The application of white box models in digital twins is often hindered by missing knowledge,
uncertain information and computational difficulties. Our aim was to overview the difficulties …

This review paper delves into synergistic integration of artificial intelligence (AI) and
machine learning (ML) with high-throughput experimentation (HTE) in the field of …

Construction projects are often deemed as complex and high-risk endeavours, mostly
because of their vulnerability to external conditions as well as project-related uncertainties …

Tuberculosis (TB) caused by Mycobacterium tuberculosis is a contagious disease which is
among the top deadly diseases in the world. Research in Medical Imaging has been done to …

Abstract Internet of Things (IoT) has recently brought an influential research and analysis
platform in a broad diversity of academic and industrial disciplines, particularly in healthcare …

Today, the continuous growth of electronic commerce volume increases the importance of
point-to-point shipment transportation. For this reason, it is extremely important that shipment …

Improving the urban wind climate yields substantial advantages, encompassing enhanced
public health, increased pedestrian safety, improved building energy efficiency, and effective …

The simulation of production processes using a digital twin can be utilized for prospective
planning, analysis of existing systems or process-parallel monitoring. In all cases, the digital …

Abstract Direct Torque Control (DTC) is widely used in motion control of motors. Classical
DTC utilizes the Park transformation (dq-model) or observer to estimate the stator fluxlinkage …

Automated classification of remote sensing images is one of the complex issues in robotics
and machine learning fields. Many models have been proposed for remote sensing image …