Recently, there has been a significant advancement in the water quality index (WQI) models
utilizing data-driven approaches, especially those integrating machine learning and artificial …

Anomaly detection using machine learning algorithms is rising lately, especially with
increased data volume and velocity. One of the most recent anomaly detection algorithms is …

Abstract Data-driven Anomaly Detection approaches have received increasing attention in
many application areas in the past few years as a tool to monitor complex systems in …

Since the introduction of the industry 4.0 paradigm, manufacturing companies are investing
in the development of algorithmic diagnostic solutions for their industrial equipment, relying …

Cement-based foam has emerged as a strong contender in sustainable construction owing
to its superior thermal and sound insulation properties, fire resistance, and cost …

The reasonable construction of the organic Rankine cycle (ORC) system model under road
conditions is the key to analyze, evaluate, and optimize the performance of the ORC system …

With the development of big data analytics, consumers' online reviews are becoming
increasingly useful for product innovation with hidden innovative ideas that can be extracted …

Long-span cable-supported bridges are flexible and prone to significant deformations under
temperature, wind, and vehicle loads. Such large deformations induce frequent longitudinal …

Organic Rankine cycle (ORC) synergistic multi-objective optimization is the key to obtain the
actual waste heat recovery potential under dynamic driving cycle. The ORC operation shows …

Uncertain working conditions will lead to abnormal energy consumption and energy loss of
high energy consumption machines. Therefore, it is necessary to detect abnormal energy …