Bibliografia publikacji pracowników
Państwowej Szkoły Wyższej w Białej Podlaskiej
Baza tworzona przez Bibliotekę Akademii Bialskiej im. Jana Pawła II.
Zapytanie:
ARTIFICIAL INTELLIGENCE Liczba odnalezionych rekordów: 4
Przejście do opcji zmiany formatu | Wyświetl/ukryj etykiety | Wyświetlenie wyników w wersji do druku | Pobranie pliku do edytora | Nowe wyszukiwanie Streszczenie: The article focuses on evaluating the impact of artificial intelligence on the job market, with a specific emphasis on the role of the Chat GPT tool. This virtual assistant has the ability to generate real-time responses to a wide range of questions, making it highly versatile in many aspects of daily life. The skills possessed by this bot open doors to solving various problems and automating repetitive processes. However, there are limitations and inconveniences associated with using Chat GPT, such as the limited database currency of the GPT-3.5 model and the potential for generating incorrect answers. Additionally, the article highlights the importance of privacy concerns when using Chat GPT. Ultimately, the analysis of the article focuses on examining both the benefits and potential challenges associated with integrating Chat GPT into people's professional endeavors. The aim of this paper is to present the concept of Chat GPT and its impact on various professions. Design/Methodology/Approach: The article employed the following methods: literature review and analysis of the impact of the Chat GPT tool on the job market. The focus was on examining various perspectives and considering the main concepts related to Chat GPT. Findings: Based on the conducted analyses, it was determined that Chat GPT has assisted professionals in their work, but at this moment, it is not capable of replacing humans in their respective occupations. Practical implications: The results presented in the article hold significant practical implications for the readers. Furthermore, the outlined benefits and inconveniences of using Chat GPT may contribute to raising the awareness of recipients in the context of Artificial Intelligence. Emphasizing the conclusions can be valuable for recipients in the context of their respective professions, aiding them in enhancing the efficiency of their work. Originality/value: This article stands out by offering a fresh perspective on the presented issue. The uniqueness of this study lies in its innovative approach, enabling substantive conclusions regarding professional work in the era of Chat GPT. Furthermore, its value is particularly significant for the academic community, offering new insights that can inspire further research in this field.
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Nr opisu: 0000042333 Autorzy: Sergei Bezobrazov, Andrei Sheleh, Sergei Kislyuk, Vladimir Golovko, Anatoliy Sachenko, Myroslav Komar, Vitaliy Dorosh, Volodymyr Turchenko. Tytuł pracy: Artificial Intelligence for Sport Activity Recognition Tytuł całości: W: IDAACS'2019 : Proceedings of the 2019 10th IEEE International Conference on Intelligent Data Acquisition and Advanced Computing Systems : Technology and Applications,, Vol. 2 Miejsce wydania: [Piscataway] Wydawca: Institute of Electrical and Electronics Engineers Inc. Rok wydania: 2019 Strony zajęte przez pracę: S. 628-632 ISBN: 978-1-7281-4068-1 Charakterystyka formalna: rozdział w monografii zagranicznej Charakterystyka merytoryczna: konferencja naukowa międzynarodowa Charakterystyka wg MNiSW: rozdział w monografii z wykazu MEiN Język publikacji: ENG Słowa kluczowe ang.: artificial intelligence ; artificial neural networks ; gesture recognition ; sport activity recognition ; time series processing Uwaga: Kopia dostępna w Sekcji Bibliometrii. Inne bazy podające opis:
Scopus
WoS
DOI: 10.1109/IDAACS.2019.8924243 Streszczenie: This paper presents and explains an implementation of an Artificial Neural Network approach for sport activities (gestures) detection and recognition using PIQ ROBOT device. Tennis was chosen as an example of sports activities. The development of artificial intelligence has given rise to gesture-recognition-based devices. The global gesture recognition market size was valued at USD 6.22 billion in 2017 and it is likely to reach USD 30.6 billion by 2025. This paper starts our ambitious research in the area of artificial neural networks for activity recognition in the sport.
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Nr opisu: 0000042337 Autorzy: Vladimir Golovko, Alexander Kroshchanka, Sergei Bezobrazov, Anatoliy Sachenko, Myroslav Komar, Oleksandr Novosad. Tytuł pracy: Development of Solar Panels Detector Tytuł całości: W: Problems of Infocommunications Science and Technology (PIC S&T' 2018) : Conference Proceedings 2018 International Scientific-Practical Conference Miejsce wydania: Kharkiv Wydawca: Institute of Electrical and Electronics Engineers (IEEE) Rok wydania: 2018 ISBN: S. 761-764 Kopia niedostępna: x Charakterystyka formalna: referat w materiałach pokonferencyjnych zagranicznych Charakterystyka merytoryczna: konferencja naukowa międzynarodowa Charakterystyka wg MNiSW: publikacja w recenzowanych mat. konf. międzynar. uwzględnionej w WoS Język publikacji: ENG Punktacja ministerstwa: 15.000 Słowa kluczowe ang.: artificial intelligence ; computer vision ; convolutional neural network ; energy production ; geospatial data ; power capacity ; satellite photos ; solar panels detection Inne bazy podające opis:
Scopus
WoS
DOI: 10.1109/INFOCOMMST.2018.8632132 Streszczenie: The paper describes the method of detection of roof-installed solar photovoltaic panels in low-quality satellite photos. It is important to receive the geospatial data (such as country, zip code, street and home number) of installed solar panels, because they are connected directly to the local power. It will be helpful to estimate a power capacity and an energy production using the satellite photos. For this purpose, a Convolutional Neural Network was used. For training and testing dataset consists of low-quality Google satellite images was used. The experimental results show a high rate accuracy of detection with low rate incorrect classifications of the proposed approach. The proposed approach has enormous implementation and can be improved in future.