For the last few years, one can see the emergence of a large number of intelligent products
and services, their commercial availability and the socioeconomic impact, this raises the …

Computer numerical control (CNC) milling is a common method for the efficient mass
production of products. Process efficiency and product quality have a strong dependency on …

Early detection of Alzheimer disease is crucial for deploying interventions and slowing the
disease progression. A lot of machine learning and deep learning algorithms have been …

Fresh dates have a limited shelf life and are susceptible to spoilage, which can lead to
economic losses for producers and suppliers. The problem of accurate shelf life estimation …

Among medical specialties, laboratory medicine is the largest producer of structured data
and must play a crucial role for the efficient and safe implementation of big data and artificial …

The world is undergoing a paradigm shift in how products are manufactured. The fourth
industrial revolution, or Industry 4.0, is given greater importance by industries and …

The use of composite materials is increasing in industry sectors such as renewable energy
generation and storage, transport (including automotive, aerospace and agri-machinery) …

Ultrasonic metal welding has advantages over other joining technologies due to its low
energy consumption, rapid cycle time and the ease of process automation. The ultrasonic …

Accurate and speedy detection of power system events is critical to enhancing the reliability
and resiliency of power systems. Although supervised deep learning algorithms show great …

The collection of physiological data from people has been facilitated due to the mass use of
cheap wearable devices. Although the accuracy is low compared to specialized healthcare …