Artificial intelligence and sustainability in higher education: a bibliometric analysis and its relations with the UN SDGs DOI Creative Commons
Reimison Moreira Fernandes, Verônica de Menezes Nascimento Nagata, André Cristiano Silva Melo

и другие.

Concilium, Год журнала: 2024, Номер 24(3), С. 229 - 248

Опубликована: Фев. 22, 2024

This research aimed to analyze the importance of artificial intelligence and sustainability in higher education according literature field present relationships this context with United Nations Sustainable Development Goals (SDGs). The adopted strategies included bibliometric analysis using VOSviewer software review, considering Web Science scientific database. resulted clustering four groups. blue cluster highlighted emergence interest studies on AI following Covid-19 pandemic. green emphasized more efficient teaching methods adapted demands education, as well need empower teachers use developing students' skills competencies, emphasizing sustainability. yellow indicated presence based triad sustainable innovation, aiming prepare students for future challenges. red impact focusing student learning, efficiency, performance. Finally, identified main technologies their relationship SDGs. reflections presented here can contribute expanding discussions between education. From a practical standpoint, it serve foundation university managers promote integration into processes,

Язык: Английский

Tailored twisted CNT bundle with improved inter-tube slipping performances DOI
Danyang Zhao, Xing Quan Wang, Lik‐ho Tam

и другие.

Thin-Walled Structures, Год журнала: 2023, Номер 196, С. 111536 - 111536

Опубликована: Дек. 22, 2023

Язык: Английский

Процитировано

10

Machine learning-assisted wood materials: Applications and future prospects DOI
Yuqi Feng, Saad Mekhilef,

David Hui

и другие.

Extreme Mechanics Letters, Год журнала: 2024, Номер 71, С. 102209 - 102209

Опубликована: Июль 19, 2024

Язык: Английский

Процитировано

4

Assessment of Trees’ Structural Defects via Hybrid Deep Learning Methods Used in Unmanned Aerial Vehicle (UAV) Observations DOI Open Access
Qiwen Qiu, Denvid Lau

Forests, Год журнала: 2024, Номер 15(8), С. 1374 - 1374

Опубликована: Авг. 6, 2024

Trees’ structural defects are responsible for the reduction in forest product quality and accident of tree collapse under extreme environmental conditions. Although manual view inspection assessing health condition is reliable, it inefficient discriminating, locating, quantifying with various features (i.e., crack hole). There a general need investigation efficient ways to assess these enhance sustainability trees. In this study, deep learning algorithms lightweight You Only Look Once (YOLO) encoder-decoder network named DeepLabv3+ combined unmanned aerial vehicle (UAV) observations evaluate trees’ defects. Experimentally, we found that state-of-the-art detector YOLOv7-tiny offers real-time 50–60 fps) long-range sensing 5 m) but has limited capacity acquire patterns at millimeter scale. To address limitation, further utilized cascaded different architectures ResNet18, ResNet50, Xception, MobileNetv2 obtain actual morphology through close-range pixel-wise image semantic segmentation. Moreover, proposed hybrid scheme YOLOv7-tiny_DeepLabv3+_UAV assesses tree’s defect size an averaged accuracy 92.62% (±6%).

Язык: Английский

Процитировано

4

Flexible polyurethane films based on porous Carbon/Ni composite for electromagnetic absorber, photothermal deicing, and sensor DOI

Qiaoqiao Han,

Hui Wang, Shuang Wang

и другие.

Composites Part A Applied Science and Manufacturing, Год журнала: 2024, Номер 186, С. 108414 - 108414

Опубликована: Авг. 19, 2024

Язык: Английский

Процитировано

4

Artificial intelligence and sustainability in higher education: a bibliometric analysis and its relations with the UN SDGs DOI Creative Commons
Reimison Moreira Fernandes, Verônica de Menezes Nascimento Nagata, André Cristiano Silva Melo

и другие.

Concilium, Год журнала: 2024, Номер 24(3), С. 229 - 248

Опубликована: Фев. 22, 2024

This research aimed to analyze the importance of artificial intelligence and sustainability in higher education according literature field present relationships this context with United Nations Sustainable Development Goals (SDGs). The adopted strategies included bibliometric analysis using VOSviewer software review, considering Web Science scientific database. resulted clustering four groups. blue cluster highlighted emergence interest studies on AI following Covid-19 pandemic. green emphasized more efficient teaching methods adapted demands education, as well need empower teachers use developing students' skills competencies, emphasizing sustainability. yellow indicated presence based triad sustainable innovation, aiming prepare students for future challenges. red impact focusing student learning, efficiency, performance. Finally, identified main technologies their relationship SDGs. reflections presented here can contribute expanding discussions between education. From a practical standpoint, it serve foundation university managers promote integration into processes,

Язык: Английский

Процитировано

3