Visual Inspection Of Potential Exocomet Transits Identified Through Machine Learning And Statistical Methods
Step-by-step procedure of the transit encapsulation in the TIC 020209388 light curve. The X-axis and Y-axis specify time in days...
Learning methods
Quantum Control Leap Simplifies Tasks From Machine Learning To Error Correction
Researchers are increasingly focused on extending control from completely positive and trace-preserving (CPTP) maps to Hermitian-preserving and trace-preserving (HPTP) maps,...
Enhancing Arabic healthcare fake news detection with data augmentation and multi-metric analysis using large language models
Augmentation techniques are applied to generate new tweets based on the training data. Generated tweets retain the same labels as...
Cross-Continental AI Partnership Revolutionizes Drug Discovery Through Machine Learning Framework
A groundbreaking collaboration between researchers at The Ohio State University and the Indian Institute of Technology Madras has produced an...
On the Possibility of Small Networks for Physics-Informed Learning
Introduction in the period of 2017-2019, physics-informed neural networks (PINNs) have been a very popular area of research in the...
An adaptive, continuous-learning framework for clinical decision-making from proteome-wide biofluid data
The ADAPT-MS frameworkCurrent clinical proteomics pipelines rely on a rigid multi-step process: biomarker discovery is performed in a case–control cohort,...
