Cerca risorse accademiche

The rapid evolution of sustainability legislation, including the CSDDD and CSRD, has created a complex dual mandate for modern enterprises. Organizations are now required to provide granular transparency into their suppl...

This research addresses the growing concern of balancing personalized services with data privacy in the ride-hailing industry. While personalized pricing and matching strategies, fueled by travelers’ personal data, can...

The development of digital technologies, capable of analysing massive amounts of data, has led to the widespread implementation of data processing technologies and automated decision-making processes in many areas of hum...

El objetivo de esta obra es difundir investigaciones académicas sobre las recientes transformaciones que experimentan instituciones tradicionales del derecho civil la propiedad y la responsabilidad en el ámbito del der...

Materie / parole chiave: Derecho; Defensa de Menores

Abstract Federated Learning (FL) has been widely used in Internet of Things (IoT) environments as a promising decentralized framework capable of collaborative model training without exposing local data. Despite its advan...

Aim: This study was conducted to examine the relationship between the ethical values of students enrolled in health programs who are receiving clinical training in a hospital setting and patient privacy. Method: The rese...

Abstract While multi-access edge computing (MEC) enables flexible task offloading, the inherent dynamism and complexity of real-world environments, accompanied by various uncertainties, exacerbate the challenges in offlo...

Abstract Object classification in decentralized environments is critically hindered by data heterogeneity and privacy constraints, which cause models to learn spurious, client-specific correlations rather than generaliza...

The (static) traffic assignment (TA) problem, which computes network equilibrium flows from origin–destination (OD) demand under flow conservation, is central to transportation modeling. As multimodal transportation sy...

The emergence of the Metaverse as a persistent, immersive, and interoperable digital ecosystem introduces system-level challenges in identity management, security, and privacy protection across networked extended reality...

Tehran Privacy is home to nearly 16 million people. This privacy has been local until now to attack the land grabbers and the invasion of the poor and even some official organizations in the form of cooperatives that the...

Warren and Brandeis’ article, written more than 130 years ago, laid the foundation of the right to privacy. It mainly comprises two parts: the first is a condemnation against yellow journalism and the second is a compe...

Travel behavior analysis provides critical insights to enhance the intelligence of transportation systems, enabling more accurate and efficient management of mobility services. However, it requires centralizing user-sens...

Artificial intelligence (AI) is increasingly integrated into accounting, automating tasks such as data processing, risk assessment and financial reporting. While AI offers efficiency gains, it raises ethical and data pri...

Abstract BackgroundAs Saudi Arabia aims to enhance the adoption and utilization of mobile health (mHealth) apps in the health care sector, it is vital to identify the potential challenges that may be faced in...

Abstract The rapid proliferation of wireless body area networks (WBANs) has intensified the need for architectures that simultaneously guarantee quantum-resistant security, patient privacy, and clinical-grade diagnostic ...

Abstract The increasing adoption of Industrial Internet of Things (IIoT) devices introduces significant cybersecurity and privacy challenges, particularly anomaly detection and secure data sharing. This study presents Se...

People are increasingly reliant on the internet for communication and various devices in their daily lives. The Internet of Things (IoT) has dramatically changed many industries by allowing more automation and easy data ...

The power system event detection process must accelerate and become more precise with increasing penetration of renewable energy systems into the grid. The authors discuss a federated learning LSTM (FL-LSTM) that serves ...

Abstract Smart home networks are a rapidly evolving part of the Internet of Things (IoT), where connected devices exchange information to automate energy use, enhance comfort, and improve user safety. Despite their benef...

Federated Learning (FL) has emerged as a privacy-preserving distributed learning paradigm that enables collaborative model training without sharing raw data. Despite its advantages, ensuring trustworthy FL deployment rem...

The protection of personality and the legal aspects of maintaining professional secrecy have a complicated history of development in many countries of the world. The evolvement of privacy rights and the protection of pro...

Materie / parole chiave: MORALES PRATS, FERMIN; DESTINO; 345.05 M828t