Artificial intelligence (AI) is having a growing impact in many areas related to drug discovery.
However, it is still critical for their adoption by the medicinal chemistry community to achieve …

Abstract Machine learning (ML) has achieved substantial success in performing healthcare
tasks in which the configuration of every part of the ML pipeline relies heavily on technical …

There is an ongoing need for scientific analysis to help governments and public health
authorities make decisions regarding the COVID-19 pandemic. This article presents a …

Engineered nanomaterials (ENMs) are increasingly infiltrating our lives as a result of their
applications across multiple fields. However, ENM formulations may result in the modulation …

As árvores de decisão são modelos hierárquicos utilizados em várias áreas do
conhecimento por sua capacidade preditiva e de resolução de problemas de maneira …

摘要充分利用烧结机尾断面的火焰图像所蕴含的有效信息, 利用随机森林算法对烧结状态进行
短期预测, 该算法在工程上具有可行性. 为改善随机森林中重要性较低的属性对分类结果的影响 …

The existing default discrimination models based on evaluation indicators are difficult to
achieve higher credit risk identification performance of farmers' default status under the …

The modes of action (MoAs) of drugs frequently are unknown, because many are small
molecules initially identified from phenotypic screens, giving rise to the need to elucidate …

The need for a scienti c approach that can provide subsidies to governments and public
health authorities in decision making to face pandemics, epidemics and endemics was one …

The need for a scientific approach that can provide subsidies to governments and public
health authorities in decision making to face pandemics, epidemics and endemics was one …