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ORCIDMichal Jasiñski
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Journal Articles
- 2023
[j20]Michal Jasiñski
, Arsalan Najafi, Omid Homaee, Mostafa Kermani, Georgios Tsaousoglou, Zbigniew Leonowicz, Tomás Novák:
Operation and Planning of Energy Hubs Under Uncertainty - A Review of Mathematical Optimization Approaches. IEEE Access 11: 7208-7228 (2023)- [j19]Mahdi Aghaabbasi, Mujahid Ali, Michal Jasiñski, Zbigniew Leonowicz, Tomás Novák:
On Hyperparameter Optimization of Machine Learning Methods Using a Bayesian Optimization Algorithm to Predict Work Travel Mode Choice. IEEE Access 11: 19762-19774 (2023) - [j18]Hassaan Malik, Tayyaba Anees, Muhammad Umar Chaudhry, Radomír Gono, Michal Jasiñski, Zbigniew Leonowicz, Petr Bernat:
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 11: 39243-39268 (2023) - [j17]Yang Zhang, Radomír Gono, Michal Jasiñski:
An Improvement in Dynamic Behavior of Single Phase PM Brushless DC Motor Using Deep Neural Network and Mixture of Experts. IEEE Access 11: 64260-64271 (2023) - [j16]Ruihong Du, Vahid Samavatian, Majid Samavatian, Tomas Gono, Michal Jasiñski:
Development of a High-Gain Step-Up DC/DC Power Converter With Magnetic Coupling for Low-Voltage Renewable Energy. IEEE Access 11: 90038-90051 (2023) - [j15]Vishnu Suresh, Przemyslaw Janik, Michal Jasiñski, Josep M. Guerrero, Zbigniew Leonowicz:
Microgrid energy management using metaheuristic optimization algorithms. Appl. Soft Comput. 134: 109981 (2023) - 2022
- [j14]Alessandro Burgio, Domenico Cimmino, Michal Jasiñski, Zbigniew Leonowicz, Pierluigi Siano:
A Heuristic Method to Calculate the Capacity of Residential PV-BESS in Providing Upward Flexibility Services in Energy Communities. IEEE Access 10: 2908-2928 (2022) - [j13]Akhilesh Kumar Sharma, Shamik Tiwari, Gaurav Aggarwal, Nitika Goenka, Anil Kumar, Prasun Chakrabarti, Tulika Chakrabarti, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski:
Dermatologist-Level Classification of Skin Cancer Using Cascaded Ensembling of Convolutional Neural Network and Handcrafted Features Based Deep Neural Network. IEEE Access 10: 17920-17932 (2022) - [j12]Michal Jasiñski, Pawel Skruch, Mateusz Komorkiewicz:
Validation Framework for Generic Radar Sensor Models. IEEE Access 10: 18257-18267 (2022) - [j11]Michal Jasiñski, Luigi Martirano, Arsalan Najafi, Omid Homaee, Zbigniew Leonowicz, Mostafa Kermani:
Microgrid Working Conditions Identification Based on Cluster Analysis - A Case Study From Lambda Microgrid. IEEE Access 10: 70971-70979 (2022) - [j10]Vivek Jain, Prasun Chakrabarti, Massimo Mitolo, Zbigniew Leonowicz, Michal Jasiñski, Alexander V. Vinogradov, Vadim Bolshev:
A Power-Efficient Multichannel Low-Pass Filter Based on the Cascaded Multiple Accumulate Finite Impulse Response (CMFIR) Structure for Digital Image Processing. Circuits Syst. Signal Process. 41(7): 3864-3881 (2022) - [j9]Muhammad Yasir, Ali Haidar, Muhammad Umar Chaudhry, Muhammad Asif Habib, Aamir Hussain, Elzbieta Jasinska, Zbigniew Leonowicz, Michal Jasiñski:
Performing in-situ analytics: Mining frequent patterns from big IoT data at network edge with D-HARPP. Eng. Appl. Artif. Intell. 116: 105480 (2022) - [j8]Moziihrii Ado, Khwairakpam Amitab, Arnab Kumar Maji, Elzbieta Jasinska, Radomír Gono, Zbigniew Leonowicz, Michal Jasiñski:
Landslide Susceptibility Mapping Using Machine Learning: A Literature Survey. Remote. Sens. 14(13): 3029 (2022) - [j7]Imayanmosha Wahlang, Arnab Kumar Maji, Goutam Saha, Prasun Chakrabarti, Michal Jasiñski, Zbigniew Leonowicz, Elzbieta Jasinska:
Brain Magnetic Resonance Imaging Classification Using Deep Learning Architectures with Gender and Age. Sensors 22(5): 1766 (2022) - 2021
- [j6]Pankaj Chittora, Sandeep Chaurasia, Prasun Chakrabarti, Gaurav Kumawat, Tulika Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Lukasz Jasinski, Radomír Gono, Elzbieta Jasinska, Vadim Bolshev:
Prediction of Chronic Kidney Disease - A Machine Learning Perspective. IEEE Access 9: 17312-17334 (2021) - [j5]Rajkumar Soni, Prasun Chakrabarti, Zbigniew Leonowicz, Michal Jasiñski, Krzysztof Wieczorek, Vadim Bolshev:
Estimation of Life Cycle of Distribution Transformer in Context to Furan Content Formation, Pollution Index, and Dielectric Strength. IEEE Access 9: 37456-37465 (2021) - [j4]Sergey Senkevich, Vadim Bolshev, Ekaterina Ilchenko, Prasun Chakrabarti, Michal Jasiñski, Zbigniew Leonowicz, Mikhail Chaplygin:
Elastic Damping Mechanism Optimization by Indefinite Lagrange Multipliers. IEEE Access 9: 71784-71804 (2021) - 2020
- [j3]Vadim Bolshev, Alexander V. Vinogradov, Michal Jasiñski, Tomasz Sikorski, Zbigniew Leonowicz, Radomír Gono:
Monitoring the Number and Duration of Power Outages and Voltage Deviations at Both Sides of Switching Devices. IEEE Access 8: 137174-137184 (2020) - [j2]Adam Gubanski, Artur Sobkowiak, Michal Jasiñski, Dominika Kaczorowska, Przemyslaw Janik, Pawel Kostyla, Zbigniew Leonowicz, Jacek Rezmer, Tomasz Sikorski, Vishnu Suresh:
Hybrid Power Plant with Storage System: University Research Station. Period. Polytech. Electr. Eng. Comput. Sci. 64: 47-52 (2020) - 2019
- [j1]Michal Jasiñski, Jacek Rezmer, Tomasz Sikorski, Jaroslaw Szymanda:
Integration Monitoring of On-grid Photovoltaic System: Case Study. Period. Polytech. Electr. Eng. Comput. Sci. 63(2): 99-105 (2019)
Conference and Workshop Papers
- 2021
- [c12]Arsalan Najafi, Mostafa Kermani, Michal Jasiñski, Luigi Martirano, Zbigniew Leonowicz:
A hybrid IGDT-robust optimization model for optimal self-scheduling of a smart home. IAS 2021: 1-5 - [c11]Michal Jasiñski:
Method for Road Occlusions Handling in Generic Sensor Models. MMAR 2021: 179-184 - 2020
- [c10]Michal Jasiñski, Tomasz Sikorski, Zbigniew Leonowicz, Dominika Kaczorowska, Vishnu Suresh, Jaroslaw Szymanda, Elzbieta Jasinska:
Different working conditions identification of a PV power plant using hierarchical clustering. ECAI 2020: 1-8 - [c9]Alexey Nekrasov, Anton Nekrasov, Vadim Bolshev, Michal Jasiñski:
Evaluation of bearing assembly lifespan for electric motors - a case study on agriculture. ECAI 2020: 1-4 - [c8]Kamil Lelowicz, Michal Jasiñski, Marcin Piatek:
Generic Sensor Model for Object Detection Algorithms Validation. KKA 2020: 1249-1260 - 2019
- [c7]Michal Jasiñski:
A Generic Validation Scheme for real-time capable Automotive Radar Sensor Models integrated into an Autonomous Driving Simulator. MMAR 2019: 612-617 - 2018
- [c6]Mark Jasinski, Elzbieta Jasinska, Michal Jasiñski, Lukasz Jasinski:
appliances to underground machines maintenance - selected issues. ECAI 2018: 1-4 - [c5]Michal Jasiñski, Tomasz Sikorski, Pawel Kostyla, Klaudiusz Borkowski:
Global power quality indices for assessment of multipoint Power quality measurements. ECAI 2018: 1-6 - 2005
- [c4]Jerzy R. Nawrocki, Michal Jasiñski, Lukasz Olek, Barbara Lange:
Pair Programming vs. Side-by-Side Programming. EuroSPI 2005: 28-38 - [c3]Jerzy R. Nawrocki, Lukasz Olek, Michal Jasiñski, Bartosz Paliswiat, Bartosz Walter, Blazej Pietrzak, Piotr Godek:
Balancing Agility and Discipline with XPrince. RISE 2005: 266-277 - 2002
- [c2]Jerzy R. Nawrocki, Michal Jasiñski, Bartosz Walter, Adam Wojciechowski:
Combining Extreme Programming with ISO 9000. EurAsia-ICT 2002: 786-794 - [c1]Jerzy R. Nawrocki, Michal Jasiñski, Bartosz Walter, Adam Wojciechowski:
Extreme Programming Modified: Embrace Requirements Engineering Practices. RE 2002: 303-310
Coauthor Index
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