E. Nyarko

发表

Modeling daily water temperature for rivers: comparison between adaptive neuro-fuzzy inference systems and artificial neural networks models

Salim Heddam, Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, 2018, Environmental Science and Pollution Research.

Second‐order supercapacitor model and its parameter extraction

E. Nyarko, Hrvoje Glavaš, Tomislav Barić, 2020, International Journal of Numerical Modelling: Electronic Networks, Devices and Fields.

Video meteor detection filtering using soft computing methods

E. Nyarko, D. Vida, E. Silađi, 2015 .

Project IP-2014-09-3155 Advanced 3 D Perception for Mobile Robot Manipulators SURVEY OF STATE-OFTHE-ART POINT CLOUD SEGMENTATION METHODS Technical Report ARP 3 D . TR 1 version 1 . 0

E. Nyarko, R. Cupec, 2016 .

Application of Artificial Intelligence Methods for Predicting the Compressive Strength of Self-Compacting Concrete with Class F Fly Ash

E. Nyarko, M. Hadzima-Nyarko, Miljan Kovačević, 2022, Materials.

A modification of the DIRECT method for Lipschitz global optimization for a symmetric function

R. Scitovski, E. Nyarko, R. Grbić, 2012, Journal of Global Optimization.

Chua’s model of nonlinear coil in a ferroresonant circuit obtained using Dommel’s method and grey box modelling approach

E. Nyarko, K. Miličević, I. Biondic, 2016, Nonlinear Dynamics.

Flood-routing modeling with neural network optimized by social-based algorithm

Mehdi Nikoo, Fatemeh Ramezani, Marijana Hadzima-Nyarko, 2016, Natural Hazards.

Modeling of Compressive Strength of Self-Compacting Rubberized Concrete Using Machine Learning

E. Nyarko, M. Hadzima-Nyarko, Miljan Kovačević, 2021, Materials.

Modelling the Influence of Waste Rubber on Compressive Strength of Concrete by Artificial Neural Networks

Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Ivana Miličević, 2019, Materials.

Efficient postprocessing of edge maps for image segmentation based on greedy correction cost minimization

Dražen Slišković, Emmanuel Karlo Nyarko, Robert Cupec, 2012, J. Electronic Imaging.

A nearest neighbor approach for fruit recognition in RGB-D images based on detection of convex surfaces

Ivan Vidovic, Emmanuel Karlo Nyarko, Robert Cupec, 2018, Expert Syst. Appl..

Point Cloud Segmentation to Approximately Convex Surfaces for Fruit Recognition

Damir Filko, Emmanuel Karlo Nyarko, Robert Cupec, 2014 .

New Direction Based (Fundamental) Periods of RC Frames Using Genetic Algorithms

Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Dragan Morić, 2012 .

2D/3D Wound Segmentation and Measurement Based on a Robot-Driven Reconstruction System

E. Nyarko, D. Filko, 2023, Sensors.

Automatic Robot-Driven 3D Reconstruction System for Chronic Wounds

Damir Filko, Emmanuel Karlo Nyarko, Domagoj Marijanovic, 2021, Sensors.

Wound measurement by RGB-D camera

E. Nyarko, R. Cupec, D. Filko, 2018, Machine Vision and Applications.

Wound detection and reconstruction using RGB-D camera

Damir Filko, Emmanuel Karlo Nyarko, Robert Cupec, 2016, 2016 39th International Convention on Information and Communication Technology, Electronics and Microelectronics (MIPRO).

Detection, Reconstruction and Segmentation of Chronic Wounds Using Kinect v2 Sensor

Damir Filko, Emmanuel Karlo Nyarko, Robert Cupec, 2016, MIUA.

Machine learning approaches for estimation of compressive strength of concrete

Hongfang Lu, Senlin Zhu, E. Nyarko, 2020, The European Physical Journal Plus.

LeArEst: Length and Area Estimation from Data Measured with Additive Error

Kristian Sabo, Emmanuel Karlo Nyarko, Petar Taler, 2017, R J..

Modelling daily water temperature from air temperature for the Missouri River

Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Senlin Zhu, 2018, PeerJ.

A modification of the DIRECT method for Lipschitz global optimization for a symmetric function

Ratko Grbic, Rudolf Scitovski, Emmanuel Karlo Nyarko, 2012, Journal of Global Optimization.

Determining the Natural Frequency of Cantilever Beams Using ANN and Heuristic Search

Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, Mehdi Nikoo, 2018, Appl. Artif. Intell..

Determining the Optimal Location and Number of Voltage Dip Monitoring Devices Using the Binary Bat Algorithm

Emmanuel Karlo Nyarko, Zvonimir Klaić, Krešimir Fekete, 2021, Energies.

Assessing the performance of a suite of machine learning models for daily river water temperature prediction

Salim Heddam, Marijana Hadzima-Nyarko, Emmanuel Karlo Nyarko, 2019, PeerJ.

Solving the parameter identification problem of mathematical models using genetic algorithms

Rudolf Scitovski, Emmanuel Karlo Nyarko, R. Scitovski, 2004, Appl. Math. Comput..

Statistical estimation of the object’s area from the image contaminated with additive noise

Emmanuel Karlo Nyarko, Petar Taler, Mirta Benšić, 2020, 2020 15th Iberian Conference on Information Systems and Technologies (CISTI).