In recent decades, online platforms that use Web 3.0 have tremendously expanded their
goods, services, and values to numerous applications thanks to its inherent advantages of …

Embedded artificial intelligence in IoT devices is presented as an option to reduce
connectivity dependence, allowing decision-making directly at the edge computing layer …

Data-driven Artificial Intelligence (AI) systems trained using Machine Learning (ML) are
shaping an ever-increasing (in size and importance) portion of our lives, including, but not …

This paper proposes an ultra-low-power hardware architecture of a tiny machine learning
(tinyML)-based conversion from Pulse Density Modulation (PDM) to Pulse Code Modulation …

Abstract The Internet of Things (IoT) features multiple device connectivity and breaks the
conventional network connectivity limitations like limited wireless range, scalability specific …

The real implementation of a recurrent neural network (RNN) in a low complexity IoT device
is evaluated in order to predict the time series of power consumption in tertiary buildings …

The front deployed deep learning system is a promising technology for the next generation
of industrial applications, which can extract essential information from high dimension …

So far, various aspects associated with wireless energy harvesting (EH) have been
investigated from diverse perspectives, including energy sources and models, usage …

The future of electric grids is undergoing a remarkable transformation driven by the
increasing adoption of emerging technologies, notably Artificial Intelligence (AI) and …

Construction 4.0 is a revolutionary paradigm that leverages the power of artificial
intelligence to facilitate the smart interaction between cyber-physical systems and digital …