Structural health monitoring of civil engineering structures by using the internet of things: A review

M Mishra, PB Lourenço, GV Ramana - Journal of Building Engineering, 2022 - Elsevier
Structural health monitoring (SHM) and damage assessment of civil engineering
infrastructure are complex tasks. Structural health and strength of structures are influenced …

Machine learning and structural health monitoring overview with emerging technology and high-dimensional data source highlights

A Malekloo, E Ozer, M AlHamaydeh… - Structural Health …, 2022 - journals.sagepub.com
Conventional damage detection techniques are gradually being replaced by state-of-the-art
smart monitoring and decision-making solutions. Near real-time and online damage …

Harnessing the potential of the metaverse and artificial intelligence for the internet of city things: Cost-effective XReality and synergistic AIoT technologies

SE Bibri, SK Jagatheesaperumal - Smart Cities, 2023 - mdpi.com
The Metaverse represents an always-on 3D network of virtual spaces, designed to facilitate
social interaction, learning, collaboration, and a wide range of activities. This emerging …

A review of data management and visualization techniques for structural health monitoring using BIM and virtual or augmented reality

A Sadhu, JE Peplinski… - Journal of Structural …, 2023 - ascelibrary.org
Most civil infrastructure worldwide is currently past its design life. This situation has
precipitated the need for more systematic inspections and continual monitoring of …

Semantic Riverscapes: Perception and evaluation of linear landscapes from oblique imagery using computer vision

J Luo, T Zhao, L Cao, F Biljecki - Landscape and Urban Planning, 2022 - Elsevier
Traditional approaches for visual perception and evaluation of river landscapes adopt on-
site surveys or assessments through photographs. The former is expensive, hindering large …

An intelligent system for crop identification and classification from UAV images using conjugated dense convolutional neural network

A Pandey, K Jain - Computers and Electronics in Agriculture, 2022 - Elsevier
Crop identification and classification is an important aspect for modern agricultural sector.
With development of unmanned aerial vehicle (UAV) systems, crop identification from RGB …

Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …

M Imran, U Zaman, Imran, J Imtiaz, M Fayaz, J Gwak - Electronics, 2021 - mdpi.com
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …

Energy-efficient and fast data collection in UAV-aided wireless sensor networks for hilly terrains

RA Nazib, S Moh - IEEE Access, 2021 - ieeexplore.ieee.org
Energy-constrained sensor nodes are often deployed in remote, hilly, and hard-to-reach
areas for civilian and military purposes. In such wireless sensor networks (WSNs), an …

Extended reality (XR) for condition assessment of civil engineering structures: A literature review

FN Catbas, F Luleci, M Zakaria, U Bagci, JJ LaViola Jr… - Sensors, 2022 - mdpi.com
Condition assessment of civil engineering structures has been an active research area due
to growing concerns over the safety of aged as well as new civil structures. Utilization of …

User-centric immersive virtual reality development framework for data visualization and decision-making in infrastructure remote inspections

Z Wang, Y Wu, VA González, Y Zou… - Advanced Engineering …, 2023 - Elsevier
Data visualization and decision-making are critical aspects of infrastructure inspections.
Numerous research efforts have been made to develop practical remote inspection systems …