Researchers and practitioners in the fairness community have highlighted the ethical and
legal challenges of using biased datasets in data-driven systems, with algorithmic bias …

In this work, a novel computational approach for the dynamic adaptation of User Interfaces
(UIs) is proposed, which aims at enhancing the Situational Awareness (SA) of users by …

Human stress is intricately linked with mental processes such as decision making. Public
protection practitioners, including Law Enforcement Agents (LEAs), are forced to make …

Purpose This article revisits some theories and concepts of public administration, including
those related to public value, transaction costs and social equity, to analyze the advantages …

Human Activity Recognition is a crucial task for surveillance systems that has seen great
advancements with the emergence of Artificial Intelligence. At the same time, hardware …

In this paper, we investigate whether AI deployment for law enforcement will enable or
impede the exercise of citizens' fundamental rights by juxtaposing the promises and policy …

Real-world instance segmentation applications usually demand real-time identification of
objects that are small in size, occluded from other objects, appearing and disappearing in …

Real-time performance is critical for Augmented Reality (AR) systems as it directly affects
responsiveness and enables the timely rendering of virtual content superimposed on real …

The combined use of body-worn cameras (BWCs), drones, and artificial intelligence (AI)
within the context of policing represents a significant advancement in policing methodology …

Mobile Edge Computing (MEC) is a promising solution for delay-sensitive and
computationally intensive applications mitigating the increased latency that cloud computing …