The recent advancements made in the realms of Artificial Intelligence (AI) and Artificial
Intelligence of Things (AIoT) have unveiled transformative prospects and opportunities to …

This survey presents a comprehensive review of current literature on Explainable Artificial
Intelligence (XAI) methods for cyber security applications. Due to the rapid development of …

Abstract Machine learning and artificial intelligence (ML/AI), previously considered black box
approaches, are becoming more interpretable, as a result of the recent advances in …

Due to the properties of ad-hoc networks, it appears that designing sophisticated defence
schemes with more computing capital is impossible in most situations. Recently, an …

Global warming and carbon emissions have drawn attention to the need to decarbonize
transport. Promoting electric vehicles (EVs) has become an important strategy towards this …

Artificial intelligence (AI) and machine learning (ML) are widely employed to make the
solutions more accurate and autonomous in many smart and intelligent applications in the …

Although explainable artificial intelligence (XAI) promises considerable progress in
glassboxing deep learning models, there are challenges in applying XAI to geospatial …

Electrical load forecasting of buildings is crucial in designing an energy operation strategy
for smart city realization. Although artificial intelligence techniques have demonstrated …

Faults in photovoltaic arrays are known to cause severe energy losses. Data-driven models
based on machine learning have been developed to automatically detect and diagnose …

Given by the ambitious GHG mitigation targets set by governments worldwide, household is
playing an increasingly important role for reaching listed reduction goals. Consequently, a …