From traditional to emerging technologies in supporting smart libraries. A bibliometric and thematic approach from 2013 to 2022

AU Khan, Z Ma, M Li, L Zhi, W Hu, X Yang - Library Hi Tech, 2023 - emerald.com
Purpose The evolution from emerging technologies to smart libraries is thoroughly analyzed
thematically and bibliometrically in this research study, spanning 2013 through 2022 …

Applications of Industry 4.0 digital technologies towards a construction circular economy: gap analysis and conceptual framework

F Elghaish, ST Matarneh, DJ Edwards… - Construction …, 2022 - emerald.com
Purpose This paper aims to explore the emerging relationship between Industry 4.0 (I4. 0)
digital technologies (eg blockchain, Internet of Things (IoT) and artificial intelligence (AI)) …

Deep learning for safety risk management in modular construction: Status, strengths, challenges, and future directions

Y Junjia, AH Alias, NA Haron, NA Bakar - Automation in Construction, 2025 - Elsevier
Occupational health risks such as falls from height, electrocution, object strikes, mechanical
injuries, and collapses have plagued the construction industry. Deep learning algorithms are …

Towards an intelligent intrusion detection system to detect malicious activities in cloud computing

H Attou, M Mohy-eddine, A Guezzaz, S Benkirane… - Applied Sciences, 2023 - mdpi.com
Several sectors have embraced Cloud Computing (CC) due to its inherent characteristics,
such as scalability and flexibility. However, despite these advantages, security concerns …

Artificial intelligence (AI)-Based technology adoption in the construction industry: a cross national perspective using the technology acceptance model

S Na, S Heo, W Choi, C Kim, SW Whang - Buildings, 2023 - mdpi.com
The research has chosen the workers in construction-related companies in South Korea and
the United Kingdom (UK) as research subjects in order to analyse factors that influence their …

Deep learning-based object detection for dynamic construction site management

J Xu, W Pan - Automation in Construction, 2024 - Elsevier
Deep learning-based object detection (DLOD) methods are crucial in assisting dynamic
construction site management (DCSM) but have not been systematically studied. This paper …

Efficacious Novel Intrusion Detection System for Cloud Computing Environment

P Rana, I Batra, A Malik, IH Ra, OS Lee… - IEEE …, 2024 - ieeexplore.ieee.org
Rife acceptance of Cloud Computing has made it bull's eye for the hackers. Intrusion
detection System (IDS) plays a vibrant role for it. Researchers have done marvelous works …

Leveraging convolutional neural networks for efficient classification of heavy construction equipment

MS Yamany, MM Elbaz, A Abdelaty… - Asian Journal of Civil …, 2024 - Springer
Effective classification and detection of equipment on construction sites is critical for efficient
equipment management. Despite substantial research efforts in this field, most previous …

Utilisation of Kinemaster Application as Thematic Learning Media Development in Elementary School

H Patry, MA Kadir, ARF Ritonga - Journal of Social Science …, 2023 - journal.ypidathu.or.id
ABSTRACT Background. Thematic learning at Al-Bina 01 Koto Baru IT Elementary School
during the co-19 pandemic has decreased in terms of quality and in the learning process …

Digital technologies and knowledge management in project context: a systematic literature review

R José Lopes Gomes, L Ferreira da Silva… - … Research & Practice, 2024 - Taylor & Francis
This article aims to identify how Digital Technologies (DTs) are used in Knowledge
Management (KM) in the context of Project Management (PM). A systematic literature review …