Autonomous delivery robots (ADRs) as green last-mile delivery alternatives to traditional
vans have received much attention due to the rapid development of Physical Internet (PI) …

This research work presents a depleted demand inventory model with constant
deterioration. The rate of change of demand is assumed to be a time-dependent function …

Fault diagnosis models based on machine learning are often subjected to degradation in
performance when dealing with data that are differently distributed than the training data …

Stable fault self-healing ensures the smooth operation of intelligent industrial manufacturing
processes. However, current research, while capable of inferring fault propagation paths or …

In recent years, with the rapid growth of the digital currency industry, blockchain technology
has attracted wide attention, and its research mostly focuses on the protection of economic …

La presente tesis doctoral aborda el estudio de la solución del problema de agrupamiento.
La solución a este problema busca dividir un conjunto de datos en grupos, donde los …

Abstract Machine Learning (ML) has brought about a transformative era in reactor
operations, reshaping monitoring, control, and optimization strategies. This survey …

Abstract The field of Artificial Immune Systems (AIS) is not a new one. Over the years, we
have seen studies across multiple domains trying to leverage these technologies to improve …

The role of cybersecurity in creating reliable and trustworthy artificial intelligence systems is
especially important, as attackers conduct more and more diverse and large-scale computer …

Роль кибербезопасности в создании надежных и заслуживающих доверия систем
искусственного интеллекта особенно важна, так как злоумышленники проводят все …