Dawid Połap

Silesian University of Technology · Faculty of Applied Mathematics

Virtual reality (VR) is gaining popularity very fast due to newer solutions that increase user perception. Glasses, sensors, and treadmills are the basic functionality for immersing yourself in a virtual environment. In this paper, we propose a human-AI collaboration for analyzing the newly generated images that can be used for creating worlds. The...

Federated learning is becoming a practical solution for machine learning (ML) in industry. This is due to the possibility of implementing artificial intelligence (AI) systems and training its models on private data sets. However, this is not an ideal solution as it is possible to manipulate or even intercept the model during its transmission betwee...

The third type of neural network called spiking is developed due to a more accurate representation of neuronal activity in living organisms. Spiking neural networks have many different parameters that can be difficult to adjust manually to the current classification problem. The analysis and selection of coefficients’ values in the network can be a...

Medical image segmentation identifies an area that should be analyzed later in the processing process, such as for disease recognition and classification. As the image search area is reduced, this action allows for faster computation and analysis. We propose the use of a heuristic red fox heuristic optimization algorithm (RFOA) for medical image se...

DDoS is one of the most common attacks on theweb today. Hence, a quick detection system can enable automatic blocking or notification of an attack. In this paper, we propose a framework called AIMM (Artificial Intelligence Merged Methods). Our solution is based on three modules: preprocessing data incoming to the server, classification, and decisio...

Link: https://www.mdpi.com/topics/ML_iot

The Internet of things (IoT), made up of a massive number of sensor devices interconnected, can be used for data exchange, intelligent identification, and management of interconnected "things." IoT devices are proliferating and playing a crucial role in improving the living quality and living standard of the people. However, the real IoT is more vu...

In order to improve the training accuracy of sports teaching and training, and promote the scientific and standardized sports teaching and training, a correcting assistant system based on. NET platform is designed. Based on the Microsoft. NET platform, a three-tier architecture is constructed. Among them, the data access layer uses the functions of...

Nowadays, traffic congestion has become a serious problem that plagues the development of many cities aroundthe world and the travel and life of urban residents. Compared with the costly and long implementation cyclemeasures such as the promotion of public transportation construction, vehicle restriction, road reconstruction, etc., traffic predicti...

Aiming at the problems of poor evaluation effect in the teaching effect evaluation of engineering management specialty, this paper designs a new evaluation method of teaching effect of information technology Fusion Engineering Management Specialty Based on data clustering. The evaluation index system of teaching effect of information technology int...

Side-scan sonar generates an image based on the reflection of sound waves. The reflection takes place with the first encountered object, which, in practice, may be a passing fish or even a wave from the boat turbine. Therefore, such data are sensitive to all noises. In this article, we propose a real-time automatic system of side-scan sonar analysi...

Large-scale group decision-making (LSGDM) is one of the main open problems where a decision is made by many different results. Moreover, there is also a problem with how to make the decision when there is no all information. This uncertainty can be very problematic for many different solutions in artificial intelligence. In this paper, we propose t...

Modifying the existing models of classifiers’ operation is primarily aimed at increasing the effectiveness as well as minimizing the training time. An additional advantage is the ability to quickly implement a given solution to the real needs of the market. In this paper, we propose a method that can implement various classifiers using the federate...

In general data mining, HUIM also known as high-utility itemset mining is an offshoot of frequent item set mining (FIM). HUIM is known to give more emphasis to many factors which can give HUIM a distinct edge over FIM. PHIUM, or Potential high-utility item set mining has been created to give intrinsic patterns in databases that tend to be uncertain...

The use of intelligent solutions often comes down to the use of already trained classifiers, which is caused by one of their biggest drawbacks. It is the accuracy or effectiveness of artificial intelligence methods, which are algorithms called data-hungry. It means that it depends on the number of samples in the database, and the quality of the cla...

In this paper, we presented a novel model that combines Convolution Neural Network (CNN) and Long Short-term Memory Neural Network (LSTM) for better and accurate stock price prediction. We then developed a model called stock sequence array convolutional LSTM (SACLSTM) that builds both a sequence array of the historical data and leading indicators (...

Image reconstruction is a mathematical process, where the image is compressed into a small representation and derived from this form. The general use of the reconstruction technique finds a place in noise removal from images obtained in medicine or other areas of life. In this paper, we propose a heuristic validation mechanism for training differen...

The new form of artificial intelligence training, i.e. federated learning, is becoming more popular in the last few years. It is an optimization problem that includes additional mechanisms such as aggregation and data transmission. In this paper, we propose a hybridization of this type of training with a meta-heuristic. The meta-heuristic algorithm...

With the development of artificial intelligence, the position of intelligent car in social life has become particularly important. The autonomous path of the smart car is divided into long distance and short distance. In order to improve the autonomous path planning ability of the smart car, we use WIFI to control the mobile end of the smart car, c...

Digital security in modern systems very often uses biometric, and increasingly new implementations appear. Such applications can be found everywhere, even when picking up the package from courier, we certify its receipt through our signature on tablet. However, verification of this form is not one of the simplest elements in information processing...

Multi-agent systems enable the division of complicated tasks into individual objects that can cooperate. Such architecture can be useful in building solutions in the Internet of Medical Things (IoMT). In this paper, we propose an architecture of such a system that ensures the security of private data, as well as allows the addition and/or modificat...

Riverside monitoring systems are used for controlling the passage of ships, counting them to prevent overcrowding in a port, or raising an alarm if the ship is unknown or not safe. This type of control and analysis is commonly carried out by many people who supervise CCTV in real time. In this paper, we present an alternative approach to automatic...

Fox is very popular in various regions of the Globe, where representatives of this kind can be found in Europe, Asia, North America, and even in some arctic regions. The way this predator lives and hunts is very peculiar. It is active all year round, traversing the lands in hunting both for different domestic and wild animals. In his strategy fox i...

Since the epidemic outbreak in early months of 2020 the spread of COVID-19 has grown rapidly in most countries and regions across the World. Because of that, SARS-CoV-2 was declared as a Public Health Emergency of International Concern (PHEIC) on January 30, 2020, by The World Health Organization (WHO). That's why many scientists are working on new...

Many types of biomaterial analysis require numerous repetition of the same operations. We suggest applying the principles of Total Laboratory Automation (TLA) for analysis of dental tissues in in-vitro conditions. We propose an innovative robotic platform with ABB high precision industrial robotic arm. We programmed the robot to achieve 3000 cycles...

The analysis of microscopy images allows for making the description of given samples containing different microscopic organisms. It is important due to the life phase analysis of these organisms. In this paper, an adaptive technique composed of a genetic algorithm (GA) and a cascade of the convolutional classifiers for image analysis is proposed. A...

The significant development of classifiers has made object detection and classification by using neural networks more effective and more straightforward. Unfortunately, there are images where these operations are still difficult due to the overlap of objects or very blurred contours. An example is images obtained from various microscopes, where bac...

Neural networks (NNs) have recently achieved significant performance gains for time series forecasting. However, they require large amounts of data to train. Data augmentation techniques have been suggested to improve the network training performance. Here, we adopt Empirical Mode Decomposition (EMD) as a data augmentation technique. The intrinsic...

The technological advancements in recent years has enabled the creation of the Internet of Medical Things, i.e. solutions where medical devices can communicate with each other and exchange data. The guiding idea is to model solutions that can reduce the amount of expected time for analysis of examination results, quick response in the case of disea...

Recent developments in technology need the methods to become more efficient in various conditions. We can see this situation is much visible in multimedia and verification, where biometrics are used to recognize somebody from images, both as detections of suspicious behaviors and user verification. The paper presents proposed technique for face ver...

Introduction: There are several methods of reducing a microleakage, and one of them is choosing appropriate adhesive material. The aim of the work was the in vitro analysis of 4 bonds: 3M ESPE "Single bond", Dentsply "Prime and Bond Active", Coltene "One Coat 7 Universal", and Kuraray "Clearfil Universal Bond Quick". Material and methods: 136 healt...

Mixed reality environments give better chances to provide constant help to the people in need. Applied there artificial intelligence models will provide ad hoc monitoring measures, which may be the best chance to protect life in dangerous conditions. In this article, we present our research on mixed reality system developed to detect symptoms of...

An important area of computer vision is real-time object tracking, which is now widely used in intelligent transportation and smart industry technologies. Although the correlation filter object tracking methods have a good real-time tracking effect, it still faces many challenges such as scale variation, occlusion, and boundary effects. Many schola...

There are situations when someone finds a certain object or its remains. Particularly the second case is complicated, because having only a part of the element, it is difficult to identify the full object. In the case of archeological excavations, the fragment should be classified in order to know what we are looking at. Unfortunately, such classif...

The existing methods for monitoring vessels are mainly based on radar and automatic identification systems. Additional sensors that are used include video cameras. Such systems feature cameras that capture images and software that analyzes the selected video frames. Methods for the classification of non-conventional vessels are not widely known. Th...

Virtual reality is becoming more and more improved primarily due to numerous applications and the powers of mobile devices. Using various sensors, precise displays and high computing powers smarthphone are becoming devices that make the boost in technology. Now it is necessary to efficiently use various sensors without affecting system operation an...

Internal organs, like lungs, are very often examined by the use of screening methods. For this purpose we present an evaluation model based on a composition of fuzzy system combined with a neural network. The input image is evaluated by means of custom rules which use type-1 fuzzy membership functions. The results are forwarded to a neural network...

Many techniques have been developed for computer vision in the past years. Features extraction and matching are the basis of many high-level applications. In this paper, we propose a multi-level features extraction for discontinuous target tracking in remote sensing image monitoring. The features of the reference image are pre-extracted at differen...

Artificial Intelligence methods applied in smart home environments can give a ubiquitous support of people, provide automatic control of system settings to lower costs of operation, improve energetic efficiency and longer endurance of components. In this article we discuss the use of neural networks and rule based systems as components of automatic...

Melanoma is one of the more frequently encountered cancers, which quite often depends on exposure to ultraviolet radiation occurring in solar radiation. Of course, an additional factor is individual immunity and genetics. It is important to discover the possible spread of the cancer, which in this case depends on the observation of the skin, and ab...

The prevalent methods for monitoring ships are based on automatic identification and radar systems. This applies mainly to large vessels. Additional sensors that are used include video cameras with different resolutions. Such systems feature cameras that capture images and software that analyze the selected video frames. The analysis involves the d...

We analyse the environment scene classification methods based on the Bag of Words (BoW) model. The BoW model encodes images by a bag of visual features, which is a sparse histogram over a dictionary of visual features extracted from an image. We analyse five feature detectors (Scale Invasive Feature Transform (SIFT), Speed-Up Robust Features (SURF)...

Extensive use of computer and mobile devices places large burden on our eyes. To tackle the symptoms of digital eye strain and improve eyesight, the use of eye exercises are suggested. However, few people do eye exercising as it is considered boring. In this paper we apply a serious game approach to eye exercising. We developed a PacMan style game...

Solvers of nonlinear systems of equations are important in software engineering. There are various methods which use gradient approach to find the solution in accordance to gradient descent. This paper presents software testing for proposed implementation of rapid gradient descent method. Results show that implementation is able to solve problems b...

Decision support systems become a very important part of our lives. Technologies make them applicable almost everywhere. These systems can simplify solutions to the numerous problems, speed up analysis of the results of medical research and contribute to the rapid classification of input patterns. Practical applications may not only contribute to e...

Rapid development and conducted experiments in the field of the introduction the fifth generation of the mobile network standard allow for the flourishing of the Internet of Things. This is one of the most important reasons to design and test systems that can be implemented to increase the quality of our lives. In this paper, we propose a system mo...

Improving CT images by increasing the number of scans, hence increasing the ionizing radiation dose, can increase the probability of inducing cancer in the patient. Using fewer images but improving them by accurate reconstruction is better solution. In this paper, an adaptive variational Partial Differential Equation (PDE) model is proposed for ima...

Background and objective: The X-ray screening is one of the most popular methodologies in detection of respiratory system diseases. Chest organs are screened on the film or digital file which go to the doctor for evaluation. However, the analysis of x-ray images requires much experience and time. Clinical decision support is very important for medi...

Background and objective: New technology enables constant boost to the powers of mobile devices, which in the previous years have transformed from simple mobile phones to smart phones. Computational powers of these electronics enable actions that previously were possible only for computers. By the use of special applications, we may benefit from s...

Medical research is not only expensive but also time-consuming, what can be seen in the queues, and then after the waiting time for the analysis of the effects obtained from tests. In the case of computed tomography examinations, the end result is a series of the described images of the examined object’s shape. The description is made on the carefu...

Various computer methods are sourced in parallel programming. Advances in methods and techniques with their appropriate usage are beneficial for multimedia applications. Parallelization can significantly decrease the time of calculations. In this article, we analyze how the speed of calculations is influenced by the usage of parallel algorithms in...

Intelligent homes are one of the most expanded technologies included in the definition of Internet of Things. These technology allow us to exercise control over our own apartment/house. As a control, we can understand energy consumption, monitoring, healthy eating as well health care. One of the elements of such a system are interface and interacti...

We describe the gamification of a soft physics simulator. We developed a game, called Jelly Dude, that allows the player to change and modify the game engine by tinkering with various physics parameters, creating custom game levels and installing scripts. The game engine is capable of simulating soft-body physics and can display the simulation resu...

The development in multicore architectures gives a new line of processors that can flexibly distribute tasks between their logical cores. These need flexible models of efficient algorithms, both fast and stable. A new line of efficient sorting algorithms can support these systems to efficiently use all available resources. Processes and calculation...

Rapid detection of potential threads can speed up medical examination and help to start the treatment without delays. Automatic analysis of x-ray screening is a complex, multi-step process that can be beneficial for more efficient examinations in pulmonary clinics. Traditional methods use image segmentation to cut out interesting areas for further...

Energy efficiency of industrial systems is one of key features for optimal use of resources and the lowest costs of energy for users. In the recent time optimization of heating plants and heat distribution systems becomes an important venue for novel methods and innovative constructions. Various proposals can be seen for more efficient performance...

The analysis of 2D images consists of two processes: detection and recognition of detected objects. Both stages allow for numerous applications in practical purposes, including detection of small objects and people with their appearance. The methods we can implement for these can benefit from fusion of approaches. In this article, we propose detect...

A large part of the technology development depends on the needs of users. Apart from the hardware requirements for programs used by large companies or smaller groups, the wide applications and hardware load are games and graphics. Increasing the quality of games by improving their story quality requires a lot of more efficient and effective algorit...

The practical increase of interest in intelligent technologies has caused a rapid development of all activities in terms of sensors and automatic mechanisms for smart operations. The implementations concentrate on technologies which avoid unnecessary actions on user side while examining health conditions. One of important aspects is the constant in...

Nowadays automatic interaction systems are developed and new possibilities for communication appeared. Digitalization of various information becomes a common pattern, and with the development in technology simple sentences or commands can be processed directly in the machine systems. Automatic chat-bots, question-answer systems and various computer...