This paper presents a comprehensive general overview of the extensive literature available
in the field of application of artificial intelligence (AI) in flood prediction. The initial approach …

The phenomenon of being Out-Of-The-Loop (OOTL) can significantly undermine pilots'
performance and pose a threat to aviation safety. Previous attempts to identify OOTL status …

Since the pandemic started, organisations have been actively seeking ways to improve their
organisational agility and resilience (regility) and turn to Artificial Intelligence (AI) to gain a …

Abstract Explainable Artificial Intelligence (XAI) aims to enhance transparency and trust in AI
systems by providing insights into their decision-making processes. While there has been …

Emerging advanced digital technologies, such as Blockchain and artificial intelligence (AI),
have had a substantial impact on performance improvement and operations optimization in …

The combination of high-throughput experimentation techniques and machine learning (ML)
has recently ushered in a new era of accelerated material discovery, enabling the …

Decision trees (DTs) are a type of machine learning technique used for classification and
regression problems. They are considered to be a part of explainable artificial intelligence …

Artificial Intelligence (AI) is undergoing a significant transformation. In recent years, the
deployment of AI models, from Analytical to Cognitive and Generative AI, has become …

Adoption of artificial intelligence (AI) is causing a paradigm change in many fields. Its
practical utilization, however, especially in safety-critical applications like medicine, remains …

The intelligent segmentation of high-resolution remote sensing (HRS) image, also called as
dense prediction task for HRS image, has been and will continue to be important research in …