Leveraging 6G, extended reality, and IoT big data analytics for healthcare: A review

HF Ahmad, W Rafique, RU Rasool, A Alhumam… - Computer Science …, 2023 - Elsevier
In recent years, the healthcare industry has faced new challenges around staffing, human
interaction, and the adoption of telehealth. Technological innovations can improve …

Tinjauan pustaka sistematis manajemen pendidikan: Kerangka konseptual dalam meningkatkan kualitas pendidikan era 4.0

FN Mahmudah, ECS Putra - Jurnal Akuntabilitas Manajemen …, 2021 - journal.uny.ac.id
Tujuan penulisan artikel ini adalah untuk mengetahui program apa saja yang dapat
mewujudkan sumber daya manusia (SDM) unggul era 4.0 dan untuk membuat kerangka …

DeepLMS: a deep learning predictive model for supporting online learning in the Covid-19 era

SB Dias, SJ Hadjileontiadou, J Diniz… - Scientific reports, 2020 - nature.com
Abstract Coronavirus (Covid-19) pandemic has imposed a complete shut-down of face-to-
face teaching to universities and schools, forcing a crash course for online learning plans …

Distributed artificial intelligence-as-a-service (DAIaaS) for smarter IoE and 6G environments

N Janbi, I Katib, A Albeshri, R Mehmood - Sensors, 2020 - mdpi.com
Artificial intelligence (AI) has taken us by storm, hel** us to make decisions in everything
we do, even in finding our “true love” and the “significant other”. While 5G promises us high …

Design and evaluation of a deep learning recommendation based augmented reality system for teaching programming and computational thinking

PH Lin, SY Chen - Ieee Access, 2020 - ieeexplore.ieee.org
Programming is considered a skill to arouse and inspire learner's potential. Learning to
program is a complex process that requires students to write grammar and instructions. The …

[HTML][HTML] Towards sustainable industry 4.0: A survey on greening IoE in 6G networks

SH Alsamhi, A Hawbani, R Sahal, S Srivastava… - Ad Hoc Networks, 2024 - Elsevier
The dramatic recent increase of the smart Internet of Everything (IoE) in Industry 4.0 has
significantly increased energy consumption, carbon emissions, and global warming. IoE …

Mining smart learning analytics data using ensemble classifiers

S Kausar, S Oyelere, Y Salal, S Hussain… - … Journal of Emerging …, 2020 - learntechlib.org
Recent progress in technology has altered the learning behaviors of students; besides
giving a new impulse which reshapes the education itself. It can easily be said that the …

Sms: A secure healthcare model for smart cities

G Tripathi, M Abdul Ahad, S Paiva - Electronics, 2020 - mdpi.com
Technological innovations have enabled the realization of a utopian world where all objects
of everyday life, as well as humans, are interconnected to form an “Internet of Things (IoT).” …

SA-SGRU: combining improved self-attention and skip-GRU for text classification

Y Huang, X Dai, J Yu, Z Huang - Applied Sciences, 2023 - mdpi.com
When reading texts for text classification tasks, a large number of words are irrelevant, and
in text classification tasks, the traditional self-attention mechanism has the problem of weight …

To determine the critical factors for the adoption of cloud computing in the educational sector in develo** countries–a fuzzy DEMATEL approach

RR Thavi, VS Narwane, RH Jhaveri, RD Raut - Kybernetes, 2022 - emerald.com
Purpose The paper focuses on reviewing and theorizing the factors that affect the adoption
of cloud computing in the education sector narrowing the focus to develo** countries such …