The potential of AI to develop innovative applications that can benefit healthcare
professionals and patients has created interest, especially in Medical Device Software …

Using digital data gathering and analytics in healthcare brings benefits and risks to patients
and practitioners. Smart Health Information Systems, such as Clinical Decision Support …

Despite the challenges around incorporating Artificial Intelligence into business processes,
AI is revolutionizing the way companies are doing business. The biggest business and …

One-pixel attack is a curious way of deceiving neural network classifier by changing only
one pixel in the input image. The full potential and boundaries of this attack method are not …

It is clear that businesses want to reduce their reliance on a centralized data center without
sacrificing the efficiency of their regionally dispersed database, application, and user …

In recent years, the global medical community has endeavored to provide swift and efficient
patient care by leveraging real-time patient databases. However, the efficacy of these …

Abstract Machine learning (ML) and big data analytics (BDA) have emerged as powerful
technologies for extracting valuable information from the large amount of data generated by …

Adversarial machine learning manipulates datasets to mislead machine learning algorithm
decisions. We propose a new approach able to detect adversarial attacks, based on …

Battery health monitoring methods including machine learning (ML) models rely on
trustworthiness of battery sensor data and features. As more battery systems require network …

This chapter has the focus on the technological evolution of edge computing, edge
intelligence, and their security implications. The chapter provides an overview of edge …