Generally trained models to predict drug solubility in N-methyl-2-pyrrolidone + water mixtures at various temperatures
Sign Up to like & getrecommendations! Published in 2018 at "Journal of Molecular Liquids"
DOI: 10.1016/j.molliq.2018.01.043
Abstract: Abstract The trained versions of Yalkowsky and Jouyban-Acree models are proposed to predict solubility of drugs in binary aqueous mixtures of N-methyl-2-pyrrolidone (NMP) at various temperatures. To provide a full predictive model, the Abraham solvation… read more here.
Keywords: methyl pyrrolidone; trained models; generally trained; various temperatures ... See more keywords
Pre-Trained Models Based Receiver Design With Natural Redundancy for Chinese Characters
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Communications Letters"
DOI: 10.1109/lcomm.2022.3193644
Abstract: Pre-trained Models (PTMs) have reached the state-of-the-art (SOTA) on many Natural Language Processing (NLP) tasks and Computer Vision (CV) tasks, and are called the foundation models of artificial intelligence (AI) systems. In this letter, we… read more here.
Keywords: natural redundancy; trained models; receiver design; pre trained ... See more keywords
A Comprehensive Performance Analysis of Transfer Learning Optimization in Visual Field Defect Classification
Sign Up to like & getrecommendations! Published in 2022 at "Diagnostics"
DOI: 10.3390/diagnostics12051258
Abstract: Numerous research have demonstrated that Convolutional Neural Network (CNN) models are capable of classifying visual field (VF) defects with great accuracy. In this study, we evaluated the performance of different pre-trained models (VGG-Net, MobileNet, ResNet,… read more here.
Keywords: trained models; accuracy; fine tuning; visual field ... See more keywords
Assessment of Convolutional Neural Network Pre-Trained Models for Detection and Orientation of Cracks
Sign Up to like & getrecommendations! Published in 2023 at "Materials"
DOI: 10.3390/ma16020826
Abstract: Failure due to cracks is a major structural safety issue for engineering constructions. Human examination is the most common method for detecting crack failure, although it is subjective and time-consuming. Inspection of civil engineering structures… read more here.
Keywords: crack; trained models; detection orientation; convolutional neural ... See more keywords