Federated learning (FL) is a collaborative artificial intelligence (AI) approach that enables distributed training of AI models without data sharing, thereby promoting privacy by design …
A Khan, NZ Jhanjhi, HAHBH Omar… - … Measures for Logistics …, 2024 - igi-global.com
Transportation and warehousing are vital components of logistics corporations. Their continuous uninterrupted functioning is of paramount significance for the enterprises …
AYAB Ahmad, N Verma, N Sarhan, EM Awwad… - IEEE …, 2024 - ieeexplore.ieee.org
The process of controlling the flow of products and services from a company by encompassing each stage involved in transforming raw materials and parts into finished …
Recent literature highlights a significant cross-impact between transfer learning and cybersecurity. Many studies have been conducted on using transfer learning to enhance …
P Khordadpour, S Ahmadi - arXiv preprint arXiv:2403.01356, 2024 - arxiv.org
The integration of blockchain technology in Internet of Things (IoT) environments is a revolutionary step towards ensuring robust security and enhanced privacy. This paper …
AM Ruzbahani - arXiv preprint arXiv:2405.13831, 2024 - arxiv.org
The increasing demand for electricity, coupled with the rise in greenhouse gas emissions, necessitates the integration of Renewable Energy Sources (RESs) into power grids …
AM Ruzbahani - arXiv preprint arXiv:2405.13847, 2024 - arxiv.org
Integrating blockchain technology with the Internet of Things offers transformative possibilities for enhancing network security and privacy in the contemporary digital …
S Liao - Wireless Personal Communications, 2024 - Springer
A cyber-physical system (CPS) combines communication and computer systems with physical processes. Recent developments in wireless sensor networks (WSN), cloud …
Т Доценко, М Кузьменко - Сталий розвиток економіки, 2023 - economdevelopment.in.ua
There is a growing wave of cyber fraud in the healthcare industry. Cases of breaches of confidentiality and security, leakage, theft and breach of medical confidential data, and …