Modern approach to artificial intelligence (AI) aims to design algorithms that learn directly
from data. This approach has achieved impressive results and has contributed significantly …

Cancer is one of the biggest medical challenges we face today. It is characterized by
abnormal, uncontrolled growth of cells that can spread to different parts of the body. Cancer …

The design choices underlying machine-learning (ML) models present important barriers to
entry for many biologists who aim to incorporate ML in their research. Automated machine …

Deep learning methods have relevant applications in crack detection in buildings. However,
one of the challenges in this field is the hyperparameter tuning process for convolutional …

The accurate classification of non-coding RNA (ncRNA) sequences is pivotal for advanced
non-coding genome annotation and analysis, a fundamental aspect of genomics that …

The COVID-19 pandemic has underscored the critical importance of effective vaccines, yet
their development is a challenging and demanding process. It requires identifying antigens …

This paper proposes a systematic approach for the seismic design of 2D concrete dams. As
opposed to the traditional design method which does not optimize the dam cross-section …

Cloud detection is a pivotal satellite image pre-processing step that can be performed on
board a satellite to tag useful images. It can reduce the amount of data to downlink by …

As a main subtype of post-translational modification (PTM), protein lysine acylations (PLAs)
play crucial roles in regulating diverse functions of proteins. With recent advancements in …

Abstract RNA modification, N4-acetylcytidine (ac4C), is enzymatically catalyzed by N-
acetyltransferase 10 (NAT10) and plays an essential role across tRNA, rRNA, and mRNA. It …