This study investigates the efficacy of Explainable Artificial Intelligence (XAI) methods,
specifically Gradient-weighted Class Activation Map** (Grad-CAM) and Shapley Additive …

Nowadays, artificial intelligence (AI) systems make predictions in numerous high stakes
domains, including credit-risk assessment and medical diagnostics. Consequently, AI …

Accurate prediction of shield tunneling-induced settlement is a complex problem that
requires consideration of many influential parameters. Recent studies reveal that machine …

The runoff prediction can provide scientific basis for flood control, disaster reduction and
water resources planning. Due to a large number of uncertainties in runoff prediction, it is …

Occupational accidents are common in the construction industry, therefore develo**
prediction models to detect high severe accidents would be useful. However, existing …

The electronic nose, popularly known as the E-nose, that combines gas sensor arrays
(GSAs) with machine learning has gained a strong foothold in gas sensing technology. The …

This research presents a comprehensive, sequential ensemble framework meticulously
crafted for optimizing investment portfolios, focusing on the construction industry. It employs …

The advancement of smart meters using evolving technologies such as the Internet of
Things (IoT) is producing more data for the training of energy prediction models. Since many …

Stock market prediction is considered as an important yet challenging aspect of financial
analysis. The difficulty of forecasting arises from volatile and non-linear nature of stock …

Human action recognition (HAR) has gained significant attention recently as it can be
adopted for a smart surveillance system in Multimedia. However, HAR is a challenging task …