The integration of embedded systems in medical devices has revolutionized the healthcare
landscape in the United States, fostering advancements in patient care, diagnostics, and …

With the advancement of prediction methods in the field of artificial intelligence, accurate
price predictions can effectively support financial portfolio selection. This paper proposes an …

Recent advancements in deep learning (DL) have played a crucial role in aiding experts to
develop personalized healthcare services, particularly in drug response prediction (DRP) for …

The setting of parameter values will directly affect the performance of the neural network,
and the manual parameter tuning speed is slow, and it is difficult to find the optimal …

Current methods used in cell culture monitoring, characterisation and handling are manual,
time consuming and highly dependent on subjective observations made by human …

The increased use of social media has transformed how people share information. In the
voluminous social media content, tweets involving criminal activity have increased. The …

Software development projects are prone to bugs that can hinder the development process
and delay software release. Among the most critical bugs are blocking bugs (BB), which …

In recent years, there has been a substantial amount of research dedicated to using Deep
Learning (DL) methods for the classification of Alzheimer's disease (AD) and other related …