In recent years, deep learning algorithms have rapidly revolutionized artificial intelligence,
particularly machine learning, enabling researchers and practitioners to extend previously …

Drones have recently become one of the most important technological breakthroughs. They
have opened the horizon for a vast array of applications and paved the way for a diversity of …

The COVID-19 pandemic showed major impacts, on societies worldwide, challenging
healthcare systems, economies, and daily life of people. Geoepidemiology, an emerging …

Modern cities are complex adaptive systems in which there is a lot of dependency and
interaction between the various stakeholders, components, and subsystems. The use of …

Cyber-physical systems (CPS) refer to systems that integrate communication, control, and
computational elements into physical processes to facilitate the control of physical systems …

Understanding the traffic patterns of construction workers on high-risk construction sites is
important for implementing behaviour-based safety management. However, safety risks in …

Studies that apply deep learning (DL) methods to maintenance support systems have
achieved many successes because degradation patterns and remaining useful life (RUL) of …

Surface water pollution by pesticides is a primary concern in many parts of the world.
Therefore, an effective monitoring program is essential to assess the environmental state of …

Spatio-temporal prediction tasks play a crucial role in facilitating informed decision-making
through anticipatory insights. By accurately predicting future outcomes, the ability to …

Data-driven decision-making shapes every corner of human life today, from autonomous
vehicles to healthcare, and even in predictive policing and criminal sentencing. A critical …