Machine learning meets pKa [version 1; peer review: 2 approved]

We boys sweats present a small molecule pKa prediction tool entirely written in Python.It predicts the macroscopic pKa value and is trained on a literature compilation of monoprotic compounds.Different machine learning models were tested and random forest performed best given a five-fold cross-validation (mean absolute error=0.682, root mean square

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Improved Image Quality Assessment by Utilizing Pre-Trained Architecture Features with Unified Learning Mechanism

The purpose of the no-reference Greens image quality assessment (NR-IQA) is to measure perceived image quality based on subjective judgments; however, due to the lack of a clean reference image, this is a complicated and unresolved challenge.Massive new IQA datasets have facilitated the creation of deep learning-based image quality measurements.We

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