Abstract Unmanned Aerial Vehicles (UAVs) have become an integral part of modern smart
cities and systems. However, the proliferation of UAVs has also brought a significant security …

The rapid development of biosensing technologies together with the advent of deep learning
has marked an era in healthcare and biomedical research where widespread devices like …

Abstract Machine learning offers significant potential for lung cancer detection, enabling
early diagnosis and potentially improving patient outcomes. Feature extraction remains a …

Incorporating environmental, social, and governance (ESG) criteria is essential for
promoting sustainability in business and is considered a set of principles that can increase a …

Despite recent advancements in monitoring brain activity, causal relationships within the
brain during responsibility identification in construction contracts remain unexplored. We …

This paper presents object detection methods to accurately identify the sources of flame and
smoke in vast circumstances. Aerial drones collected the data, analyzed the recognition …

In brain-computer interface (BCI) systems, challenges are presented by the recognition of
motor imagery (MI) brain signals. Established recognition approaches have achieved …

Introduces the merging of the Internet of Things with cutting-edge technology, including
blockchain concepts, machine learning algorithms, and AI-based wireless connectivity …

This study presents an intelligent Decision Support System (DSS) aimed at bridging the
theoretical-practical gap in groundwater management. The ongoing demand for …

Background Health-related patient-reported outcomes (HR-PROs) are crucial for assessing
the quality of life among individuals experiencing low back pain. However, manual data …