MENDEL is an open access international journal dedicated for rapid publication of high-quality, peer-reviewed research articles in fields covered by Evolutionary Computation, Genetic Programming, Swarm Intelligence, Neural Networks, Deep Learning, Fuzzy Logic, Big Data, Chaos, Bayesian Methods, Optimization, Intelligent Image Processing, and Bio-inspired Robotics.

The journal is fully open access, meaning that all articles are available on the internet to all users immediately upon publication (Gold Open Access). The journal is published by the Institute of Automation and Computer Science of the Brno University of Technology.

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Editor in chief: doc. Ing. Radomil Matoušek, PhD.
ISSN: 1803-3814 (print)
ISSN: 2571-3701 (online)
Homepage: https://mendel-journal.org/

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Recent Submissions

  • Meta-Heuristics Based Inverse Kinematics of Robot Manipulator’s Path Tracking Capability Under Joint Limits 

    Kanagaraj, Ganesan; Sheik Masthan, SAR; Yu, Vincent F (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    In robot-assisted manufacturing or assembly, following a predefined path became a critical aspect. In general, inverse kinematics offers the solution to control the movement of manipulator while following the trajectory. ...
  • Color-Aware Two-Branch DCNN for Efficient Plant Disease Classification 

    Schwarz Schuler, Joao Paulo; Romani, Santiago; Abdel-Nasser, Mohamed; Rashwan, Hatem; Puig, Domenec (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    Deep convolutional neural networks (DCNNs) have been successfully applied to plant disease detection. Unlike most existing studies, we propose feeding a DCNN CIE Lab instead of RGB color coordinates. We modified an Inception ...
  • Intelligent Sampling of Anterior Human Nasal Swabs using a Collaborative Robotic Arm 

    Parak, Roman; Juricek, Martin (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    Advanced robotics does not always have to be associated with Industry 4.0, but can also be applied, for example, in the Smart Hospital concept. Developments in this field have been driven by the coronavirus disease (COVID-19), ...
  • Improving Initial Aerofoil Geometry Using Aerofoil Particle Swarm Optimisation 

    Muller, Jan (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    Advanced optimisation of the aerofoil wing of a general aircraft is the main subject of this paper. Meta-heuristic optimisation techniques, especially swarm algorithms, were used. Subsequently, a new variant denoted as ...
  • Identifying Optimal Baseline Variant of Unsupervised Term Weighting in Question Classification Based on Bloom Taxonomy 

    Sangodiah, Anbuselvan; Jee San, Tham; Tien Fui, Yong; Ean Heng, Lim; Ayyasamy, Ramesh Kumar; A Jalil, Norazira (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    Examination is one of the common ways to evaluate the students’ cognitive levels in higher education institutions. Exam questions are labeled manually by educators in accordance with Bloom’s taxonomy cognitive domain. To ...
  • Grouped Pointwise Convolutions Reduce Parameters in Convolutional Neural Networks 

    Schwarz Schuler, Joao Paulo; Romani, Santiago; Abdel-Nasser, Mohamed; Rashwan, Hatem; Puig, Domenec (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    In DCNNs, the number of parameters in pointwise convolutions rapidly grows due to the multiplication of the number of filters by the number of input channels that come from the previous layer. Our proposal makes pointwise ...
  • The Use of an Incremental Learning Algorithm for Diagnosing COVID-19 from Chest X-ray Images 

    Amami, Rimah; Saif, Suleiman Ali Al; Amami, Rim; Eleraky, Hassan Ahmed; Melouli, Fatma; Baazaoui, Mariem (Institute of Automation and Computer Science, Brno University of Technology, 2022-06-30)
    The new Coronavirus or simply Covid-19 causes an acute deadly disease. It has spread rapidly across the world, which has caused serious consequences for health professionals and researchers. This is due to many reasons ...
  • CCGraMi: An Effective Method for Mining Frequent Subgraphs in a Single Large Graph 

    Nguyen, Lam B. Q.; Zelinka, Ivan; Diep, Quoc Bao (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    In modern applications, large graphs are usually applied in the simulation and analysis of large complex systems such as social networks, computer networks, maps, traffic networks. Therefore, graph mining is also an ...
  • A Systematic Review and Analysis on Deep Learning Techniques Used in Diagnosis of Various Categories of Lung Diseases 

    Jasthy, Sreedevi; Vangipuram, Radhakrishna; Dutta, Sushama Rani (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    One of the record killers in the world is lung disease. Lung disease denotes to many disorders affecting the lungs. These diseases can be identified through Chest X- Ray, Computed Tomography CT, Ultrasound tests. This study ...
  • Relation of Neighborhood Size and Diversity Loss Rate in Particle Swarm Optimization With Ring Topology 

    Pluháček, Michal; Kazikova, Anezka; Kadavy, Tomas; Viktorin, Adam; Senkerik, Roman (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Measuring the population diversity in metaheuristics has become a common practice for adaptive approaches, aiming mainly to address the issue of premature convergence. Understanding the processes leading to a diversity ...
  • Robotic Automation of Software Testing From a Machine Learning Viewpoint 

    Yadav, Vinod; Botchway, Raphael Kwaku; Senkerik, Roman; Kominkova Oplatkova, Zuzana (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The need to scale software test automation while managing the test automation process within a reasonable time frame remains a crucial challenge for software development teams (DevOps). Unlike hardware, the software cannot ...
  • A Streamlined Attention Mechanism for Image Classification and Fine-Grained Visual Recognition 

    Himabindu, Dakshayani D; Kumar, Praveen S (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    In the recent advancements attention mechanism in deep learning had played a vital role in proving better results in tasks under computer vision. There exists multiple kinds of works under attention mechanism which includes ...
  • Computer Estimation of JRC Index Using Function Moments 

    Martisek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The paper deals with a shape of geological discontinuities. This shape significantly affects the stability of rock massifs. The joint roughness coefficient (JRC) is one of the main shape indicators but the methods of its ...
  • Hybrid Deep Learning Model for Singing Voice Separation 

    Amer, Rusul; Al Tmeme, Ahmed (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Monaural source separation is a challenging issue due to the fact that there is only a single channel available; however, there is an unlimited range of possible solutions. In this paper, a monaural source separation model ...
  • Improving Breast Cancer Classification using (SMOTE) Technique and Pectoral Muscle Removal in Mammographic Images 

    Abdulla, Srwa Hasan; Sagheer, Ali Makki; Veisi, Hadi (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Computer-aided diagnosis methods are being developed to assist radiologists to improve the interpretation of mammograms for the detection and diagnose of breast cancer, reduce the errors and mistakes made by human beings. ...
  • Significant Curves of the Mandelbrot Set 

    Martisek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The paper provides a description of some interesant curves contained in the Mandelbrot set. These curves are the boundaries of the areas called „bulbs“ which are described approximately only in present. In this paper, some ...
  • Hybrid Formation Control for Multi-Robot Hunters Based on Multi-Agent Deep Deterministic Policy Gradient 

    Hamed, Oussama; Hamlich, Mohamed (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    The cooperation between mobile robots is one of the most important topics of interest to researchers, especially in the many areas in which it can be applied. Hunting a moving target with random behavior is an application ...
  • Advances in Evolutionary Optimization of Quantum Operators 

    Žufan, Petr; Bidlo, Michal (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    A comparative study is presented regarding the evolutionary design of quantum operators in the form of unitary matrices.A comparative study is presented regarding the evolutionary design of quantum operators in the form ...
  • Neuro-Evolution of Continuous-Time Dynamic Process Controllers 

    Sekaj, Ivan; Kénický, Ivan; Zúbek, Filip (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    Artificial neural networks are means which are, among several other approaches, effectively usable for modelling and control of non-linear dynamic systems. In case of modelling systems input and output signals are a-priori ...
  • Deep Learning and the Game of Checkers 

    Popic, Jan; Boskovic, Borko; Brest, Janez (Institute of Automation and Computer Science, Brno University of Technology, 2021-12-21)
    In this paper we present an approach which given only a set of rules is able to learn to play the game of Checkers. We utilize neural networks and reinforced learning combined with Monte Carlo Tree Search and alpha-beta ...

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