Results 51 to 60 of about 160,280 (251)

A Positron Lifetime Study of Cooling and Natural Aging of Solutionized Aluminum Alloys

Advanced Engineering Materials, EarlyView.
The process during cooling of Al–Mg and Al–Mg–Si alloys from the solutionizing temperature down to 20 °C is interrupted. These states are analyzed with positron lifetime spectroscopy to trace the processes during cooling. In different temperature ranges, two stages of vacancy loss and solute clustering are identified.
Zi Yang, Mengjie Li, John Banhart
wiley   +1 more source

Hybrid Approach with VADER and Multinomial Logistic Regression for Multiclass Sentiment Analysis in Online Customer Review [PDF]

, 2023
Murahartawaty Arief, Noor Azah Samsudin
openalex   +1 more source

Robust and sparse multinomial regression in high dimensions

Data Mining and Knowledge Discovery, 2023
A robust and sparse estimator for multinomial regression is proposed for high dimensional data. Robustness of the estimator is achieved by trimming the observations, and sparsity of the estimator is obtained by the elastic net penalty, which is a mixture of $L_1$ and $L_2$ penalties.
Fatma Sevinç Kurnaz, Peter Filzmoser
openaire   +5 more sources

Multinomial latent logistic regression [PDF]

, 2016
University of Technology Sydney. Faculty of Engineering and Information Technology.We are arriving at the era of big data. The booming of data gives birth to more complicated research objectives, for which it is important to utilize the superior ...
Xu, Zhe
core  

Categorical data analysis using a skewed Weibull regression model

, 2017
In this paper, we present a Weibull link (skewed) model for categorical response data arising from binomial as well as multinomial model. We show that, for such types of categorical data, the most commonly used models (logit, probit and complementary log-
Caron, Renault, Dey, Dipak, Polpo, Adriano, Sinha, Debajyoti   +3 more
core   +2 more sources

Unleashing the Power of Machine Learning in Nanomedicine Formulation Development

Advanced Functional Materials, EarlyView.
A random forest machine learning model is able to make predictions on nanoparticle attributes of different nanomedicines (i.e. lipid nanoparticles, liposomes, or PLGA nanoparticles) based on microfluidic formulation parameters. Machine learning models are based on a database of nanoparticle formulations, and models are able to generate unique solutions
Thomas L. Moore, Cristiano Pesce, Antonietta Greco, Claudia Pisante, Greta Avancini, Valentina Di Francesco, Yosi Shamay, Paolo Decuzzi   +7 more
wiley   +1 more source

Impact of agricultural technology adoption on wheat productivity: Evidence from North Shewa Zone, Amhara Region, Ethiopia

Cogent Economics & Finance, 2022
Wheat is one of the most important cereal crops cultivated in wide range of agro-ecologies in Ethiopia. But, its productivity has remained low. Hence, this study intends to examine the impact of agricultural technology adoption on wheat productivity in ...
Mesele Belay Zegeye, Abebaw Hailu Fikrie, Anteneh Bizualem Asefa   +2 more
doaj   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Variable selection and updating in model-based discriminant analysis for high dimensional data with food authenticity applications [PDF]

, 2010
Food authenticity studies are concerned with determining if food samples have been correctly labelled or not. Discriminant analysis methods are an integral part of the methodology for food authentication.
Adrian, Brendan Murphy, E. Raftery, Nema Dean   +3 more
core   +6 more sources

Counterion Dependent Side‐Chain Relaxation Stiffens a Chemically Doped Thienothiophene Copolymer

Advanced Functional Materials, EarlyView.
Oxidation of a thienothiophene copolymer, p(g3TT‐T2), via different doping strategies and dopant molecules resulted in materials with similar oxidation levels and a high electrical conductivity of ≈100 S cm−1. However, mechanical properties varied significantly, with sub‐glass transition temperatures and elastic moduli spanning from –44°C to –3°C and ...
Mariavittoria Craighero, Meghna Jha, Elsa Veronica Flores‐Vela, Joost Kimpel, Andreas Schaefer, Jiali Guo, Jesika Asatryan, Alberto Peinador Veiga, Shuichi Haraguchi, Per‐Anders Carlsson, Jaime Martín, Mariano Campoy‐Quiles, Christian Müller   +12 more
wiley   +1 more source