Urban centrality is critical for comprehending cities' most significant locations.
Conventionally, urbanists analyzed urban centrality by transforming urban spatial networks …

Cardiovascular disease is a dangerous disorder that causes the most significant number of
deaths across the world. In the past years, researchers proposed several automated …

To accurately rank various web services can be a very challenging task depending on the
evaluation criteria used, however, it can play an important role in performing a better …

This study proposes an ensemble deep learning approach that integrates Bagging Ridge
(BR) regression with Bi-directional Long Short-Term Memory (Bi-LSTM) neural networks …

Simple Summary Indoor air temperature (IAT) and indoor relative humidity (IRH) are the
prominent microclimatic variables. Among other livestock animals, pigs are more sensitive to …

The foreign exchange market (Forex) is the world's largest market for trading foreign money,
with a trading volume of over 5.1 trillion dollars per day. It is known to be very complicated …

In recent times, heart disease has been the significant cause of mortality worldwide, where
cardiovascular disease prediction is a challenging task in clinical data valuation. Notably …

Electricity theft can be considered as a Nontechnical Loss (NTL) in smart grids, which is very
harmful to the power system. Electricity Theft Detection (ETD) is a procedure to detect …

During tunnel boring machine (TBM) excavation, lithology identification is an important issue
to understand tunnelling performance and avoid time-consuming excavation. However, site …

Air Quality Index (AQI) is the crucial foundation for measuring air quality, which reflects the
influence of air quality on people's health and life to a certain extent. In this paper, a hybrid …