People who often communicate via sign language are essential to our society and
significantly contribute. They struggle with communication mostly because other people …

While federated learning (FL) is a well-known privacy-preserving (PP) solution, recent
studies demonstrate that it still has privacy problems and vulnerabilities, particularly in the …

Vehicle detection is an important component of intelligent transportation systems and
autonomous driving. However, in real-world vehicle detection scenarios, the presence of …

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 …

Abstract The Internet of Things (IoT) has been used in various aspects. Fundamental
security issues must be addressed to accelerate and develop the Internet of Things. An …

Abstract Drug Supply Chain Management (DSCM) can be one of the most affected streams
in healthcare due to pandemics. The delivery of medicine to patients through DSCM is a …

Deep Neural Networks (DNN) has been widely applied in big data-driven Internet of Things
(IoT) for excellent learning ability, while the black-box nature of DNN leads to uncertainty of …

Air transportation is vital due to technological advancements and globalization. It is
affordable and accessible worldwide, providing efficient services to reach destinations …

To limit the adverse effects of diabetes, a personalized and long-term management strategy
that includes appropriate medication, exercise and diet has become of paramount …

In order to improve the flight efficiency of a flying–walking power transmission line inspection
robot (FPTLIR) during flight missions, an accurate energy consumption model is constructed …