Artificial neural networks for construction management: a review

PS Kulkarni, SN Londhe, M Deo - Journal of Soft Computing in Civil …, 2017 - jsoftcivil.com
Construction Management (CM) has to deal with a variety of uncertainties related to Time,
Cost, Quality, and Safety, to name a few. Such uncertainties make the entire construction …

A review study of application of artificial intelligence in construction management and composite beams

Y Cao, Y Zandi, AS Agdas, Q Wang, X Qian… - Steel and Composite …, 2021 - dbpia.co.kr
This paper is aimed to review the use of artificial intelligence (AI) algorithms in diverse civil
engineering applications such as predicting and evaluating the different parameters of …

Prediction of influencing atmospheric conditions for explosion Avoidance in fireworks manufacturing Industry-A network approach

I Nallathambi, R Ramar, DA Pustokhin… - Environmental …, 2022 - Elsevier
This research study uses Artificial Neural Networks (ANNs) to predict occupational accidents
in Sivakasi firework industries. Atmospheric temperature, pressure and humidity are the …

Exploring causal factors on the severity rate of occupational accidents in construction worksites

A Soltanzadeh, I Mohammadfam… - International journal of …, 2017 - Springer
Construction industries are among the most hazardous and high-risk occupations that
involve mild-to-severe accidents and bodily injuries. The aim of this study is to explore the …

Use of neural networks to identify safety prevention priorities in agro-manufacturing operations within commercial grain elevators

F Davoudi Kakhki, SA Freeman, GA Mosher - Applied Sciences, 2019 - mdpi.com
The grain handling industry plays a significant role in US agriculture by storing, distributing,
and processing a variety of agricultural commodities. Commercial grain elevators are …

Infant crying classification by using genetic algorithm and artificial neural network

A Bashiri, R Hosseinkhani - Acta Medica Iranica, 2020 - acta.tums.ac.ir
Cry as the only way of communication of babies with the surrounding environment can be
happened for many reasons such as diseases, suffocation, hunger, cold and heat feeling …

Performance comparison of machine learning techniques in sleep scoring based on wavelet features and neighboring component analysis

BA Savareh, A Bashiri, A Behmanesh, GH Meftahi… - PeerJ, 2018 - peerj.com
Introduction Sleep scoring is an important step in the treatment of sleep disorders. Manual
annotation of sleep stages is time-consuming and experience-relevant and, therefore, needs …

Utilization of machine learning in supporting occupational safety and health decisions in hospital workplace

K Koklonis, M Sarafidis, M Vastardi… - … , Technology & Applied …, 2021 - etasr.com
The prediction of possible future incidents or accidents and the efficiency assessment of the
Occupational Safety and Health (OSH) interventions are essential for the effective protection …

[HTML][HTML] Modeling of individual and organizational factors affecting traumatic occupational injuries based on the structural equation modeling: a case study in large …

I Mohammadfam, A Soltanzadeh… - Archives of trauma …, 2016 - ncbi.nlm.nih.gov
Objectives The aim of the present study was the short path analysis of the severity of
occupational injuries based on individual and organizational factors. Materials and Methods …

Confirmatory factor analysis of occupational injuries: presenting an analytical tool

I Mohammadfam, A Soltanzadeh, A Moghimbeigi… - Trauma …, 2017 - traumamon.com
Background: Occupational injuries are considered to be of great concern in all workplaces
and industries, especially in the construction field. Objectives: The purpose of this study was …