Results 1 to 10 of about 82 (76)

Automatic classification of autism spectrum disorder in children using cortical thickness and support vector machine. [PDF]

Brain Behav, 2021
Abstract Objective Autism spectrum disorder (ASD) is a neurodevelopmental condition with a heterogeneous phenotype. The role of biomarkers in ASD diagnosis has been highlighted; cortical thickness has proved to be involved in the etiopathogenesis of ASD core symptoms.
Squarcina L, Nosari G, Marin R, Castellani U, Bellani M, Bonivento C, Fabbro F, Molteni M, Brambilla P.   +8 more
europepmc   +2 more sources

Synbiotic Administration of d-Tagatose and <i>Lacticaseibacillus casei</i> ATCC 393 Improves Hyperlipidemia in BALB/c Mice by Modulating Gut Microbiota and Metabolic Parameters. [PDF]

Food Sci Nutr
In this study, hyperlipidemia was experimentally induced in BALB/C mice through a high‐fat, high‐cholesterol diet, followed by administration of a probiotic (Lacticaseibacillus casei ATCC 393), a prebiotic (d‐tagatose), and their synbiotic combination. The synbiotic treatment significantly reduced serum glucose, total cholesterol, triglyceride, and HDL
Cavdar M, Nogay NH, Dincer E, Karabulut D, Onal MG, Bolat S.   +5 more
europepmc   +2 more sources

Predicting Autism Spectrum Disorder in Children Using Glowworm Optimization With Extreme Learning Machine Networks. [PDF]

Brain Behav
The proposed framework for ASD detection has been illustrated. The process begins with dataset collection and preprocessing, followed by feature selection and hyperparameter optimization using GSO. The optimized features are classified through an ELM classifier, yielding high accuracy, fast convergence, and low computational cost for reliable ASD ...
Govindarajan V, Dutta AK, Shaikh ZA, Yousef A, Anjum M, Shahab S.   +5 more
europepmc   +2 more sources

Inspecting Decorative Ceramic Defects by Fusing Convolutional Neural Network and Image Recognition.

Comput Intell Neurosci, 2022
The intelligent inspection of ceramic decorative defects is one of the hot research at present. This work aims to improve the defect inspection automation of finished decorative ceramic workpieces. First, it introduces the multi‐target detection algorithm and compares the performance of different network models on the public data set.
Jin K, Wang C.
europepmc   +2 more sources

Abstracts of papers presented at the 1996 Pittsburgh Conference. [PDF]

J Automat Chem, 1996
Journal of Analytical Methods in Chemistry, Volume 18, Issue 3, Page 71-114, 1996.
europepmc   +2 more sources

Stakeholder consensus suggests strategies to promote sustainability in an artisanal fishery with high rates of poaching and marine mammal bycatch

People and Nature, Volume 5, Issue 4, Page 1187-1206, August 2023., 2023
Abstract Illegal fishing for high value species in artisanal fisheries drives incidental catch and declines of marine mammals and other large vertebrates of conservation importance around the world. Engaging with stakeholders is essential to understand which strategies will be effective in motivating the development of more sustainable practices, and ...
Linas Svolkinas, George Holmes, Lilia Dmitrieva, Ilya Ermolin, Pavel Suvorkov, Simon J. Goodman   +5 more
wiley   +1 more source

COMMUNICATION PASSPORT OF THE LINGUOCULTURAL TYPE “ASTRAKHAN NATIVE SPEAKERS OF THE NOGAI AND RUSSIAN LANGUAGES OF YOUNG GENERATION” [PDF]

Philology. Theory & Practice, 2018
The article is written in the framework of linguistic communication science and linguistic personology. Among the peculiarities of communicative behaviour, native bilinguals’ communicative behaviour stands out, which can reflect the language situation in certain spatial and time boundaries.
openaire   +1 more source

Issue Information

, 2023
Acta Obstetricia et Gynecologica Scandinavica, Volume 102, Issue 12, Page 1603-1605, December 2023.
wiley   +1 more source

Natural language processing‐based deep transfer learning model across diverse tabular datasets for bond strength prediction of composite bars in concrete

Computer-Aided Civil and Infrastructure Engineering, Volume 40, Issue 7, Page 917-939, 10 March 2025.
Abstract As conventional machine learning models often struggle with scarcity and structural variation of training data, this paper proposes a novel regression transfer learning framework called transferable tabular regressor (TransTabRegressor) to address this challenge.
Pei‐Fu Zhang, Daxu Zhang, Xiao‐Ling Zhao, Xuan Zhao, Mudassir Iqbal, Yiliyaer Tuerxunmaimaiti, Qi Zhao   +6 more
wiley   +1 more source

Heterogeneity‐oriented ensemble learning for rail monitoring based on vehicle‐body vibration

Computer-Aided Civil and Infrastructure Engineering, Volume 39, Issue 12, Page 1766-1794, 15 June 2024.
Abstract In this study, railway vehicle‐body vibration was applied to rail detection for convenient sensor deployment and cost‐effectiveness. However, the waveform is difficult to analyze due to damping and interference. Data‐driven methods can help concatenate multidimensional signals and complex rail‐surface irregularities but are impressionably ...
Yong Zhuang, Rengkui Liu, Yuanjie Tang
wiley   +1 more source