C. Lee

Artificial intelligence and smart vision for building and construction 4.0: Machine and deep learning methods and applications

Review on the toxicity, occurrence, metabolism, detoxification, regulations and intake of zearalenone: An oestrogenic mycotoxin

Estimation of the daily exposure of Koreans to aflatoxin B₁through food consumption

Human aflatoxicosis in developing countries: a review of toxicology, exposure, potential health consequences, and interventions

Mycotoxins: Occurrence, toxicology, and exposure assessment

Prediction of mechanical properties of green concrete incorporating waste foundry sand based on gene expression programming

Beluga whale optimization: A novel nature-inspired metaheuristic algorithm

Artificial intelligence, machine learning and deep learning in advanced robotics, a review

Emerging artificial intelligence methods in structural engineering

1D convolutional neural networks and applications: A survey

A review of vibration-based damage detection in civil structures: From traditional methods to Machine Learning and Deep Learning applications

Modeling the behavior of load bearing concrete walls under fire exposure

A hybrid genetic algorithm and optimality criteria method for optimum design of RC tall buildings under multi‐load cases

Natural co-occurrence of aflatoxin B₁, fumonisin B₁and ochratoxin A in barley and corn foods from Korea

Fire hazard in buildings: review, assessment and strategies for improving fire safety

ANN prediction of cement mortar compressive strength, influence of cement strength class

Predicting behavior of FRP-confined concrete using neuro fuzzy, neural network, multivariate adaptive regression splines and M5 model tree techniques

A Review of Further Directions for Artificial Intelligence, Machine Learning, and Deep Learning in Smart Logistics

Natural occurrence of aflatoxins in Korean meju

Fire resistance of reinforced concrete bearing walls subjected to all-sided fire exposure

Flexural Design of Reinforced Concrete Frames by Genetic Algorithm

Prediction of shear strength of FRP-reinforced concrete flexural members without stirrups using artificial neural networks