Electrochemical detection of quercetin in fruits and vegetables using NiO/c-rGO nanocomposites DOI
Yang Liu, Tianyu Liu,

WenWen Chen

et al.

Journal of Food Measurement & Characterization, Journal Year: 2024, Volume and Issue: 18(9), P. 7374 - 7387

Published: Aug. 16, 2024

Language: Английский

Multi-load effect on the deformation analysis of composite nano reinforced origami sandwich panel DOI
Cizhen Yu, Peng Lin, Zhixin Wu

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: June 19, 2024

Graphene origami in a copper matrix is used as composition of core sandwich panel between two piezoelectric/piezomagnetic layers. More accurate modeling the composite structure performed using higher-order model including thickness stretching term. Principle virtual work order to derive governing equations terms resultant components force and moment well electromagnetic loads. The are derived framework with accounting electric magnetic potentials effective material properties graphene Halpin-Tsai rule mixture framework. deformation/strain/stress analytically obtained thermal, mechanical, electrical, loads folding degree content origami. Verification for justification numerical results. A foldability dependent parametric analysis presented show controllability stress, strain deformations along direction.

Language: Английский

Citations

17
Thermo-foldable bending analysis of tunable shells using a higher-order modeling DOI

Zhenyang Jin,

Weiji Huo,

Mostafa Habibi

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: June 25, 2024

This article investigates effect of a higher order kinematic modeling on the elasto-static bending results shell in double curved form. The graphene origami is introduced this as novel nanofiller with some chemical process to arrive at controllable material. A copper matrix used main constituent reinforced folded origami. virtual work principle derive governing equations thickness-stretchable shell. After derivation and solution, class formulas from valid sources for effective material properties verification test presented before exploring all affecting parameters ambient results. may be analysis structures responses.

Language: Английский

Citations

17
Bending-based solution methodology using eigenvalue-eigenvector approach for analysis of foldable reinforced Golf Clubs cylindrical shell DOI

Jingxian Huang,

Zhidao Pan,

Sheng Yang

et al.

Mechanics of Advanced Materials and Structures, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 14

Published: July 21, 2024

Language: Английский

Citations

17
Effective Co2+ removal from aqueous solution and industrial wastewater using ZIF-7 and MnFe2O4-modified walnut shell biochar composite DOI
Lei Yao,

Chao Hong,

Yangxu Qi

et al.

Separation and Purification Technology, Journal Year: 2024, Volume and Issue: 353, P. 128574 - 128574

Published: June 25, 2024

Language: Английский

Citations

9
A Hybrid Approach for Sports Activity Recognition Using Key Body Descriptors and Hybrid Deep Learning Classifier DOI Creative Commons
Muhammad Tayyab, Sulaiman Abdullah Alateyah,

Mohammed Alnusayri

et al.

Sensors, Journal Year: 2025, Volume and Issue: 25(2), P. 441 - 441

Published: Jan. 13, 2025

This paper presents an approach for event recognition in sequential images using human body part features and their surrounding context. Key points were approximated to track monitor presence complex scenarios. Various feature descriptors, including MSER (Maximally Stable Extremal Regions), SURF (Speeded-Up Robust Features), distance transform, DOF (Degrees of Freedom), applied skeleton points, while BRIEF (Binary Independent Elementary HOG (Histogram Oriented Gradients), FAST (Features from Accelerated Segment Test), Optical Flow used on silhouettes or full-body capture both geometric motion-based features. Feature fusion was employed enhance the discriminative power extracted data physical parameters calculated by different extraction techniques. The system utilized a hybrid CNN (Convolutional Neural Network) + RNN (Recurrent classifier recognition, with Grey Wolf Optimization (GWO) selection. Experimental results showed significant accuracy, achieving 98.5% UCF-101 dataset 99.2% YouTube dataset. Compared state-of-the-art methods, our achieved better performance recognition.

Language: Английский

Citations

1
A novel approach to detecting doping agents in food using electrochemical sensor based on zinc oxide/graphene oxide nanocomposites DOI
Chunzheng Peng, Chao Wang, Ziwei Li

et al.

Journal of Food Measurement & Characterization, Journal Year: 2024, Volume and Issue: 18(8), P. 6770 - 6781

Published: July 22, 2024

Language: Английский

Citations

5
Target detection and classification via EfficientDet and CNN over unmanned aerial vehicles DOI Creative Commons
Muhammad Ovais Yusuf, Muhammad Hanzla,

Naif Al Mudawi

et al.

Frontiers in Neurorobotics, Journal Year: 2024, Volume and Issue: 18

Published: Aug. 30, 2024

Advanced traffic monitoring systems face significant challenges in vehicle detection and classification. Conventional methods often require substantial computational resources struggle to adapt diverse data collection methods.

Language: Английский

Citations

5
A novel approach using copper oxide nanocomposites-based biosensor for lactate detection in athletes DOI Creative Commons
Chunming Li, Mingyue Zhang,

Chengruo Huang

et al.

Alexandria Engineering Journal, Journal Year: 2024, Volume and Issue: 105, P. 218 - 229

Published: July 4, 2024

Accurate monitoring tools are necessary for lactate, a critical biomarker linked to anaerobic metabolism and muscular performance. Lactate dehydrogenase (LDH) immobilized on MXene (Ti3C2Tx)-supported CuO nanocomposites (MCNs) modified glassy carbon electrode (LDH/MCN/GCE) is the innovative electrochemical biosensor lactate detection presented in this work. nanostructure integration onto nanosheets, MCN production, LDH immobilization were all successfully accomplished, according structural characterization performed using XRD, SEM, XPS, FTIR. The best oxidation current was shown by LDH/MCN/GCE, study. With low limit of 0.25 µM high sensitivity 5.92107 µA/mM, exhibited linear response range 0.1–121 mM. remarkable selectivity, stability, attributed enhanced made possible MCNs MXene. promise LDH/MCN/GCE bioanalytical applications highlighted promising results from practical testing human blood samples, opening door improvements performance optimization techniques.

Language: Английский

Citations

2
A sensitive electrochemical detection of carotenoid in food samples as an effective pigment in prevention of cancer cells DOI
Yu Long Tao

Journal of Food Measurement & Characterization, Journal Year: 2024, Volume and Issue: 18(8), P. 6747 - 6758

Published: June 17, 2024

Language: Английский

Citations

2
Fabrication of electrochemical sensor based on nanocomposite of zinc oxide nanoparticle-molecularly imprinted polymer for determination of tyrosine in food DOI
Jialiang Jiang, Xueli Wang,

Hairui Qi

et al.

Journal of Food Measurement & Characterization, Journal Year: 2024, Volume and Issue: 18(9), P. 7739 - 7750

Published: July 24, 2024

Language: Английский

Citations

2