Wyniki wyszukiwania dla: artificial intelligence.

• Integration of brood units in game universe

  Publikacja

  • M. Wójcik

  - Rok 2011

  An access to a great number of various services allows for decomposition of complex problems Developing a game universe usually involves creation of various units which can be encountered by a player. Those can be lonely or organized in broods animals and monsters wandering around the game world. In order to provide natural gaming experience those units should behave variously depending on the world situation. Those behaviours...

• 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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• Potential and Use of the Googlenet Ann for the Purposes of Inland Water Ships Classification

  Publikacja

  • K. Bobkowska
  • I. Bodus-olkowska Izabela

  - Polish Maritime Research - Rok 2020

  This article presents an analysis of the possibilities of using the pre-degraded GoogLeNet artificial neural network to classify inland vessels. Inland water authorities monitor the intensity of the vessels via CCTV. Such classification seems to be an improvement in their statutory tasks. The automatic classification of the inland vessels from video recording is a one of the main objectives of the Automatic Ship Recognition and...

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• Neural network based algorithm for hand gesture detection in a low-cost microprocessor applications

  Publikacja

  • T. Kocejko
  • F. Brzeziński
  • J. Rumiński
  • A. Poliński
  • J. Wtorek

  - Rok 2020

  In this paper the simple architecture of neural network for hand gesture classification was presented. The network classifies the previously calculated parameters of EMG signals. The main goal of this project was to develop simple solution that is not computationally complex and can be implemented on microprocessors in low-cost 3D printed prosthetic arms. As the part of conducted research the data set EMG signals corresponding...

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• Impact of digital technologies on reliability of risk forecasting models - case study of enterprises in three global financial market regions

  Publikacja

  • T. Korol

  - Rok 2021

  This chapter focuses on the evaluation of impact of ICT on reliability of financial risk forecasting models. Presented study shows how the development of ICT can improve the effectiveness of such models. Determining a firm’s financial risk is one of the most interesting topics for investors and decision-makers. The multifaceted goal of the presented research is to separately estimate five traditional statistical and five soft computing...

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• Nowe technologie w procesie projektowania architektonicznego

  Publikacja

  • J. Cudzik

  - Zawód: Architekt - Rok 2021

  Projektowanie architektoniczne zmienia się wraz z wprowadzaniem nowych technologii. Zmiany, które są wynikiem cyfrowej rewolucji z końca XX wieku przyczyniły się do zmiany metod stosowanych w projektowaniu, ale nie sposobu myślenia o projektach i ich etapach. Można stwierdzić, że tradycyjna deska kreślarska została zastąpiona cyfrową. Jednak dziś w związku ze wzrostem skomplikowania procesów projektowych, ich wielowarstwowości...

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• Automatic Breath Analysis System Using Convolutional Neural Networks

  Publikacja

  • Z. Kowalczuk
  • M. Czubenko
  • M. Bosak

  - Rok 2022

  Diseases related to the human respiratory system have always been a burden for the entire society. The situation has become particularly difficult now after the outbreak of the COVID-19 pandemic. Even now, however, it is common for people to consult their doctor too late, after the disease has developed. To protect patients from severe disease, it is recommended that any symptoms disturbing the respiratory system be detected as...

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• Qualia: About Personal Emotions Representing Temporal Form of Impressions - Implementation Hypothesis and Application Example

  Publikacja

  • Z. Kowalczuk
  • M. Czubenko
  • M. Gruba

  - Rok 2022

  The aim of this article is to present the new extension of the xEmotion system as a computerized emotional system, part of an Intelligent System of Decision making (ISD) that combines the theories of affective psychology and philosophy of mind. At the same time, the authors try to find a practical impulse or evidence for a general reflection on the treatment of emotions as transitional states, which at some point may lead to the...

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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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• Greencoin as an AI-Based Solution Shaping Climate Awareness.

  Publikacja

  • H. Obracht-Prondzynska
  • E. Duda
  • H. Anacka
  • J. Kowal

  - International Journal of Environmental Research and Public Health - Rok 2022

  Our research aim was to define possible AI-based solutions to be embedded in the Green- coin project, designed as a supportive tool for smart cities to achieve climate neutrality. We used Kamrowska-Załuska’s approach for evaluating AI-based solutions’ potential in urban planning. We narrowed down the research to the educational and economic aspects of smart cities. Furthermore, we used a systematic literature review. We propose...

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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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• 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...

• Gabriela Małyszko

  Osoby

• Maria Ferlin MSc

  Osoby

  Politechnika Gdańska

• Tadele Ayana PhD student at Gdansk University

  Osoby

• Karol Zdzisław Zalewski mgr inż.

  Osoby

• Natalia Ziółkowska mgr inż.

  Osoby

  Katedra Architektury Systemów Komputerowych

• Igor Niemczyk

  Osoby

• Moizuddin S. Khaja Doctoral Candidate

  Osoby

• Jakub Gaffke

  Osoby

• Asad Jan Mr.

  Osoby

• Hassan Bazazzadeh mgr Inż. Arch.

  Osoby

• Szymon Zdybel

  Osoby

  Uniwersytet Gdański

• Rafał Buler

  Osoby

• Rafał Wolniak

  Osoby

• Dharm Jain

  Osoby