For wind energy conversion systems (WECS), forecasting wind speed is crucial for meeting
customer demands while monitoring, controlling, planning, and dispatching the electricity …

In different studies in the field of healthcare, big data analytics technology has been shown
to be effective in observing the behaviour of data, of which analysed to allow the discovery of …

The mid-term electrical energy consumption forecasting for crude oil pipelines is helpful for
making important decisions, such as energy consumption target setting, unit commitment …

This paper presents an intelligent photovoltaic (PV) fault detection system using Adaptive
Neuro-Fuzzy Inference System (ANFIS) methodology. To accomplish this objective, it is …

Hydro-agrological research considers the reference evapotranspiration (ETo), driven by
meteorological variables, crucial for achieving precise irrigation in precision agriculture. ETo …

Software defect prediction has caused widespread concern among software engineering
researchers, which aims to erect a software defect prediction model according to historical …

Although digital transformation (DT) is gaining importance, we know little about the
challenge of ambidextrous learning in that context or how to manage the challenge. To …

Purpose Small-and medium-sized enterprises (SMEs) mainly rely on their structure and
internal networks to achieve their goals and remain competitive. However, their limited …

The objective of this article is three-fold. First, it aims at identifying the main teaching
practices and information and communication technologies (ICTs) used to teach Operations …

There are few studies on how ultra-high-performance concrete UHPCs interact with
reinforced bar, and there is less data on non-proprietary UHPCs. On the other hand …