New prediction methods for solubility parameters based on molecular sigma profiles using pharmaceutical materials
Sign Up to like & getrecommendations! Published in 2018 at "International Journal of Pharmaceutics"
DOI: 10.1016/j.ijpharm.2018.05.033
Abstract: Graphical abstract Figure. No Caption available. &NA; Solubility parameters have been applied extensively in the chemical and pharmaceutical sciences. Particularly attractive is calculation of solubility parameters based on chemical structure and recently, new in silico… read more here.
Keywords: silico methods; new prediction; parameters based; solubility ... See more keywords
Estimation of material parameters based on precipitate shape: efficient identification of low-error region with Gaussian process modeling
Sign Up to like & getrecommendations! Published in 2019 at "Scientific Reports"
DOI: 10.1038/s41598-019-52138-0
Abstract: In this study, an efficient method for estimating material parameters based on the experimental data of precipitate shape is proposed. First, a computational model that predicts the energetically favorable shape of precipitate when a d-dimensional… read more here.
Keywords: estimation; shape; precipitate shape; parameters based ... See more keywords
Quantification of microvasculature parameters based on optoacoustic angiography data
Sign Up to like & getrecommendations! Published in 2021 at "Laser Physics Letters"
DOI: 10.1088/1612-202x/abe2b3
Abstract: Optoacoustic (OA) angiography allows high-contrast three-dimensional (3D) visualization of hemoglobin-containing structures ranging from micrometers to millimeters. However, due to the large amount of 3D data acquired by modern high-throughput OA systems the resulting OA vasculature… read more here.
Keywords: angiography; quantification microvasculature; optoacoustic angiography; parameters based ... See more keywords
Robust Detection of Fatigue Parameters Based on Infrared Information
Sign Up to like & getrecommendations! Published in 2021 at "IEEE Access"
DOI: 10.1109/access.2021.3052770
Abstract: Driver fatigue is one of the major causes of traffic accidents, and this need has increased the amount of driver fatigue detection systems in vehicles in order to reduce human and material losses. This work… read more here.
Keywords: fatigue; robust detection; parameters based; fatigue parameters ... See more keywords
Inversion of P-Band Electromagnetic Parameters Based on a Genetic Algorithm and Method of Moments
Sign Up to like & getrecommendations! Published in 2022 at "IEEE Access"
DOI: 10.1109/access.2022.3174851
Abstract: Considering the difficulty in measuring the P-band electromagnetic parameters of porous materials such as graphene foam (GF), this paper proposes a free-space frequency-domain technology to measure the electrical properties of finite-plate materials from multiple perspectives.… read more here.
Keywords: band electromagnetic; parameters based; genetic algorithm; method ... See more keywords
Multiple QoS Parameters-Based Routing for Civil Aeronautical Ad Hoc Networks
Sign Up to like & getrecommendations! Published in 2017 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2017.2669993
Abstract: Aeronautical ad hoc network (AANET) can be applied as in-flight communication systems to allow aircraft to communicate with the ground, in complement to other existing communication systems to support Internet of Things. However, the unique… read more here.
Keywords: based routing; mqspr; parameters based; path ... See more keywords
iFIT: An automated web tool for determining enzyme-kinetic parameters based on the high-curvature region of progress curves.
Sign Up to like & getrecommendations! Published in 2022 at "Acta chimica Slovenica"
DOI: 10.17344/acsi.2022.7359
Abstract: The area where progress curve exhibits maximum curvature contains the most information about kinetic parameters. To determine these parameters more accurately from progress curves, we propose an iterative approach that calculates the area of maximum… read more here.
Keywords: kinetic parameters; ifit automated; progress curves; curvature ... See more keywords
Deep Learning Method for Estimation of Morphological Parameters Based on CT Scans.
Sign Up to like & getrecommendations! Published in 2023 at "Studies in health technology and informatics"
DOI: 10.3233/shti230142
Abstract: In this study, we propose a Convolutional Neural Network (CNN) with an assembly of non-linear fully connected layers for estimating body height and weight using a limited amount of data. This method can predict the… read more here.
Keywords: morphological parameters; method estimation; learning method; deep learning ... See more keywords