Securing privacy in machine learning via collaborative data sharing is essential for
organizations seeking to harness collective data while upholding confidentiality. This …

The rapid advancement of artificial intelligence (AI) systems, fueled by extensive research
and development investments, has ushered in a new era where AI permeates decision …

This research paper explores the application of deep learning techniques in the field of
medical imaging for image reconstruction. The primary goal is to improve the quality of …

Data preprocessing is a crucial step in the data mining and machine learning pipeline,
involving the transformation of raw data into a format suitable for analysis. This paper …

The pharmaceutical industry faces significant challenges in drug discovery and
development, with clinical trials being a crucial yet time-consuming and expensive phase. AI …

Collaboration is a cornerstone of productivity and innovation in various domains, ranging
from business to academia. As technology continues to advance, the design of collaborative …

To assure the functioning of such semi-autonomous systems, it is vital for the operator to
cooperate efficiently with both the vehicular human-machine interface (HMI) and the security …

Data visualization plays a crucial role in understanding complex datasets, enabling insights
that are otherwise challenging to uncover. This paper explores various data visualization …

In the case of the smart attack, it is shown that for even highly secure DAF designs, drivers
can be impersonated through emulation and cloning. Another research gap highlighted is …

The question of how to validate, measure and evaluate the performance adequation by
human with the interface, in order to ascribe the interfaces a third anticipated level by the …