AI integration in construction safety: Current state, challenges, and future opportunities in text, vision, and audio based applications
High occupational injury and fatality rate in the construction industry is a serious global
concern. Recognizing AI as a solution to enhance safety performance, this study reviews …
concern. Recognizing AI as a solution to enhance safety performance, this study reviews …
[HTML][HTML] CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …
[HTML][HTML] Keypoints-based Heterogeneous Graph Convolutional Networks for construction
Artificial intelligence algorithms employed for classifying excavator-related activities
predominantly rely on sensors embedded within individual machinery or computer vision …
predominantly rely on sensors embedded within individual machinery or computer vision …
[HTML][HTML] Late acceptance hill climbing aided chaotic harmony search for feature selection: An empirical analysis on medical data
A Naskar, R Pramanik, SKS Hossain, S Mirjalili… - Expert Systems with …, 2023 - Elsevier
In today's era of data-driven digital society, there is a huge demand for optimized solutions
that essentially reduce the cost of operation, thereby aiming to increase productivity …
that essentially reduce the cost of operation, thereby aiming to increase productivity …
Visual–auditory learning network for construction equipment action detection
Action detection of construction equipment is critical for tracking project performance,
facilitating construction automation, and fostering construction efficiency in terms of …
facilitating construction automation, and fostering construction efficiency in terms of …
A new one-dimensional testosterone pattern-based EEG sentence classification method
Electroencephalography (EEG) signals are crucial data to understand brain activities. Thus,
many papers have been proposed about EEG signals. In particular, machine learning …
many papers have been proposed about EEG signals. In particular, machine learning …
Artificial intelligence enhanced automatic identification for concrete cracks using acoustic impact hammer testing
MN Alhebrawi, H Huang, Z Wu - Journal of Civil Structural Health …, 2023 - Springer
Impact hammer testing is a regular structure inspection method for detecting surface and
internal damages. Inspectors use the sound from impact hammer testing to determine the …
internal damages. Inspectors use the sound from impact hammer testing to determine the …
A Scalogram-based CNN approach for audio classification in construction sites
The automatic monitoring of activities in construction sites through the proper use of acoustic
signals is a recent field of research that is currently in continuous evolution. In particular, the …
signals is a recent field of research that is currently in continuous evolution. In particular, the …
Machine learning-based optimisation in a two-echelon logistics network for the dry port operation in China
Efforts of creating economic recovery after the COVID-19 pandemic stipulate international
logistics demands in the countries and regions affected by China's Belt and Road initiative …
logistics demands in the countries and regions affected by China's Belt and Road initiative …
CNN feature and classifier fusion on novel transformed image dataset for dysgraphia diagnosis in children
Dysgraphia is a neurological disorder that hinders the acquisition process of normal writing
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …
skills in children, resulting in poor writing abilities. Poor or underdeveloped writing skills in …