Theo dơi
Emmanuel Karlo Nyarko
Emmanuel Karlo Nyarko
Faculty of Electrical Engineering, University of Osijek
Email được xác minh tại
Tiêu đề
Trích dẫn bởi
Trích dẫn bởi
Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models
S Zhu, S Heddam, EK Nyarko, M Hadzima-Nyarko, S Piccolroaz, S Wu
Environmental Science and Pollution Research 26, 402-420, 2019
Modelling daily water temperature from air temperature for the Missouri River
S Zhu, EK Nyarko, M Hadzima-Nyarko
PeerJ 6, e4894, 2018
Flood-routing modeling with neural network optimized by social-based algorithm
M Nikoo, F Ramezani, M Hadzima-Nyarko, EK Nyarko, M Nikoo
Natural hazards 82, 1-24, 2016
Modelling the influence of waste rubber on compressive strength of concrete by artificial neural networks
M Hadzima-Nyarko, EK Nyarko, N Ademović, I Miličević, T Kalman Šipoš
Materials 12 (4), 561, 2019
Solving the parameter identification problem of mathematical models using genetic algorithms
EK Nyarko, R Scitovski
Applied mathematics and Computation 153 (3), 651-658, 2004
A modification of the DIRECT method for Lipschitz global optimization for a symmetric function
R Grbić, EK Nyarko, R Scitovski
Journal of Global Optimization 57, 1193-1212, 2013
A neural network based modelling and sensitivity analysis of damage ratio coefficient
M Hadzima-Nyarko, EK Nyarko, D Morić
Expert systems with applications 38 (10), 13405-13413, 2011
A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces
EK Nyarko, I Vidović, K Radočaj, R Cupec
Expert systems with applications 114, 454-466, 2018
Machine learning approaches for estimation of compressive strength of concrete
M Hadzima-Nyarko, EK Nyarko, H Lu, S Zhu
The European Physical Journal Plus 135 (8), 682, 2020
Determining the natural frequency of cantilever beams using ANN and heuristic search
M Nikoo, M Hadzima-Nyarko, E Karlo Nyarko, M Nikoo
Applied Artificial Intelligence 32 (3), 309-334, 2018
Assessing the performance of a suite of machine learning models for daily river water temperature prediction
S Zhu, EK Nyarko, M Hadzima-Nyarko, S Heddam, S Wu
PeerJ 7, e7065, 2019
Modeling of compressive strength of self-compacting rubberized concrete using machine learning
M Kovačević, S Lozančić, EK Nyarko, M Hadzima-Nyarko
Materials 14 (15), 4346, 2021
Place recognition based on matching of planar surfaces and line segments
R Cupec, EK Nyarko, D Filko, A Kitanov, I Petrović
The International Journal of Robotics Research 34 (4-5), 674-704, 2015
Wound measurement by RGB-D camera
D Filko, R Cupec, EK Nyarko
Machine vision and applications 29, 633-654, 2018
Modelling daily water temperature from air temperature for the Missouri River. PeerJ 6: e4894
S Zhu, EK Nyarko, M Hadzima-Nyarko
Data preprocessing in data based process modeling
D Slišković, R Grbić, EK Nyarko
IFAC Proceedings Volumes 42 (19), 559-564, 2009
Detection, reconstruction and segmentation of chronic wounds using Kinect v2 sensor
D Filko, R Cupec, EK Nyarko
Procedia Computer Science 90, 151-156, 2016
Application of artificial intelligence methods for predicting the compressive strength of self-compacting concrete with class F fly ash
M Kovačević, S Lozančić, EK Nyarko, M Hadzima-Nyarko
Materials 15 (12), 4191, 2022
Fast 2.5 D Mesh Segmentation to Approximately Convex Surfaces.
R Cupec, EK Nyarko, D Filko
ECMR, 127-132, 2011
Optimization of public transport services to minimize passengers’ waiting times and maximize vehicles’ occupancy ratios
I Hartmann Tolić, EK Nyarko, A Ceder
Electronics 9 (2), 360, 2020
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