Wyniki wyszukiwania dla: ARTIFICIAL INTELLIGENCE.

• Social media and efficient computer infrastructure in smart city

  Publikacja

  • J. Balicki
  • H. Balicka
  • P. Dryja
  • M. Tyszka

  - Rok 2018

  Social media require an efficient infrastructures of computer and communication systems to support a smart city. In a big city, there are several crucial dilemmas with a home and public space planning, a growing population, a global warming, carbon emissions, a lack of key resources like water and energy, and a traffic congestion. In a smart city, we expect an efficient and sustainable transportation, efficient management of resources...

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• Cognitum Ontorion: Knowledge Representation and Reasoning System

  Publikacja

  • P. Kapłański
  • P. Weichbroth

  - Rok 2017

  At any point of human activity, knowledge and expertise are a key factors in understanding and solving any given problem. In present days, computer systems have the ability to support their users in an efficient and reliable way in gathering and processing knowledge. In this chapter we show how to use Cognitum Ontorion system in this areas. In first section, we identify emerging issues focused on how to represent and inference...

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• Antropoidalny Model Inteligentnego Systemu Decyzyjnego dla Jednostek Autonomicznych

  Publikacja

  • M. Czubenko

  - Rok 2017

  Głównym celem pracy jest opracowanie modelu procesów psychologicznych -- od momentu otrzymania bodźca do momentu podjęcia adekwatnej reakcji -- zachodzących w mózgu człowieka (psychologia poznawcza), oraz teorii motywacji (potrzeb, popędów i emocji). Model, zaprezentowany w pracy nazwany Inteligentnym Systemem Decyzyjnym (ISD), może mieć zastosowanie w systemie sterowania jednostką autonomiczną (agentem). W rozprawie rozważa się...

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• The impact of the temperament model on the behavior of an autonomous driver

  Publikacja

  • Z. Kowalczuk
  • O. Piechowski
  • M. Czubenko

  - IFAC-PapersOnLine - Rok 2019

  Because it is generally believed that the personality and temperament of a human driver influence his/her behavior on the road, the article presents a computational model of the temperament of an autonomous agent - a driver. First, a short review of the four ideas of Galen’s temperament in psychology is presented. Temperament traits are grouped into four other sets, one of which is chosen for implementation in the project of integration...

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• JamesBot - an intelligent agent playing StarCraft II

  Publikacja

  • Z. Kowalczuk
  • J. Cybulski
  • M. Czubenko

  - Rok 2019

  The most popular method for optimizing a certain strategy based on a reward is Reinforcement Learning (RL). Lately, a big challenge for this technique are computer games such as StarCraft II which is a real-time strategy game, created by Blizzard. The main idea of this game is to fight between agents and control objects on the battlefield in order to defeat the enemy. This work concerns creating an autonomous bot using reinforced...

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• Data Acquisition and Processing for GeoAI Models to Support Sustainable Agricultural Practices

  Publikacja

  • A. G. Pereira
  • A. Ojo
  • C. Edward
  • L. Porwol

  - Rok 2020

  There are growing opportunities to leverage new technologies and data sources to address global problems related to sustainability, climate change, and biodiversity loss. The emerging discipline of GeoAI resulting from the convergence of AI and Geospatial science (Geo-AI) is enabling the possibility to harness the increasingly available open Earth Observation data collected from different constellations of satellites and sensors...

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• SPECTRAL-BASED MODAL PARAMETERS IDENTIFICATION WITH MULTIPLE PARTICLE SWARMS OPTIMIZATION

  Publikacja

  • A. Orzechowski
  • M. Galewski

  - Rok 2017

  The paper presents usage of a Particle Swarm Optimization [1] based algorithm for spectral-based modal parameters identification. The main algorithm consists of two groups of swarms, namely, scouts and helpers. For the first group additional penalizing process is provided to force separation of scouting swarms in frequency space. The swarms have an ability to communicate with each other. At first stage, each swarm focuses on a...

• Application of fiber optic sensors using Machine Learning algorithms for temperature measurement of lithium-ion batteries

  Publikacja

  • K. Cierpiak
  • M. Szczerska
  • P. Wierzba

  - Photonics Letters of Poland - Rok 2023

  Optical fiber sensorsusing low-coherence interferometry require processing ofthe output spectrum or interferogramto quickly and accurately determine the instantaneous value of the measured quantity, such as temperature.Methods based on machine learning are a good candidate for this application. The application of four such methods in an optical fiber temperature sensoris demonstrated.Using aZnO-coated...

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• Visual Features for Improving Endoscopic Bleeding Detection Using Convolutional Neural Networks

  Publikacja

  • A. Brzeski
  • T. Dziubich
  • H. Krawczyk

  - SENSORS - Rok 2023

  The presented paper investigates the problem of endoscopic bleeding detection in endoscopic videos in the form of a binary image classification task. A set of definitions of high-level visual features of endoscopic bleeding is introduced, which incorporates domain knowledge from the field. The high-level features are coupled with respective feature descriptors, enabling automatic capture of the features using image processing methods....

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• Skills mismatch in the context of technological change

  Publikacja

  • F. Kutrzeba

  - Rok 2022

  The main purpose of this dissertation is to assess the perception asymmetry of smart skills and formal education in ICT based economy. In other words, the goal of this research is to assess perceptions of smart skills and competences in the context of technological change from the perspectives of employers and students in Poland. Determining the fore-mentioned relationship gives insight into the hypothetical perception asymmetry...

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• Recognition of Emotions in Speech Using Convolutional Neural Networks on Different Datasets

  Publikacja

  • M. Zielonka
  • A. Piastowski
  • A. Czyżewski
  • P. Nadachowski
  • M. Operlejn
  • K. Kaczor

  - Electronics - Rok 2022

  Artificial Neural Network (ANN) models, specifically Convolutional Neural Networks (CNN), were applied to extract emotions based on spectrograms and mel-spectrograms. This study uses spectrograms and mel-spectrograms to investigate which feature extraction method better represents emotions and how big the differences in efficiency are in this context. The conducted studies demonstrated that mel-spectrograms are a better-suited...

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• Multiple Cues-Based Robust Visual Object Tracking Method

  Publikacja

  • B. Khan
  • A. Jalil
  • A. Ali
  • K. Alkhaledi
  • K. Mehmood
  • K. M. Cheema
  • M. Murad
  • H. Tariq
  • A. M. El-Sherbeeny

  - Electronics - Rok 2022

  Visual object tracking is still considered a challenging task in computer vision research society. The object of interest undergoes significant appearance changes because of illumination variation, deformation, motion blur, background clutter, and occlusion. Kernelized correlation filter- (KCF) based tracking schemes have shown good performance in recent years. The accuracy and robustness of these trackers can be further enhanced...

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• Adam Brzeski dr inż.

  Osoby

  Katedra Architektury Systemów Komputerowych

• Michał Lech dr inż.

  Osoby

  Michał Lech was born in Gdynia in 1983. In 2007 he graduated from the faculty of Electronics, Telecommunications and Informatics of Gdansk University of Technology. In June 2013, he received his Ph.D. degree. The subject of the dissertation was: “A Method and Algorithms for Controlling the Sound Mixing Processes with Hand Gestures Recognized Using Computer Vision”. The main focus of the thesis was the bias of audio perception caused...

• Maciej Bobowicz Ph.D., M.D.

  Osoby

• Tomasz Białaszewski dr inż.

  Osoby

  Katedra Systemów Decyzyjnych i Robotyki

• Paweł Rościszewski dr inż.

  Osoby

  Paweł Rościszewski received his PhD in Computer Science at Gdańsk University of Technology in 2018 based on PhD thesis entitled: "Optimization of hybrid parallel application execution in heterogeneous high performance computing systems considering execution time and power consumption". Currently, he is an Assistant Professor at the Faculty of Electronics, Telecommunications and Informatics, Gdańsk University of Technology, Poland....

• Paweł Syty dr inż.

  Osoby

  Instytut Fizyki i Informatyki Stosowanej

• Dawid Wieczerzak mgr inż.

  Osoby

• Kacper Cierpiak

  Osoby

• Barbara Klaudel

  Osoby

• Hossein Nejatbakhsh Esfahani Dr.

  Osoby

  My research interests lie primarily in the area of Learning-based Safety-Critical Control Systems, for which I leverage the following concepts and tools:-Robust/Optimal Control-Reinforcement Learning-Model Predictive Control-Data-Driven Control-Control Barrier Function-Risk-Averse Controland with applications to:-Aerial and Marine robotics (fixed-wing UAVs, autonomous ships and underwater vehicles)-Multi-Robot and Networked Control...

• Leszek Chomacki Dr inż.

  Osoby

• Muhammad Jamshed Abbass Phd in Electrical Engineering

  Osoby

  Muhammad Jamshed Abbass received the M.S. degree in electrical engineering from Riphah International University, Islamabad. He is currently pursuing the Ph.D. degree with the Wrocław University of Science and Technology, Wroclaw, Poland. His research interests include machine learning, voltage stability within power systems, control design, analysis, the modeling of electrical power systems, the integration of numerous decentralized...

• Maria Ferlin MSc

  Osoby

  Politechnika Gdańska

• Gabriela Małyszko

  Osoby

• Karol Zdzisław Zalewski mgr inż.

  Osoby

• Tadele Ayana PhD student at Gdansk University

  Osoby

• Jakub Gaffke

  Osoby

• Natalia Ziółkowska mgr inż.

  Osoby

  Katedra Architektury Systemów Komputerowych

• Igor Niemczyk

  Osoby

• Moizuddin S. Khaja Doctoral Candidate

  Osoby

• Asad Jan Mr.

  Osoby

• Hassan Bazazzadeh mgr Inż. Arch.

  Osoby

• Szymon Zdybel

  Osoby

  Uniwersytet Gdański

• Rafał Wolniak

  Osoby

• Rafał Buler

  Osoby

• Dharm Jain

  Osoby