Abstract Physics-Informed Neural Networks (PINN) are neural networks (NNs) that encode
model equations, like Partial Differential Equations (PDE), as a component of the neural …

The goal of managing smart cities and societies is to maximize the efficient use of finite
resources while enhancing the quality of life. To establish a sustainable urban existence …

Future smart cities are the key to fulfilling the ever-growing demands of citizens. Information
and communication advancements will empower better administration of accessible …

Deep Learning (DL) and Machine Learning (ML) are effectively utilized in various
complicated challenges in healthcare, industry, and academia. The Internet of Drones (IoD) …

In the quest to meet the escalating demands of citizens, future smart cities emerge as crucial
entities. Their role becomes even more vital given the current challenges posed by rapid …

Revolution in healthcare can be experienced with the advancement of smart sensorial
things, Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Internet of …

This paper proposes an innovative algorithm for community energy management control,
able to involve customers in energy trading by exploiting their potential energy flexibility. The …

In recent years, with the increase of computer computing power, Deep Learning has begun
to be favored. Its learning of non-linear feature combinations has played a role that …

Smart Cities can promote economic growth, sustainable transport, environmental
sustainability, and good governance among cities. These benefits can support cities in …

Recent improvements in the IoT are giving rise to the explosion of interconnected devices,
empowering many smart applications. IoT devices engender massive data that requires …