Neural networks have proven to be a highly effective tool for solving complex problems in
many areas of life. Recently, their importance and practical usability have further been …

The precise prostate gland and prostate cancer (PCa) segmentations enable the fusion of
magnetic resonance imaging (MRI) and ultrasound imaging (US) to guide robotic prostate …

Introduction The Common Agricultural Policy (CAP) is a vital policy framework implemented
by the European Union to regulate and support agricultural production within member …

A simply implemented activation function with even cubic nonlinearity is introduced that
increases the accuracy of neural networks without substantial additional computational …

In this study, an experimental and simulation-based approach is used to evaluate the yield
stress of integrated circuit (IC) industry-relevant thin film materials. An artificial neural …

Quantitative phase imaging (QPI) is a valuable tool for investigating weakly absorbing
specimens, such as cells and tissues. Digital holographic microscopy (DHM), as a classical …

The use of Traditional Chinese Medicine spans thousands of years, yet its integration into
modern pharmaceutical research has been limited. A major challenge is the lack of …

Abstract The use of Traditional Chinese Medicine spans thousands of years, yet its
integration into modern pharmaceutical research has been limited [1]. A major challenge is …

Deep learning and deep neural networks have been buzz-words for the past several years.
51, 52 After being sidetracked for a long time, the time was right for the self-learning …

This thesis is concerned with the topic of person re-identification. Many tracking algorithms
today cannot keep track of players reentering the scene from different angles and times …