|
|
|
Dimitris Papadopoulos and Vangelis D. Karalis
Sample size is a key factor in bioequivalence and clinical trials. An appropriately large sample is necessary to gain valuable insights into a designated population. However, large sample sizes lead to increased human exposure, costs, and a longer time f...
ver más
|
|
|
|
|
|
Gerard Emile Lawler, Fabio Bosco, Martina Carillo, Atsushi Fukasawa, Zenghai Li, Nathan Majernik, Yusuke Sakai, Sami Tantawi, Oliver Williams, Monika Yadav and James Rosenzweig
Future electron accelerator applications such as X-ray free electron lasers and colliders are dependent on significantly increasing beam brightness. With the observation that linac beam manipulation?s best preservation of max brightness is at the cathode...
ver más
|
|
|
|
|
|
Jinhong Wu, Konstantinos Plataniotis, Lucy Liu, Ehsan Amjadian and Yuri Lawryshyn
Synthetic data, artificially generated by computer programs, has become more widely used in the financial domain to mitigate privacy concerns. Variational Autoencoder (VAE) is one of the most popular deep-learning models for generating synthetic data. Ho...
ver más
|
|
|
|
|
|
Inês Oliveira, Vítor Carvalho, Filomena Soares, Paulo Novais, Eva Oliveira and Lisa Gomes
In recent years, the role of emotions in digital games has gained prominence. Studies confirm emotions? substantial impact on gaming, influencing interactions, effectiveness, efficiency, and satisfaction. Combining gaming dynamics, Virtual Reality (VR) a...
ver más
|
|
|
|
|
|
Yunus Emre Orhan, Harun Pirim and Yusuf Akbulut
This study examines how U.S. senators strategically used hashtags to create political communities on Twitter during the 2022 Midterm Elections. We propose a way to model topic-based implicit interactions among Twitter users and introduce the concept of B...
ver más
|
|
|