Petr Doležel
YOU?
Author Swipe
View article: Estimation of atmospheric visibility by deep learning model using multimodal dataset
Estimation of atmospheric visibility by deep learning model using multimodal dataset Open
View article: Efficient dataset extension using generative networks for assessing degree of coating degradation around scribe
Efficient dataset extension using generative networks for assessing degree of coating degradation around scribe Open
A novel methodology for dataset augmentation in the semantic segmentation of coil-coated surface degradation is presented in this study. Deep convolutional generative adversarial networks (DCGAN) are employed to generate synthetic input-ta…
View article: A novel approach for Tool-Narayanaswamy-Moynihan model parameter extraction using multi-scale neural model
A novel approach for Tool-Narayanaswamy-Moynihan model parameter extraction using multi-scale neural model Open
View article: Memory Efficient Deep Learning-Based Grasping Point Detection of Nontrivial Objects for Robotic Bin Picking
Memory Efficient Deep Learning-Based Grasping Point Detection of Nontrivial Objects for Robotic Bin Picking Open
Picking up non-trivial objects from a bin with a robotic arm is a common task of modern industrial processes. Here, an efficient data-driven method of grasping point detection, based on an attention squeeze parallel U-shaped neural network…
View article: How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin
How the Presence of Crystalline Phase Affects Structural Relaxation in Molecular Liquids: The Case of Amorphous Indomethacin Open
The influence of partial crystallinity on the structural relaxation behavior of low-molecular organic glasses is, contrary to, e.g., polymeric materials, a largely unexplored territory. In the present study, differential scanning calorimet…
View article: Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment
Genetic Algorithm-Based Task Assignment for Fleet of Unmanned Surface Vehicles in Dynamically Changing Environment Open
Unmanned vehicles are gaining the attention of professional operators and the general public. The implementation of unmanned vehicles is evident in, among other fields, emergency management, agriculture, traffic monitoring, post-disaster o…
View article: Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation Around Scribe
Automated Dataset Enhancement Using GAN for Assessment of Degree of Degradation Around Scribe Open
Coil coating is a method of applying an organic coating material to a rolled metal strip substrate in a continuous automated process. It is used to provide a high quality, durable finish to a variety of surfaces. The degradation resistance…
View article: Object detection for robotic grasping using a cascade of convolutional networks
Object detection for robotic grasping using a cascade of convolutional networks Open
Robot guidance in industry is a significant issue that needs to be dealt with in modern manufacturing facilities. One of the common tasks in this area is the pick and place problem. For proper implementation of an automatic pick and place …
View article: Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction
Multi-scale Neural Model for Tool-Narayanaswamy-Moynihan Model Parameter Extraction Open
View article: ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks
ECG Hearbeat Classification Based on Multi-scale Convolutional Neural Networks Open
View article: CSU-Net: Contour Semantic Segmentation Self-Enhancement for Human Head Detection
CSU-Net: Contour Semantic Segmentation Self-Enhancement for Human Head Detection Open
The computer vision community has made tremendous progress in solving a variety of semantic image understanding tasks, such as classification and segmentation. With the advancement of imaging technology and hardware, image semantic segment…
View article: Sequence of U-Shaped Convolutional Networks for Assessment of Degree of Delamination Around Scribe
Sequence of U-Shaped Convolutional Networks for Assessment of Degree of Delamination Around Scribe Open
The application of protective layers is the primary method of keeping metallic structures resistant to degradation. The measurement of the layer resistance to delamination is one of the important indicators of the protection quality. There…
View article: Centroid based person detection using pixelwise prediction of the position
Centroid based person detection using pixelwise prediction of the position Open
View article: Suitable ASP U-Net training algorithms for grasping point detection of nontrivial objects
Suitable ASP U-Net training algorithms for grasping point detection of nontrivial objects Open
Robotic manipulation with nontrivial or irregular objects, which provide various types of grasping points, is of both academic and industrial interest. Recently, a powerful data-driven ASP U-Net deep neural network has been proposed to det…
View article: Special Issue “Applications of Artificial Intelligence Systems”
Special Issue “Applications of Artificial Intelligence Systems” Open
Artificial Intelligence, a term that was seen as an obscure subject, only to be studied by mathematicians or computer scientists, without much real-life application, less than 20 years ago, has become a pervasive term in our everyday life …
View article: RGB images-driven recognition of grapevine varieties using a densely connected convolutional network
RGB images-driven recognition of grapevine varieties using a densely connected convolutional network Open
We present a pocket-size densely connected convolutional network (DenseNet) directed to classification of size-normalized colour images according to varieties of grapes captured in those images. We compare the DenseNet with three establish…
View article: Spectral Classification of Microplastics using Neural Networks: Pilot Feasibility Study
Spectral Classification of Microplastics using Neural Networks: Pilot Feasibility Study Open
Microplastics, i.e. synthetic polymers that have particle size smaller than 5 mm, are emerging pollutants that are widespread in the environment. In order to monitor environmental pollution by microplastics, it is necessary to have availab…
View article: Grasping Point Detection Using Monocular Camera Image Processing and Knowledge of Center of Gravity
Grasping Point Detection Using Monocular Camera Image Processing and Knowledge of Center of Gravity Open
View article: Diagnostics support of musculoskeletal diseases using artificial neural network
Diagnostics support of musculoskeletal diseases using artificial neural network Open
A vestibular schwannoma is a benign tumor, developing in the inner ear. As it grows, it may affect patient's hearing and body balance. If not treated, it can also lead to death of the patient. Once it becomes a problem, it is surgical…
View article: New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection
New End-to-End Strategy Based on DeepLabv3+ Semantic Segmentation for Human Head Detection Open
In the field of computer vision, object detection consists of automatically finding objects in images by giving their positions. The most common fields of application are safety systems (pedestrian detection, identification of behavior) an…
View article: Multiple Objects Localization Using Image Segmentation with U-Net
Multiple Objects Localization Using Image Segmentation with U-Net Open
Precise object localization in an industrial environment is a significant task affecting follow-up processes for a pick and place application. One of the solutions to effectively ensure the success of this task is to use modern methods of …
View article: Efficient 2D Detection and Positioning of Complex Objects for Robotic Manipulation Using Fully Convolutional Neural Network
Efficient 2D Detection and Positioning of Complex Objects for Robotic Manipulation Using Fully Convolutional Neural Network Open
Programming industrial robots in a real-life environment is a significant task necessary to be dealt with in modern facilities.The "pick up and place" task is undeniably one of the regular robot programming problems which needs to be solve…
View article: Optimization of a Depiction Procedure for an Artificial Intelligence-Based Network Protection System Using a Genetic Algorithm
Optimization of a Depiction Procedure for an Artificial Intelligence-Based Network Protection System Using a Genetic Algorithm Open
The current demand for remote work, remote teaching and video conferencing has brought a surge not only in network traffic, but unfortunately, in the number of attacks as well. Having reliable, safe and secure functionality of various netw…
View article: Memory Efficient Grasping Point Detection of Nontrivial Objects
Memory Efficient Grasping Point Detection of Nontrivial Objects Open
Robotic manipulation with a nontrivial object providing various types of grasping points is of an industrial interest. Here, an efficient method of simultaneous detection of the grasping points is proposed. Specifically, two different 3 de…
View article: Person Detection for an Orthogonally Placed Monocular Camera
Person Detection for an Orthogonally Placed Monocular Camera Open
Counting of passengers entering and exiting means of transport is one of the basic functionalities of passenger flow monitoring systems. Exact numbers of passengers are important in areas such as public transport surveillance, passenger fl…
View article: DEVELOPMENT OF IMAGE PROCESING SYSTEM FOR PERSON DETECTION
DEVELOPMENT OF IMAGE PROCESING SYSTEM FOR PERSON DETECTION Open
With the rise of modern technology in computer science and engineering, as well as with the growing population in big cities around the world, many new approaches for person detection have become a very interesting and demanding topic. Per…
View article: Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network
Development of Driver-Behavior Model Based onWOA-RBM Deep Learning Network Open
Human drivers’ behavior, which is very difficult to model, is a very complicated stochastic system. To characterize a high-accuracy driver behavior model under different roadway geometries, the paper proposes a new algorithm of driver beha…
View article: Comparison of ReLU and linear saturated activation functions in neural network for universal approximation
Comparison of ReLU and linear saturated activation functions in neural network for universal approximation Open
Activation functions used in hidden layers directly affect the possibilities for describing nonlinear systems using a feedforward neural network. Furthermore, linear based activation functions are less computationally demanding than their …
View article: Bin Picking Success Rate Depending on Sensor Sensitivity
Bin Picking Success Rate Depending on Sensor Sensitivity Open
The goal of this contribution is to determine correlation between an applied sensor for object registration and the success rate of the bin-picking problem. In most applications of a bin picking problem in industry, the procedure consists …
View article: Convolutional Neural Network for Sound Processing - Study of Deployed Application
Convolutional Neural Network for Sound Processing - Study of Deployed Application Open
Pest birds are considered as a special kind of vermin, since, in most of countries, their legal position does not enable their direct extermination. Therefore, in order to protect the agricultural areas indirectly from pest birds, the robu…