Ondrej Krejcar
Ondrej Krejcar
Ph.D., Full Professor at University of Hradec Kralove, vice-rector for Science and Creative
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Consequences of chronic diseases and other limitations associated with old age–a scoping review
P Maresova, E Javanmardi, S Barakovic, J Barakovic Husic, S Tomsone, ...
BMC public health 19, 1-17, 2019
Consequences of industry 4.0 in business and economics
P Maresova, I Soukal, L Svobodova, M Hedvicakova, E Javanmardi, ...
Economies 6 (3), 46, 2018
Future trends and current state of smart city concepts: A survey
A Kirimtat, O Krejcar, A Kertesz, MF Tasgetiren
IEEE access 8, 86448-86467, 2020
Breast cancer detection using infrared thermal imaging and a deep learning model
SJ Mambou, P Maresova, O Krejcar, A Selamat, K Kuca
Sensors 18 (9), 2799, 2018
Industry 4.0 for the construction industry—how ready is the industry?
R Maskuriy, A Selamat, KN Ali, P Maresova, O Krejcar
Applied Sciences 9 (14), 2819, 2019
A combined negative selection algorithm–particle swarm optimization for an email spam detection system
I Idris, A Selamat, NT Nguyen, S Omatu, O Krejcar, K Kuca, M Penhaker
Engineering Applications of Artificial Intelligence 39, 33-44, 2015
Industry 4.0 for the construction industry: Review of management perspective
R Maskuriy, A Selamat, P Maresova, O Krejcar, OO David
Economies 7 (3), 68, 2019
Modified frequency-based term weighting schemes for text classification
T Sabbah, A Selamat, MH Selamat, FS Al-Anzi, EH Viedma, O Krejcar, ...
Applied Soft Computing 58, 193-206, 2017
Multi-objective energy and daylight optimization of amorphous shading devices in buildings
A Kirimtat, O Krejcar, B Ekici, MF Tasgetiren
Solar Energy 185, 100-111, 2019
A review of infrared thermography for the investigation of building envelopes: Advances and prospects
A Kirimtat, O Krejcar
Energy and Buildings 176, 390-406, 2018
Facial expression recognition using local gravitational force descriptor-based deep convolution neural networks
K Mohan, A Seal, O Krejcar, A Yazidi
IEEE Transactions on Instrumentation and Measurement 70, 1-12, 2020
Use of mobile phones as intelligent sensors for sound input analysis and sleep state detection
O Krejcar, J Jirka, D Janckulik
Sensors 11 (6), 6037-6055, 2011
Cost–benefit analysis–evaluation model of cloud computing deployment for use in companies
P Maresova, V Sobeslav, O Krejcar
Applied Economics 49 (6), 521-533, 2017
Complex biomedical system with mobile clients
O Krejcar, D Janckulik, L Motalova
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
Problem solving of low data throughput on mobile devices by artefacts prebuffering
O Krejcar
EURASIP Journal on Wireless Communications and Networking 2009, 1-8, 2009
Mobile Monitoring Stations and Web Visualization of Biotelemetric System-Guardian II
O Krejcar, D Janckulik, L Motalova, J Kufel
Communications Infrastructure. Systems and Applications in Europe: First …, 2009
DeprNet: A deep convolution neural network framework for detecting depression using EEG
A Seal, R Bajpai, J Agnihotri, A Yazidi, E Herrera-Viedma, O Krejcar
IEEE Transactions on Instrumentation and Measurement 70, 1-13, 2021
Modern smart device-based concept of sensoric networks
M Behan, O Krejcar
EURASIP Journal on Wireless Communications and Networking 2013, 1-13, 2013
Digital learning demand for future education 4.0—Case studies at Malaysia education institutions
SDA Bujang, A Selamat, O Krejcar, P Maresova, NT Nguyen
Informatics 7 (2), 13, 2020
Architecture of mobile and desktop stations for noninvasive continuous blood pressure measurement
O Krejcar, D Janckulik, L Motalova, R Frischer
World Congress on Medical Physics and Biomedical Engineering, September 7-12 …, 2009
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