Bioactive protein/peptides of flaxseed: A review

S Wu, X Wang, W Qi, Q Guo - Trends in Food Science & Technology, 2019 - Elsevier
Background Flaxseed meal, the de-oiled by-product of flaxseed processing, has been
extensively studied as a rich source of protein (with protein content up to 40%). Flaxseed …

River water quality index prediction and uncertainty analysis: A comparative study of machine learning models

SBHS Asadollah, A Sharafati, D Motta… - Journal of environmental …, 2021 - Elsevier
Abstract The Water Quality Index (WQI) is the most common indicator to characterize surface
water quality. This study introduces a new ensemble machine learning model called Extra …

Spatiotemporal-aware machine learning approaches for dissolved oxygen prediction in coastal waters

W Liang, T Liu, Y Wang, JJ Jiao, J Gan, D He - Science of The Total …, 2023 - Elsevier
Coastal waters face increasing threats from hypoxia, which can have severe consequences
for marine life and fisheries. This study aims to develop a machine learning approach for …

An extra tree regression model for discharge coefficient prediction: novel, practical applications in the hydraulic sector and future research directions

MM Hameed, MK AlOmar, F Khaleel… - Mathematical …, 2021 - Wiley Online Library
Despite modern advances used to estimate the discharge coefficient (Cd), it is still a major
challenge for hydraulic engineers to accurately determine Cd for side weirs. In this study …

A study on sex estimation by using machine learning algorithms with parameters obtained from computerized tomography images of the cranium

S Toy, Y Secgin, Z Oner, MK Turan, S Oner, D Senol - Scientific Reports, 2022 - nature.com
The aim of this study is to test whether sex prediction can be made by using machine
learning algorithms (ML) with parameters taken from computerized tomography (CT) images …

[HTML][HTML] Early prediction of acute xerostomia during radiation therapy for nasopharyngeal cancer based on delta radiomics from CT images

Y Liu, H Shi, S Huang, X Chen, H Zhou… - … imaging in medicine …, 2019 - ncbi.nlm.nih.gov
Background Acute xerostomia is the most common side effect of radiation therapy (RT) for
head and neck (H&N) malignancies. Investigating radiation-induced changes of computed …

Environmentally friendly concrete compressive strength prediction using hybrid machine learning

E Mansouri, M Manfredi, JW Hu - Sustainability, 2022 - mdpi.com
In order to reduce the adverse effects of concrete on the environment, options for eco-
friendly and green concretes are required. For example, geopolymers can be an …

Precise prediction of metabolites patterns using machine learning approaches in distinguishing honey and sugar diets fed to mice

X Zheng, F Pan, N Naumovski, Y Wei, L Wu, W Peng… - Food Chemistry, 2024 - Elsevier
As a natural sweetener produced by honey bees, honey was recognized as being healthier
for consumption than table sugar. Our previous study also indicated that metabolite profiles …

CNN-based severity prediction of neurodegenerative diseases using gait data

Ç Berke Erdaş, E Sümer, S Kibaroğlu - Digital Health, 2022 - journals.sagepub.com
Neurodegenerative diseases occur because of degeneration in brain cells but can manifest
as impairment of motor functions. One of the side effects of this impairment is an abnormality …

Estimating the dissolution of anticancer drugs in supercritical carbon dioxide with a stacked machine learning model

M Najmi, MA Ayari, H Sadeghsalehi, B Vaferi… - Pharmaceutics, 2022 - mdpi.com
Synthesizing micro-/nano-sized pharmaceutical compounds with an appropriate size
distribution is a method often followed to enhance drug delivery and reduce side effects …