Digital twins (DTs) promise innovation for the marine renewable energy sector using modern
technological advances and the existing maritime knowledge frameworks. The DT is a …

Transformasi digital telah menjadi tren global yang mempengaruhi semua aspek kehidupan
manusia. Di Indonesia, kebijakan akselerasi transformasi digital dapat mempercepat …

The integration of generative Artificial Intelligence (AI) systems, such as ChatGPT, into the
construction industry represents a transformative force with profound implications. This …

Power system demand forecasting is a crucial task in the power system engineering field.
This is due to the fact that most system planning and operation activities basically rely on …

This paper proposes a Convolutional Neural Network–Block Development Mechanism
(CNN-BDM) enabling the development of a lightweight deep learning architecture for the …

The aim of this research is to develop an automated pallet inspection architecture with two
key objectives: high performance with respect to defect classification and computational …

The recent increase in photovoltaic (PV) power generation and its extensive use worldwide
has led to the development of complex distributed generation systems, which has caused an …

Substations are becoming increasingly reliant on international electrotechnical commission
(IEC)-61850-enabled devices. However, device compatibility with these standards does not …

Granted that Machine learning (ML) can positively impact an organization's performance, it
is crucial to understand the technological, organizational, and environmental drivers upon its …

Digital twin (DT) as a virtual replica of a physical asset, can enhance the design,
construction, operation, and maintenance of physical infrastructure. This paper aims to …