Electronics 12 (3), 676, 2023 | 43 | 2023 |
| 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 | 39 | 2020 |
| Energy diversification: a friend or foe to economic growth in Nordic countries? A novel energy diversification approach N Ahmed, AA Sheikh, F Mahboob, MS Ali, E Jasińska, M Jasiński, ... Energies 15 (15), 5422, 2022 | 38 | 2022 |
| Optimal operation of microgrids with demand-side management based on a combination of genetic algorithm and artificial bee colony M Dashtdar, A Flah, SMS Hosseinimoghadam, H Kotb, E Jasińska, ... Sustainability 14 (11), 6759, 2022 | 31 | 2022 |
| Renewable revolution: a review of strategic flexibility in future power systems S Shahzad, E Jasińska Sustainability 16 (13), 5454, 2024 | 29 | 2024 |
| Solving the environmental/economic dispatch problem using the hybrid FA-GA multi-objective algorithm M Dashtdar, A Flah, SMS Hosseinimoghadam, CR Reddy, H Kotb, ... Energy Reports 8, 13766-13779, 2022 | 23 | 2022 |
| The application of hierarchical clustering to power quality measurements in an electrical power network with distributed generation M Jasiński, T Sikorski, Z Leonowicz, K Borkowski, E Jasińska Energies 13 (9), 2407, 2020 | 22 | 2020 |
| Influence of measurement aggregation algorithms on power quality assessment and correlation analysis in electrical power network with PV power plant M Jasiński, T Sikorski, P Kostyła, D Kaczorowska, Z Leonowicz, J Rezmer, ... Energies 12 (18), 3547, 2019 | 21 | 2019 |
| Intelligent scheduling of smart home appliances based on demand response considering the cost and peak-to-average ratio in residential homes N Tutkun, A Burgio, M Jasinski, Z Leonowicz, E Jasinska Energies 14 (24), 8510, 2021 | 20 | 2021 |
Michał JasińskiFaculty of Electrical Engineering, Wroclaw Univeristy of Science and TechnologyVerified email at pwr.edu.pl
