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Petr Musilek
Petr Musílek
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- affiliation: University of Alberta, Edmonton, Canada
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2020 – today
- 2024
- [j36]Yashar Kor
, Liang Tan, Petr Musilek
Integrating Knowledge Graphs into Distribution Grid Decision Support Systems. Future Internet 16(1): 2 (2024) - [j35]Mikael Sabuhi
Micro-FL: A Fault-Tolerant Scalable Microservice-Based Platform for Federated Learning. Future Internet 16(3): 70 (2024) - [j34]Caixiang Fan
BPET: A Unified Blockchain-Based Framework for Peer-to-Peer Energy Trading. Future Internet 16(5): 162 (2024) - [j33]Fariha Imam, Petr Musilek
Parametric and Nonparametric Machine Learning Techniques for Increasing Power System Reliability: A Review. Inf. 15(1): 37 (2024) - [c74]Omar A. Ibrahim, Jianxi Wang, Marek Z. Reformat, Petr Musilek, James C. Bezdek:
Generalized Deep Embedded Fuzzy C-Means for Clustering High-Dimensional Data. FUZZ 2024: 1-8 - [i8]Daniel C. May, Petr Musilek:
Transactive Local Energy Markets Enable Community-Level Resource Coordination Using Individual Rewards. CoRR abs/2403.15617 (2024) - [i7]Daniel May, Matthew Taylor, Petr Musilek:
Decentralized Coordination of Distributed Energy Resources through Local Energy Markets and Deep Reinforcement Learning. CoRR abs/2404.13142 (2024) - 2023
- [j32]Nastaran Gholizadeh
A Comparative Study of Reinforcement Learning Algorithms for Distribution Network Reconfiguration With Deep Q-Learning-Based Action Sampling. IEEE Access 11: 13714-13723 (2023) - [j31]Zahra Nazari
Impact of Digital Transformation on the Energy Sector: A Review. Algorithms 16(4): 211 (2023) - [j30]Nazli Kazemi
Resolution enhancement of microwave sensors using super-resolution generative adversarial network. Expert Syst. Appl. 213(Part): 119252 (2023) - [j29]Bahareh Lashkari
Evaluation of Smart Contract Vulnerability Analysis Tools: A Domain-Specific Perspective. Inf. 14(10): 533 (2023) - [j28]Peter Atrazhev
It's All about Reward: Contrasting Joint Rewards and Individual Reward in Centralized Learning Decentralized Execution Algorithms. Syst. 11(4): 180 (2023) - [c73]Omar A. Ibrahim, Marek Z. Reformat, Petr Musilek:
Incremental Cluster Validity Index for Predicting Early Signs of Change in Data Streams. FUZZ 2023: 1-7 - [c72]Zahra Nazari
The Gender Digital Divide and Education in Afghanistan: A Review. IHTC 2023: 1-7 - 2022
- [j27]Nastaran Gholizadeh
Federated learning with hyperparameter-based clustering for electrical load forecasting. Internet Things 17: 100470 (2022) - [j26]Nazli Kazemi
Selective Microwave Zeroth-Order Resonator Sensor Aided by Machine Learning. Sensors 22(14): 5362 (2022) - [c71]Tianyu Zhang
Diversity for transfer in learning-based control of buildings. e-Energy 2022: 556-564 - [c70]Aidan Dachuk, Akhtar Hussain
Introducing Electric Vehicles to Remote Indigenous Communities: Benefits, Barriers, and Future Prospects. IHTC 2022: 23-26 - [c69]Pengyue Hou, Ming Zhou, Jie Han, Petr Musílek, Xingyu Li:
Adversarial Fine-tune with Dynamically Regulated Adversary. IJCNN 2022: 1-8 - [c68]Akhtar Hussain
A Reward Mechanism for Reliability-as-a-Service Usage of Electric Vehicles. ISGT 2022: 1-5 - [c67]Peter Atrazhev, Petr Musilek:
Investigating Effects of Centralized Learning Decentralized Execution on Team Coordination in the Level Based Foraging Environment as a Sequential Social Dilemma. PAAMS 2022: 15-23 - [c66]Mikael Sabuhi, Petr Musílek, Cor-Paul Bezemer
Studying the Performance Risks of Upgrading Docker Hub Images: A Case Study of WordPress. ICPE 2022: 97-104 - [i6]Pengyue Hou, Ming Zhou, Jie Han, Petr Musílek, Xingyu Li:
Adversarial Fine-tune with Dynamically Regulated Adversary. CoRR abs/2204.13232 (2022) - 2021
- [j25]Bahareh Lashkari
A Comprehensive Review of Blockchain Consensus Mechanisms. IEEE Access 9: 43620-43652 (2021) - [j24]Mohammed Al-Saffar
Distributed Optimization for Distribution Grids With Stochastic DER Using Multi-Agent Deep Reinforcement Learning. IEEE Access 9: 63059-63072 (2021) - [j23]Mikael Sabuhi
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review. IEEE Access 9: 161003-161029 (2021) - [j22]Nazli Kazemi
A High-Resolution Reflective Microwave Planar Sensor for Sensing of Vanadium Electrolyte. Sensors 21(11): 3759 (2021) - [j21]Caixiang Fan
Performance Analysis of the IOTA DAG-Based Distributed Ledger. ACM Trans. Model. Perform. Evaluation Comput. Syst. 6(3): 10:1-10:20 (2021) - [c65]Carolina Quiroz Juárez, Petr Musílek:
Optimal real-time scheduling of battery operation using reinforcement learning. CCECE 2021: 1-7 - [c64]Kalvin Schofield, Nazli Kazemi
VRF Battery Characterization Using Microwave Planar Complementary Split Ring Resonators. CCECE 2021: 1-6 - [i5]Sara Ghaemi, Sara Rouhani, Rafael Belchior, Rui Santos Cruz
A Pub-Sub Architecture to Promote Blockchain Interoperability. CoRR abs/2101.12331 (2021) - [i4]Mikael Sabuhi, Ming Zhou, Cor-Paul Bezemer, Petr Musílek:
Applications of Generative Adversarial Networks in Anomaly Detection: A Systematic Literature Review. CoRR abs/2110.12076 (2021) - [i3]Nastaran Gholizadeh, Petr Musílek:
Federated Learning with Hyperparameter-based Clustering for Electrical Load Forecasting. CoRR abs/2111.07462 (2021) - 2020
- [j20]Caixiang Fan
Performance Evaluation of Blockchain Systems: A Systematic Survey. IEEE Access 8: 126927-126950 (2020) - [j19]Sara Ghaemi
ChainFaaS: An Open Blockchain-Based Serverless Platform. IEEE Access 8: 131760-131778 (2020) - [j18]Pavel Krömer, Martin Hasal
Statistical and Nature-Inspired Modeling of Vehicle Flows by Using Finite Mixtures of Simple Circular Normal Distributions. IEEE Intell. Transp. Syst. Mag. 12(4): 182-194 (2020) - [j17]Mohammed Al-Saffar
Reinforcement Learning-Based Distributed BESS Management for Mitigating Overvoltage Issues in Systems With High PV Penetration. IEEE Trans. Smart Grid 11(4): 2980-2994 (2020) - [c63]Michal Prauzek
Self-learning for Day-night Mode Energy Strategy for Solar Powered Environmental WSN Nodes. CCECE 2020: 1-5 - [c62]Justin Schlauwitz, Petr Musílek:
A Dimension-Wise Particle Swarm Optimization Algorithm Optimized via Self-Tuning. CEC 2020: 1-8 - [c61]Elizaveta Kharlova, Daniel C. May
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention. IJCNN 2020: 1-7 - [i2]Elizaveta Kharlova, Daniel C. May, Petr Musílek:
Forecasting Photovoltaic Power Production using a Deep Learning Sequence to Sequence Model with Attention. CoRR abs/2008.02775 (2020)
2010 – 2019
- 2019
- [c60]Mohammed Al-Saffar, Petr Musílek:
Distributed Optimal Power Flow for Electric Power Systems with High Penetration of Distributed Energy Resources. CCECE 2019: 1-5 - [c59]Mohammed Al-Saffar, Steven Zhang, Alexandre B. Nassif
Assessment of Photovoltaic Hosting Capacity of Existing Distribution Circuits. CCECE 2019: 1-4 - [c58]Michael Bardwell, Petr Musílek:
Enhancing Power Flow Simulations Using Function Mapping. CCECE 2019: 1-5 - [c57]Tomás Barton, Petr Musílek:
Day-Ahead Dynamic Thermal Line Rating Using Numerical Weather Prediction. CCECE 2019: 1-7 - [c56]Shida Zhang, Daniel C. May
ETX: A Flexible Simulation Framework for Design of Transactive Energy Systems. CCECE 2019: 1-4 - [c55]Caixiang Fan, Hamzeh Khazaei, Yuxiang Chen
Towards A Scalable DAG-based Distributed Ledger for Smart Communities. WF-IoT 2019: 177-182 - 2018
- [j16]Dragos Mocrii
IoT-based smart homes: A review of system architecture, software, communications, privacy and security. Internet Things 1-2: 81-98 (2018) - [j15]Michal Prauzek
Energy Harvesting Sources, Storage Devices and System Topologies for Environmental Wireless Sensor Networks: A Review. Sensors 18(8): 2446 (2018) - [c54]Graeme Vanderstar, Petr Musílek, Alexandre B. Nassif
Solar Forecasting Using Remote Solar Monitoring Stations and Artificial Neural Networks. CCECE 2018: 1-4 - [c53]Michal Prauzek
Q-Learning Algorithm for Energy Management in Solar Powered Embedded Monitoring Systems. CEC 2018: 1-7 - [c52]Pavel Krömer, Martin Hasal, Jana Nowaková
Modelling Hourly Vehicle Flows by a Finite Mixture of Simple Circular Normal Distributions. ITSC 2018: 1285-1290 - [c51]Michael Bardwell, Jason Wong
Design Considerations for IoT-Based PV Charge Controllers. SERVICES 2018: 59-60 - 2017
- [j14]Yaqiong Li, Petr Musílek
Improving the prediction of wind power ramps using texture extraction techniques applied to atmospheric pressure fields. Int. J. Data Sci. Anal. 4(4): 237-250 (2017) - [c50]Majed Althubaiti, Michael Bernard, Petr Musílek:
Fuzzy logic controller for hybrid renewable energy system with multiple types of storage. CCECE 2017: 1-6 - [c49]Petr Musílek, Pavel Krömer, Rodrigo Martins, Holger C. Hesse
Optimal energy management of residential PV/HESS using evolutionary fuzzy control. CEC 2017: 2094-2101 - [c48]Pavel Krömer, Jana Heckenbergerova, Petr Musílek:
Accurate mixed weibull distribution fitting by differential evolution. GECCO 2017: 1161-1168 - [c47]Justin Schlauwitz, Petr Musílek:
Demonstration of a primitive dissipating-predictive-state planning actor-critic in a game of cat and mouse. SMC 2017: 1764-1769 - [c46]Rodrigo Martins, Pavel Kreimer, Petr Musílek:
LP-based predictive energy management system for residential PV/BESS. SMC 2017: 3727-3732 - 2016
- [j13]Michal Prauzek
Differential evolution of fuzzy controller for environmentally-powered wireless sensors. Appl. Soft Comput. 48: 193-206 (2016) - [j12]Jaromir Konecny
Novel Point-to-Point Scan Matching Algorithm Based on Cross-Correlation. Mob. Inf. Syst. 2016: 6463945:1-6463945:11 (2016) - [c45]Yaqiong Li, Petr Musílek, Edward Lozowski, Chaobo Dai, Tongxun Wang, Zhengang Lu:
Temporal Uncertainty of Wind Ramp Predictions Using Probabilistic Forecasting Technique. BigDataService 2016: 166-173 - [c44]Obiora Sam Ezeora, Jana Heckenbergerova, Petr Musílek, James Rodway:
Sampling control in environmental monitoring systems using recurrent neural networks. CCECE 2016: 1-4 - [c43]James Rodway, Petr Musílek:
Wireless sensor networks with pressure-based energy forecasting: A simulation study. CCECE 2016: 1-4 - [c42]Rodrigo Martins, Petr Musílek:
Optimization of photovoltaic power self-consumption using genetic algorithm. CEC 2016: 1249-1255 - [c41]Justin Schlauwitz, Petr Musílek:
Smart renewable energy management system for consumer applications. CEC 2016: 2006-2013 - [c40]James Rodway, Pavel Krömer, Soheila Karimi, Petr Musílek:
Differential evolution optimized fuzzy controller for wireless sensor network energy management. FUZZ-IEEE 2016: 352-358 - [c39]Soheila Karimi, Andrew Michael Knight, Petr Musílek:
A comparison between fuzzy and probabilistic estimation of Dynamic Thermal Rating of transmission lines. FUZZ-IEEE 2016: 1740-1744 - [c38]Tomás Barton, Petr Musílek:
Derivative based prediction with look ahead. IJCNN 2016: 2118-2123 - 2015
- [j11]Petr Musílek
Review of nature-inspired methods for wake-up scheduling in wireless sensor networks. Swarm Evol. Comput. 25: 100-118 (2015) - [c37]Majid RobatJazi, Marek Z. Reformat
LORI: Linguistically Oriented RDF Interface for Querying Fuzzy Temporal Data. FQAS 2015: 337-352 - [c36]Petr Musílek, Pavel Krömer, James Rodway, Michal Prauzek
Pressure-based forecasting of next-day solar energy availability using evolutionary fuzzy rules. FUZZ-IEEE 2015: 1-8 - [c35]Pavel Krömer
Estimating Harvestable Solar Energy from Atmospheric Pressure Using Support Vector Regression. INCoS 2015: 192-199 - [c34]Michal Prauzek
Energy Availability Forecasting for Harvesting-aware Wireless Sensor Networks: Analysis of Energy Demand of a Predictor Based on Evolutionary Fuzzy Rules. INCoS 2015: 200-203 - [c33]Obiora Sam Ezeora, Jana Heckenbergerova, Petr Musílek, Pavel Krömer
Evaluation of Errors Caused by Lowering Frequency of Measurements of an Environmental Sensor Station. INCoS 2015: 204-210 - [c32]Pavel Krömer
Neutron-Gamma Classification by Evolutionary Fuzzy Rules and Support Vector Machines. SMC 2015: 2638-2642 - [c31]Petr Musílek, Pavel Krömer
E-BACH: Entropy-Based Clustering Hierarchy for Wireless Sensor Networks. WI-IAT (3) 2015: 231-232 - [c30]Majid RobatJazi, Marek Z. Reformat
Querying RDF Data with Imprecise Time Phrases. WI-IAT (1) 2015: 445-450 - [p1]Pavel Krömer
Bio-inspired Routing Strategies for Wireless Sensor Networks. Propagation Phenomena in Real World Networks 2015: 155-181 - 2014
- [c29]Jana Heckenbergerova, Petr Musílek
Optimization of Wind Direction Distribution Parameters Using Particle Swarm Optimization. AECIA 2014: 15-26 - [c28]Michal Prauzek
Simulation of adaptive duty cycling in solar powered environmental monitoring systems. CCECE 2014: 1-6 - [c27]Pavel Krömer
Optimization of Wireless Sensor Node Parameters by Differential Evolution and Particle Swarm Optimization. IBICA 2014: 13-22 - [c26]Michal Prauzek
Fuzzy algorithm for intelligent wireless sensors with solar harvesting. IES 2014: 1-7 - [c25]Petr Musílek, Pavel Krömer
Location-specific optimization of energy harvesting environmental monitoring systems. IES 2014: 8-13 - [c24]Pavel Krömer, Petr Musílek
Support Vector Regression of multiple predictive models of downward short-wave radiation. IJCNN 2014: 651-657 - [c23]Asher G. Watts, Michal Prauzek
Fuzzy power management for environmental monitoring systems in tropical regions. IJCNN 2014: 1719-1726 - [c22]Pavel Krömer
Harvesting-aware control of wireless sensor nodes using fuzzy logic and differential evolution. SECON Workshops 2014: 51-56 - [c21]Marek Z. Reformat
Fuzziness and Ontology in Personalization of Selection Processes in the Semantic Web. WI-IAT (2) 2014: 237-244 - [i1]Yifan Li, Petr Musílek, Marek Z. Reformat, Loren Wyard-Scott:
Identification of Pleonastic It Using the Web. CoRR abs/1401.5698 (2014) - 2013
- [c20]Jana Heckenbergerova, Petr Musílek
Estimation of wind direction distribution with genetic algorithms. CCECE 2013: 1-4 - [c19]James Redway, Petr Musílek
Towards prediction of photovoltaic power quality. CCECE 2013: 1-4 - [c18]Milan Siler, Jana Heckenbergerova, Petr Musílek
Sensitivity analysis of conductor current-temperature calculations. CCECE 2013: 1-4 - [c17]Asher G. Watts, Petr Musílek
Optimizing fuzzy control of energy harvesting remote monitoring systems. IFSA/NAFIPS 2013: 661-666 - [c16]Ashkan Zarnani, Petr Musílek
Non-parametric interval forecast models from fuzzy clustering of Numerical Weather Predictions. IFSA/NAFIPS 2013: 667-672 - [c15]Yaqiong Li, Petr Musílek
Identification of atmospheric pressure troughs using image processing techniques. IFSA/NAFIPS 2013: 722-726 - [c14]Ashkan Zarnani, Petr Musílek
Learning uncertainty models from weather forecast performance databases using quantile regression. SSDBM 2013: 16:1-16:9 - 2012
- [j10]Ashkan Zarnani, Petr Musílek
Learning to predict ice accretion on electric power lines. Eng. Appl. Artif. Intell. 25(3): 609-617 (2012) - [c13]Pawel Pytlak, Petr Musílek
Selective upgrading of transmission lines using DTCR. CCECE 2012: 1-4 - [c12]Ashkan Zarnani, Petr Musílek
Modeling Forecast Uncertainty Using Fuzzy Clustering. SOCO 2012: 287-296 - 2010
- [c11]Md M. I. Bhuiyan, Petr Musílek
Evaluating thermal aging characteristics of electric power transmission lines. CCECE 2010: 1-4 - [c10]Demian Pimentel, Petr Musílek
Power management with energy harvesting devices. CCECE 2010: 1-4 - [c9]James Rodway, Petr Musílek
Estimation of missing data points from remotely sensed datasets. CCECE 2010: 1-4
2000 – 2009
- 2009
- [j9]Martin Vejmelka, Petr Musílek
K-Means Clustering for Problems with Periodic Attributes. Int. J. Pattern Recognit. Artif. Intell. 23(4): 721-743 (2009) - [j8]Adriel Lau, Petr Musílek
Immune programming models of Cryptosporidium parvum inactivation by ozone and chlorine dioxide. Inf. Sci. 179(10): 1469-1482 (2009) - [j7]Yifan Li, Petr Musílek, Marek Z. Reformat
Identification of Pleonastic It Using the Web. J. Artif. Intell. Res. 34: 339-389 (2009) - 2006
- [j6]Petr Musílek
Immune programming. Inf. Sci. 176(8): 972-1002 (2006) - [j5]Atchara Mahaweerawat, Peraphon Sophatsathit, Chidchanok Lursinsap, Petr Musílek:
MASP - An Enhanced Model of Fault Type Identification in Object-Oriented Software Engineering. J. Adv. Comput. Intell. Intell. Informatics 10(3): 312-322 (2006) - [j4]Lukasz A. Kurgan
A survey of Knowledge Discovery and Data Mining process models. Knowl. Eng. Rev. 21(1): 1-24 (2006) - [c8]Armita Kaboli, Michael H. Bowling, Petr Musílek:
Bayesian Calibration for Monte Carlo Localization. AAAI 2006: 964-969 - [c7]Petr Musílek, Emil Pelikán, Tomas Brabec, Milan Simunek:
Recurrent Neural Network Based Gating for Natural Gas Load Prediction System. IJCNN 2006: 3736-3741 - [c6]Farooq Ahmad, Petr Musílek
A Keystroke and Pointer Control Input Interface for Wearable Computers. PerCom 2006: 2-11 - [c5]Farooq Ahmad, Petr Musílek:
UbiHand: a wearable input device for 3D interaction. SIGGRAPH Research Posters 2006: 159 - 2005
- [j3]Petr Musílek, Rhea Guanlao, Guillermo Barreiro:
Genetic programming of fuzzy aggregation operations. J. Intell. Fuzzy Syst. 16(2): 107-118 (2005) - [c4]Petr Musílek
Enhanced learning classifier system for robot navigation. IROS 2005: 3390-3395 - 2004
- [c3]Marek Z. Reformat, Petr Musílek, Vanda Wu, Nicolino J. Pizzi:
Human Perception of Software Complexity: Knowledge Discovery from Software Data. ICTAI 2004: 202-206 - 2003
- [c2]Bin Shen, Xiaoyuan Su, Russell Greiner, Petr Musílek, Corrine Cheng:
Discriminative Parameter Learning of General Bayesian Network Classifiers. ICTAI 2003: 296-305 - 2002
- [c1]Petr Musílek, Witold Pedrycz, Nan Sun, Giancarlo Succi
On the Sensitivity of COCOMO II Software Cost Estimation Model. IEEE METRICS 2002: 13-20 - 2001
- [j2]Witold Pedrycz, Giancarlo Succi
Using self-organizing maps to analyze object-oriented software measures. J. Syst. Softw. 59(1): 65-82 (2001)
1990 – 1999
- 1999
- [j1]Petr Musílek, Madan M. Gupta:
Fuzzy Neural Models Based on Some New Fuzzystar Arithmetic Operations. J. Adv. Comput. Intell. Intell. Informatics 3(4): 245-254 (1999)
Coauthor Index
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