Temat: smart things - Katalog OPAC zbiorów

Skocz do pozycji: 1.

Tytuł:: Smart e-Learning Systems with Big Data
Autorzy:: Caviglione, L.
Coccoli, M.
Powiązania:: https://bibliotekanauki.pl/articles/226537.pdf
Data publikacji:: 2018
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: e-learning
Internet of Things
Smart Cities
big data
Opis:: Nowadays, the Internet connects people, multimedia and physical objects leading to a new-wave of services. This includes learning applications, which require to manage huge and mixed volumes of information coming from Web and social media, smart-cities and Internet of Things nodes. Unfortunately, designing smart e-learning systems able to take advantage of such a complex technological space raises different challenges. In this perspective, this paper introduces a reference architecture for the development of future and big-data-capable e-learning platforms. Also, it showcases how data can be used to enrich the learning process.
Źródło:: International Journal of Electronics and Telecommunications; 2018, 64, 4; 445-450
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

Artykuł

Skocz do pozycji: 2.

Tytuł:: Convolutional Neural Network Model Based Human Wearable Smart Ring System : Agent Approach
Autorzy:: Bhajantri, Lokesh B.
Kagalkar, Ramesh M.
Ranjolekar, Pundalik
Powiązania:: https://bibliotekanauki.pl/articles/2055210.pdf
Data publikacji:: 2021
Wydawca:: Polska Akademia Nauk. Czytelnia Czasopism PAN
Tematy:: internet of things
agents
convolutional neural networks
smart ring system
agent knowledge base
Opis:: The Internet of Things has a set of smart objects with smart connectivity that assists in monitoring real world environment during emergency situations. It could monitor the various applications of emergency situations such as road accidents, criminal acts including physical assaults, kidnap cases, and other threats to people’s way of life. In this work, the proposed work is to afford real time services to users in emergency situations through Convolutional Neural Networks in terms of efficiency and reliable services. Finally, the proposed work has simulated with respect to the performance parameters of the proposed scheme like the probability of accuracy and processing time.
Źródło:: International Journal of Electronics and Telecommunications; 2021, 67, 4; 673--678
2300-1933
Pojawia się w:: International Journal of Electronics and Telecommunications
Dostawca treści:: Biblioteka Nauki

Artykuł

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