A5065910070- Neural Networks and Applications
- Neural dynamics and brain function
- Advanced Memory and Neural Computing
- Inertial Sensor and Navigation
- stochastic dynamics and bifurcation
- Target Tracking and Data Fusion in Sensor Networks
- Geographic Information Systems Studies
- Sensor Technology and Measurement Systems
- Indoor and Outdoor Localization Technologies
- Human Pose and Action Recognition
- Advanced Image and Video Retrieval Techniques
- Synthesis and biological activity
- Advanced Chemical Sensor Technologies
- Analytical Chemistry and Sensors
- Advanced Graph Neural Networks
- Computational Drug Discovery Methods
- Video Analysis and Summarization
- Fault Detection and Control Systems
- Network Time Synchronization Technologies
- Advanced Electrical Measurement Techniques
- Phenothiazines and Benzothiazines Synthesis and Activities
- Advanced Control Systems Design
- Magnetic Field Sensors Techniques
- Lubricants and Their Additives
- Advanced Research in Systems and Signal Processing
Poznań University of Technology
2013-2024
University of Silesia in Katowice
2010-2023
Spatial development plans are the basic tool for shaping spatial policy and have an impact on implementation of concept sustainable development. Monitoring can be difficult where no standard exists that allows obtaining comprehensive information arrangements plans, including future land The purpose research is to integrate by analyzing classifying their textual content. We use machine learning methods processing text classification. result a model, classifies texts findings individual areas...
The sulfur-containing derivatives and their metabolites, regarded as ‘old devils of green’ chemistry, constitute a relevant class air/water/soil contaminants in over-polluted world. In fact, some industrially-engineered solvents have become environmentally unfavorable. An attractive alternative to commonly used industrial liquids is sulfolane (C4H8SO2), an anthropogenic medium. main objective this paper the comprehensive review focusing mainly on state-of-the-art aspects synthesis,...
The article explores the importance of cybersecurity in Industry 4.0, specifically focusing on safeguarding industrial automation systems from cyberattacks. It discusses essential security measures, network monitoring, and employee training, emphasizing significance risk management for ensuring industry stability. Adherence to standards, such as ISA/IEC 62443, is crucial (ISA—International Society Automation, IEC—International Electrotechnical Commission). outlines cyberthreat challenges...
Classification is one of the most-common machine learning tasks. In field GIS, deep-neural-network-based classification algorithms are mainly used in remote sensing, for example image classification. case spatial data form polygons or lines, representation a graph enables use neural networks (GNNs) to classify objects, taking into account their topology. this article, method multi-class objects using GNNs proposed. The was compared two others that based solely on text and an adjacency...
A series of new benzene-based derivatives was designed, synthesized and comprehensively characterized. All the tested compounds were evaluated for their in vitro ability to potentially inhibit acetyl- butyrylcholinesterase enzymes. The selectivity index individual molecules cholinesterases also determined. Generally, inhibitory potency stronger against butyryl- compared acetylcholinesterase; however, some showed a promising inhibition both In fact, two (23, benzyl...
The fascinating tribological phenomenon of carbon nanotubes (CNTs) observed at the nanoscale was confirmed in our numerous macroscale experiments. We designed and employed CNT-containing nanolubricants strictly for polymer lubrication. In this paper, we present experiment characterising how CNT structure determines its lubricity on various types polymers. There is a complex correlation between microscopic spectral properties CNTs parameters resulting lubricants. This confirms indirectly that...
A series of nineteen novel ring-substituted N-arylcinnamanilides was synthesized and characterized. All investigated compounds were tested against Staphylococcus aureus as the reference strain, two clinical isolates methicillin-resistant S. (MRSA), Mycobacterium tuberculosis. (2E)-N-[3-Fluoro-4-(trifluoromethyl)phenyl]-3-phenylprop-2-enamide showed even better activity (minimum inhibitory concentration (MIC) 25.9 12.9 µM) MRSA than commonly used ampicillin (MIC 45.8 µM). The screening cell...
Human-robot interaction (HRI) has become a promising field that focuses on developing intelligent systems are capable of understanding human language. Natural Language Processing (NLP) plays huge role in enabling robots to interpret and generate natural language, making it easier effectively communicate. However, traditional NLP approaches sometimes struggle capture the right structural dependencies contextual information.To overcome these limitations, Graph Neural Networks (GNNs) have...
The purpose of this work is to speed up simulations neural tissues based on the stochastic version Hodgkin–Huxley model. Authors achieve that by introducing system providing random values with desired distribution in simulation process. System consists two parts. first one a high entropy fast parallel number generator consisting hardware true and graphics processing unit implementation pseudorandom generation algorithm. second part Gaussian approximation algorithm set generators uniform...
Solvents are widely used in organic synthesis. Sulfolane is a five-membered heterocyclic organosulfur sulfone (R-SO2-R’, where R/R’ alkyl, alkenyl, or aryl) and an anthropogenic medium commonly as industrial extractive solvent the liquid-liquid liquid-vapor extraction processes. Under standard conditions sulfolane not aggressive towards steel, but at higher temperatures oxygen, water, chlorides presence, it can be decomposed into some corrosive (by-)products with generation of SO2 subsequent...
The aim of this paper is to show how the Hodgkin-Huxley model neuron's membrane potential can be extended a stochastic one.This extension done either by adding fluctuations equations or using Markov kinetic schemes' formalism.We are presenting new model.This modification simplifies computational complexity neuron especially when considering hardware implementation.The implementation as system on chip field-programmable gate array (FPGA) demonstrated in paper.The results confirm reliability...
A series of seventeen 4-chlorocinnamanilides and 3,4-dichlorocinnamanilides were characterized for their antiplasmodial activity. In vitro screening on a chloroquine-sensitive strain Plasmodium falciparum 3D7/MRA-102 highlighted that 23 compounds possessed IC50 < 30 µM. Typically, showed broader range activity compared to 4-chlorocinnamanilides. (2E)-N-[3,5-bis(trifluoromethyl)phenyl]-3-(3,4-dichlorophenyl)prop-2-en-amide with = 1.6 µM was the most effective agent, while other eight active...