The purpose of our systematic review is to examine the recently published literature on the
Internet of Manufacturing Things (IoMT), and integrate the insights it configures on deep …

Nanomaterials demonstrate enormous potential applications in various scientific and
engineering fields due to their unique physical and chemical properties. With the rapid …

Industry 4.0 is considered to be the fourth industrial revolution introducing a new paradigm
of digital, autonomous, and decentralized control for manufacturing systems. Two key …

Continued advancement of sensors has led to an ever-increasing amount of data of various
physical nature to be acquired from production lines. As rich information relevant to the …

The business world is continually changing. Dynamic environments, full of uncertainties,
complexities, and ambiguities, demand faster and more confident decisions. To compete in …

Nowadays, big data is an emerging area of computer science. Data are generated through
different sources such as social media, e-commerce, blogs, banking, healthcare …

Nowadays, systems containing components based on machine learning (ML) methods are
becoming more widespread. In order to ensure the intended behavior of a software system …

The developments of new concepts for an increased digitization of manufacturing industries
in the context of Industry 4.0 have brought about novel system architectures and frameworks …

This research reveals the essence of the author's recommendations for improving data
processing technology in choosing the optimal management decision system. Based on the …

There is no AI without data Page 1 98 COMMUNICATIONS OF THE ACM | NOVEMBER 2021 |
VOL. 64 | NO. 11 IMA GE B Y ALBER T O ANDREI ROSU, WITH ADDITIONAL IMA GER Y …