Uniwersyteckie Czasopisma NaukoweNAPĘDZANIE CYFROWEJ TRANSFORMACJI BIZNESU W ZIELONYCH INTELIGENTNYCH MIASTACH ZA POMOCĄ SZTUCZNEJ INTELIGENCJI I PRZETWARZANIA W CHMURZE
DOI:
https://doi.org/10.26881/wg.2025.1.03Słowa kluczowe:
głębokie uczenie, transformacja cyfrowa, zrównoważony rowójAbstrakt
Cel. Cyfrowa transformacja biznesu w zielonych inteligentnych miastach jest klczowa ze względu na zmieniające się potrzeby mieszkańców i przedsiębiorstw oraz rosnące wymagania dotyczące zwiększania efektywności, poprawy jakości życia w miastach i ochrony środowiska. Celem niniejszej publikacji jest scharakteryzowanie kierunków rozwoju sztucznej inteligencji (AI) oraz chmury obliczeniowej wspierających transformację cyfrową i zrównoważony rozwój miast. Waro zauważyć, że w literaturze przedmiotu istnieje luka, gdyż brakuje jasnych pomysłów na efektywne wykorzystanie głębokiego uczenia opartego na sztucznych sieciach neuronowych (ANN) w chmurze.
Metody. Podstawowe metody badawcze obejmują krytyczną analizę literatury przedmiotu. Dodatkowo zastosowano modelowanie w celu symulacji wykorzystania głębokiego uczenia i chmury obliczeniowej w systemach zarządzania inteligentnymi miastami. Przeprowadzono intensywne eksperymenty obliczeniowe w celu analizy jakości rozwiązań, które zostały ocenione na podstawie zaproponowanych metod głębokiego uczenia z wykorzystaniem ANN opartych na długiej pamięci krótkoterminowej (LSTM).
Wyniki. Wyniki badań teoretycznych i eksperymentów numerycznych potwierdziły znaczący wkład AI i chmury obliczeniowej w zwiększenie efektywności miasta, poprawę jakości życia mieszkańców oraz ochronę środowiska naturalnego.
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