An optimised logical topology facilitates the sensors of a network to communicate with each other with little overheads, lower energy consumption, and reduced latency.It also lengthens the lifetime of the network, provides scalability, and increases reliability in communications.However, Dining Room Set designing an optimal logical topology for wir
On Evaluating Black-Box Explainable AI Methods for Enhancing Anomaly Detection in Autonomous Driving Systems
The recent advancements in autonomous driving come with the associated cybersecurity issue of compromising networks of autonomous vehicles (AVs), motivating the use of AI models for detecting anomalies on these networks.In this context, the usage of explainable AI (XAI) for explaining the behavior of these anomaly detection AI models is crucial.Thi
Testing the effect of medical positive reinforcement training on salivary cortisol levels in bonobos and orangutans.
The management of captive animals has been improved by the establishment of positive reinforcement training as a tool to facilitate interactions between caretakers and animals.In great apes, positive reinforcement training has also been used to train individuals to participate in simple medical procedures to monitor physical health.One aim of posit
Growth and Characterization of Carbon Nanofibers Grown on Vertically Aligned InAs Nanowires via Chemical Vapour Deposition
The integration of carbon nanostructures with semiconductor nanowires holds significant potential for energy-efficient integrated circuits.However, achieving precise control over the positioning and stability of these interconnections poses a major challenge.This study presents a method for the controlled growth of carbon nanofibers (CNFs) on verti