In a wide range of industries and academic fields, artificial intelligence is becoming
increasingly prevalent. AI models are taking on more crucial decision-making tasks as they …

In the mass appraisal of properties, Machine Learning (ML) algorithms have produced
effective and promising results. Analysts use various algorithms to train their models with …

Very little work has been done on the feasibility of Machine Learning (ML) for predicting
buildings energy demand right at the design stage. This feasibility, if proven, would help to …

The “black-box” nature of artificial intelligence (AI) models has been the source of many
concerns in their use for critical applications. Explainable Artificial Intelligence (XAI) is a …

Background Wearable technologies have become increasingly prominent in health care.
However, intricate machine learning and deep learning algorithms often lead to the …

Infodemics are intertwined with the COVID-19 pandemic, affecting people's perception and
social order. To curb the spread of COVID-19 related false rumors, fuzzy-set qualitative …

The design of advanced deoxidizer is the key to promote hydrogen production from
chemical looping steam splitting, however, the deoxidizer shows complicated possibility of …

With the growing convergence of artificial intelligence and daily life scenarios, the
application scenarios for intelligent decision methods are becoming increasingly complex …

Fracturing-flooding is an emerging technique designed to enhance oil recovery in
waterflooding reservoirs, however, its effectiveness remains difficult to predict due to limited …

Understanding the spatial distribution of soil Pb and its potential influence mechanism is
significant for controlling Pb pollution in tea plantations and guaranteeing food safety. The …