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Correction for 'Macauba () kernel has good protein quality and improves the lipid profile and short chain fatty acids content in rats' by Fátima Ladeira Mendes Duarte , , 2022, , 11342-11352, https://doi.org/10.1039/D2FO02047E.
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http://dx.doi.org/10.1039/d2fo90095e | DOI Listing |
Neural Netw
August 2025
Faculty of Electronics, Photonics, and Microsystems, Wroclaw University of Science and Technology, Wybrzeze Wyspianskiego 27, Wroclaw, 50-370, Poland.
Convolutional neural networks (CNNs) are among the most widely used machine learning models for computer vision tasks, such as image classification. To improve the efficiency of CNNs, many compression approaches have been developed. Low-rank methods approximate the original convolutional kernel with a sequence of smaller convolutional kernels, leading to reduced storage and time complexities.
View Article and Find Full Text PDFInt J Biol Macromol
August 2025
Department of Chemical Engineering, Indian Institute of Technology Jammu, Jammu 181221, Jammu and Kashmir, India. Electronic address:
Sustainable active food packaging films have recently emerged as a critical focus in prolonging food's shelf life. Herein, the study focuses on the biopolymers ethyl cellulose (EC) and polyethylene oxide (PEO) for fabricating fibrous films through a simple electrospinning technique. The FE-SEM analysis showed the uniform morphology of the EC/PEO films with fiber diameters ranging from 0.
View Article and Find Full Text PDFSci Rep
August 2025
Department of Information Systems, College of Computer and Information Sciences, Jouf University, Sakakah, Kingdom of Saudi Arabia.
The analysis of EEG signals for determining emotion is one of the most important topics in the field of artificial intelligence. It can be applied in a wide variety of areas, such as emotional health care and the man/machine interface. The purpose of the paper is the demonstration that emotions may be identified using EEG recordings in the hybrid approach based on the differentiated support vector machine (SVM) models with various types of kernel functions, as well as fuzzy C-means.
View Article and Find Full Text PDFMicromachines (Basel)
August 2025
School of Mechanical and Electrical Engineering, Guangdong University of Technology, Guangzhou 510006, China.
The switching characteristics of GaN HEMT devices exhibit a very complex dynamic nonlinear behavior and multi-physics coupling characteristics, and traditional switching current models based on physical mechanisms have significant limitations. This article adopts a hybrid architecture of convolutional neural network and long short-term memory network (CNN-LSTM). In the 1D-CNN layer, the one-dimensional convolutional neural network can automatically learn and extract local transient features of time series data by sliding convolution operations on time series data through its convolution kernel, making these local transient features present a specific form in the local time window.
View Article and Find Full Text PDFISA Trans
July 2025
Department of Control Science and Engineering, Harbin Institute of Technology, Harbin, 150006, China; Center of Ultra-Precision Optoelectronic Instrument Engineering, Harbin Institute of Technology, Harbin, 150006, China. Electronic address:
The kernel-based regularization method (KRM), emerging as a paradigm for system identification, has found widespread application in both causal and non-causal system identification. Its main challenges are the design of the kernel and the estimation of the hyperparameters. In this paper, we give some approaches to address these challenges.
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