Imaging mass spectrometry (IMS) is a rapidly advancing molecular imaging modality that
can map the spatial distribution of molecules with high chemical specificity. IMS does not …

The prediction of coke quality from global coal basins is critical to coke producers and steel
makers for both the selection and effective utilisation of coals. This review analysed the …

Facilitated by AI technology, the phenomenon of cognitive automation extends the scope of
deterministic business process automation (BPA) through the probabilistic automation of …

Accurate incidence forecasting of infectious disease is critical for early prevention and for
better government strategic planning. In this paper, we present a comprehensive study of …

Previous researchers have proposed intelligent systems for therapeutic monitoring of
cognitive impairments. However, most existing practical approaches for this purpose are …

In this study, a new fuzzy approach is proposed for load frequency control (LFC) of a multi-
area power system. The main control system is constructed by use of interval type-2 fuzzy …

The industrial internet of things (IIoT) is considered a new paradigm in the era of wireless
communication for performing automatic communication in the network. However, automatic …

Abstract Machine learning (ML) techniques are increasingly spreading in the automotive
area. The advantage of using data-based algorithms is evidenced in the study of complex …

Artificial Intelligence (AI) provides organizations with vast opportunities of deploying AI for
competitive advantage such as improving processes, and creating new or enriched products …

This paper introduces a new data-driven bottom-up monitoring approach for distribution
systems. In this approach, local estimations of the subsections into which the system is split …