Researchers from Tokyo Metropolitan University have developed a suite of algorithms to automate the counting of sister ...
Background Annually, 4% of the global population undergoes non-cardiac surgery, with 30% of those patients having at least ...
This important study introduces a new biology-informed strategy for deep learning models aiming to predict mutational effects in antibody sequences. It provides solid evidence that separating ...
Learning platform reaffirms commitment to accessible education, offering parents, teachers and schools one of the best free learning resource libraries. Education should never be a luxury item. Every ...
Educational Voice explores the trends driving animated learning content across schools, corporate training, and healthcare Research consistently shows that learners retain significantly more ...
This important study reports three experiments examining how the subjective experience of task regularities influences perceptual decision-making. Although the evidence linking subjective ratings to ...
Abstract: A generative deep learning (GDL)-enabled approach is developed for the multi-objective synthesis of dual-polarized, wide-angle loop-family frequency selective surfaces (FSSs) by proposing a ...
Abstract: Constraint-handling techniques and genetic operators are two crucial components in constrained multi-objective evolutionary algorithms (CMOEAs). Recent research in most of CMOEAs has ...