The need to manufacture more competitive equipment, together with the emergence of the
digital technologies from the so-called Industry 4.0, have changed many paradigms of the …

Intrusion detection is a critical aspect of network security to protect computer systems from
unauthorized access and attacks. The capacity of traditional intrusion detection systems …

A deep learning-based quantitative structure–activity relationship analysis, namely the
molecular image-based DeepSNAP–deep learning method, can successfully and …

Antimicrobial resistance is an increasing issue in healthcare as the overuse of antibacterial
agents rises during the COVID-19 pandemic. The need for new antibiotics is high, while the …

Dissolved organic matter (DOM) is a complex mixture of molecules that constitutes one of
the largest reservoirs of organic matter on Earth. While stable carbon isotope values (δ13C) …

Renewable energy (RE) utilization is expected to increase in the coming years due to its
decreasing costs and the mounting socio-political pressure to decarbonize the world's …

Abstract Deep learning and Neural Networks strategies have become very popular in the
last year as tools for image and data processing. As for acoustics, neural network-based …

Background The observed consultation length at specialty clinics, such as cardiology care,
is represented by two underlying groups-one with zero service time due to patient no-shows …

Human-to-human communication via the computer is mainly carried out using a keyboard or
microphone. In the field of virtual reality (VR), where the most immersive experience …

Interfacial mechanical properties are important in composite materials and their applications,
including vehicle structures, soft robotics, and aerospace. Determination of traction …