• Evaluate Database Management System Quality By Analytic Hierarchy Process (AHP) and Simple Additive Weighting (SAW) Methodolog 

  Al Nawaiseh, Asmaa Jameel; Albtoush, Audi; Al-Msiedeen, Ra´fat; Al Nawaiseh, Sabah Jamil (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Any organization that intends to use component-based software development, like outsourcing software, must first evaluate existing components against system requirements to find the best fit among many alternatives. As a ...

• The Use of the Multi-Scale Discrete Wavelet Transform and Deep Neural Networks on ECGs for the Diagnosis of 8 Cardio-Vascular Diseases 

  Soumiaa, Mhamed-Amine; Elhabbari, Sara; Mansouri, Mohamed (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Cardiovascular diseases (CVD) continues to be the leading cause of death worldwide, with over 17 million deaths each year. In 2015, approximately 422 million people suffered from cardiovascular disease (CVD). Reading and ...

• An Approximate Optimization Method for Solving Stiff Ordinary Differential Equations With Combinational Mutation Strategy of Differential Evolution Algorithm 

  Febrianti, Werry; Sidarto, Kuntjoro Adji; Sumarti, Novriana (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  This paper examines the implementation of simple combination mutation of differential evolution algorithm for solving stiff ordinary differential equations. We use the weighted residual method with a series expansion to ...

• USTW Vs. STW: A Comparative Analysis for Exam Question Classification based on Bloom’s Taxonomy 

  Gani, Mohammed Osman; Ayyasamy, Ramesh Kumar; Sangodiah, Anbuselvan; Fui, Yong Tien (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Bloom’s Taxonomy (BT) is widely used in educational institutions to produce high-quality exam papers to evaluate students’ knowledge at different cognitive levels. However, manual question labeling takes a long time, and ...

• Explanation and Speedup Comparison of Advanced Path-planning Algorithms Presented on Two-dimensional Grid 

  Soustek, Petr; Matousek, Radomil; Dvorak, Jiri; Manakova, Lenka (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Path planning or network route planning problems are an important issue in AI, robotics, or computer games. Appropriate implementation and knowledge of advanced and classical path-planning algorithms can be important for ...

• Mathematical Incorrectness of So-Called Higuchi‘s Fractal Dimension 

  Martišek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  The so-called Higuchi’s method of fractal dimension estimation is widely used and the term Higuchi’s fractal dimension even occurs in many publications. This paper deals with this method from a mathematical point of view. ...

• Computational Search of Long Skew-symmetric Binary Sequences with High Merit Factors 

  Brest, Janez; Bošković, Borko (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  In this paper, we present a computational search for best-known merit factors of longer binary sequences with an odd length. Finding low autocorrelation binary sequences with optimal or suboptimal merit factors is a very ...

• Efficiency of Smart AI-Based Voice Apps and Virtual Services Operating With Chatbots 

  Said, Nidal Al; Gura, Dmitry; Karlov, Dmitry (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  The development of computer and information technologies contributed to technological advancement in artificial intelligence (AI) by introducing "smart" apps in modern smartphones and gadgets. The need to apply AI in smart ...

• A Novel Light-Weight DCNN Model for Classifying Plant Diseases on Internet of Things Edge Devices 

  Minh, Hoang Trong; Anh, Tuan Pham; Nhan, Van Nguyen (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  One of the essential aspects of smart farming and precision agriculture is quickly and accurately identifying diseases. Utilizing plant imaging and recently developed machine learning algorithms, the timely detection ...

• A Simulation of Optimal Model on Fractional Aircraft Ownership (FAO) Management 

  Sumarti, Novriana; Brahmandita, Ida B.P.; Aqsha, Muhammad A. (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Compared to owning a private jet, Fractional Aircraft Ownership (FAO) concept is a cheaper alternative for very mobile business persons who want to travel in comfort. The aircraft is owned by a number of customers ...

• Mathematical Methods for 3D Reconstruction of Cell Structures 

  Martišek, Dalibor (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  The study of the complicated architecture of cell space structures is an important problem in biology and medical research. Optical cuts of cells produced by confocal microscopes contain a lot of information, however, most ...

• Approximate Solution for Barrier Option Pricing Using Adaptive Differential Evolution With Learning Parameter 

  Febrianti, Werry; Sidarto, Kuntjoro Adji; Sumarti, Novriana (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Black-Scholes (BS) equations, which are in the form of stochastic partial differential equations, are fundamental equations in mathematical finance, especially in option pricing. Even though there exists an analytical ...

• Segmentation of Chest X-Ray Images Using U-Net Model 

  Kamil, Mohammed Y.; Hashem, Sahar A. (Institute of Automation and Computer Science, Brno University of Technology, 2022-12-20)

  Medical imaging, such as chest X-rays, gives an acceptable image of lung functions.  Manipulating these images by a radiologist is difficult, thus delaying the diagnosis. Coronavirus is a disease that affects the lung ...

• 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 ...

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