This review discussed the dilemma of small data faced by materials machine learning. First,
we analyzed the limitations brought by small data. Then, the workflow of materials machine …

This study reviewed the artificial intelligence (AI) and machine learning (ML) literature in the
finance field. Using a bibliometric approach, we collected 348 articles published in 2011 …

In the modern era, many terms related to artificial intelligence, machine learning, and deep
learning are widely used in domains such as business, healthcare, industries, and military …

Artificial intelligence (AI) contributes to the recent developments in Industry 4.0. Industries
are focusing on improving product consistency, productivity and reducing operating costs …

Recent developments in manufacturing processes and automation have led to the new
industrial revolution termed “Industry 4.0”. Industry 4.0 can be considered as a broad domain …

Climate change is a major threat already causing system damage to urban and natural
systems, and inducing global economic losses of over $500 billion. These issues may be …

Artificial Intelligence (AI), machine learning (ML), and deep learning (DL) are emerging
techniques capable of delivering elegant and affordable solutions which can surpass those …

Alongside many studies on greening efforts for supply chain activities, there is a research
gap in understanding the emergence and adoption of green supply chain innovation (GSCI) …

Abstract In current discussions, Artificial Intelligence (AI) is ascribed great influence on
production processes. Research on AI has seen tremendous growth in recent years …

Computer-aided design (CAD) is the use of computer-based software to aid in design
modeling, design analysis, design review, and design documentation. Nevertheless, the …