Rapid identification of tea quality by E-nose and computer vision combining with a synergetic data fusion strategy

M Xu, J Wang, S Gu - Journal of Food Engineering, 2019 - Elsevier
This research demonstrates a rapid detection method of jointly using electronic nose (E-
nose) and computer vision system (CVS) to detect tea aroma and tea appearance for tea …

Recent advances on penalized regression models for biological data

P Wang, S Chen, S Yang - Mathematics, 2022 - mdpi.com
Increasingly amounts of biological data promote the development of various penalized
regression models. This review discusses the recent advances in both linear and logistic …

Detecting depression using an ensemble logistic regression model based on multiple speech features

H Jiang, B Hu, Z Liu, G Wang, L Zhang… - … methods in medicine, 2018 - Wiley Online Library
Early intervention for depression is very important to ease the disease burden, but current
diagnostic methods are still limited. This study investigated automatic depressed speech …

A multidomain bio-inspired feature extraction and selection model for diabetic retinopathy severity classification: An ensemble learning approach

P Uppamma, S Bhattacharya - Scientific Reports, 2023 - nature.com
Diabetes retinopathy (DR) is one of the leading causes of blindness globally. Early detection
of this condition is essential for preventing patients' loss of eyesight caused by diabetes …

Temporal trends in the Swedish HIV-1 epidemic: increase in non-B subtypes and recombinant forms over three decades

U Neogi, A Häggblom, M Santacatterina, G Bratt… - PloS one, 2014 - journals.plos.org
Background HIV-1 subtype B (HIV-1B) still dominates in resource-rich countries but
increased migration contributes to changes in the global subtype distribution. Also, spread of …

Syntactic complexity in adapted extracurricular reading materials

L Lei, Y Shi - System, 2023 - Elsevier
Extracurricular reading is important for language learning since it is not just beneficial for
vocabulary and grammar acquisition, but also useful for other aspects such as reading …

Assessment of IrisPlex-based multiplex for eye and skin color prediction with application to a Portuguese population

P Dario, H Mouriño, AR Oliveira, I Lucas… - International journal of …, 2015 - Springer
DNA phenotyping research is one of the most emergent areas of forensic genetics.
Predictions of externally visible characteristics are possible through analysis of single …

The multinomial logistic regression model for predicting the discharge status after liver transplantation: estimation and diagnostics analysis

EM Hashimoto, EMM Ortega, GM Cordeiro… - Journal of Applied …, 2020 - Taylor & Francis
The multinomial logistic regression model (MLRM) can be interpreted as a natural extension
of the binomial model with logit link function to situations where the response variable can …

Logistic regression ensemble for predicting customer defection with very large sample size

H Kuswanto, A Asfihani, Y Sarumaha… - Procedia Computer …, 2015 - Elsevier
Predicting customer defection is an important subject for companies producing cloud based
software. The studied company sell three products (High, Medium and Low Price), in which …

Machine learning prediction of the failure of high-flow nasal oxygen therapy in patients with acute respiratory failure

Z Wang, Y Chao, M Xu, W Zhao, X Hu - Scientific Reports, 2024 - nature.com
Acute respiratory failure (ARF) is a prevalent and serious condition in intensive care unit
(ICU), often associated with high mortality rates. High-flow nasal oxygen (HFNO) therapy …