过去一年中添加的文章，按日期排序
Effect of Fe2O3 on the Structure, Physical Properties and Crystallization of CaO-Al2O3-SiO2 Glass
F Zhang, D Xiong, J Xie, J Zhang, J Han… - … University of Technology …, 2024 - Springer
1 天前 - … network structure, thermal and mechanical properties, … reveals the glass network
connectivity decreases due to the … non-bridging number in glass structure. The glass densities …
connectivity decreases due to the … non-bridging number in glass structure. The glass densities …
Research Progress of Stable Isotope Models in Aquatic Ecosystem Food Webs
Z Yongsong, S Xiujuan, Y Tao, JIN Xianshi… - Progress in Fishery …, 2024 - agris.fao.org
2 天前 - The aquatic ecosystem is essential for human survival and development. Food web
studies on aquatic ecosystems describe many key processes, such as material cycling and …
studies on aquatic ecosystems describe many key processes, such as material cycling and …
Pharmacological Interventions to Mitigate Immunodeficiency in Children with Congenital Heart Defects: A Review Article
SO Alsaadi, AH Fagihi, AY Alfaifi… - Egyptian Journal of …, 2024 - ejchem.journals.ekb.eg
3 天前 - … genetic, and molecular features that are shared or different between pediatric HF
and adult HF. The aim of this study is to establish a structure for comprehending the constantly …
and adult HF. The aim of this study is to establish a structure for comprehending the constantly …
[HTML][HTML] An Efficient Method for Disaster Tweets Classification using Gradient-Based Optimized Convolutional Neural Networks with BERT embeddings
D Dharrao, MR Aadithyanarayanan, R Mital, A Vengali… - MethodsX, 2024 - Elsevier
3 天前 - … In the proposed architecture, the kernel size is set to 3 to capture local features
in the text, such as trigrams (three-word combinations), which can be important for …
in the text, such as trigrams (three-word combinations), which can be important for …
Study of the environmental impact of the process of recycling fibrous waste
B Islamov, D Mamaeva, A Ulukmuradov… - BIO Web of …, 2024 - bio-conferences.org
3 天前 - … and are suitable for using materials with desired properties… The main technological
methods for obtaining composite … data on the features of the structure and properties of the …
methods for obtaining composite … data on the features of the structure and properties of the …
„Darbo skelbimų portalas “grafinės sąsajos projektas
R Prialgauskis, J Janušas, D Juška, J Smirnova… - … : inovacijų įžvalgos 2024 …, 2024 - vb.kvk.lt
3 天前 - … , job listing retrieval, and other essential features using Express.js and Node.js. …
fully functional web application that is free from constraints or financial requirements. Key results …
fully functional web application that is free from constraints or financial requirements. Key results …
Modeling of microwave pretreatment effect on the oil extraction from tomato seeds by artificial neural network method
Z Mamivand, A Emamifar, F Salehi… - … science and technology …, 2024 - msa.modares.ac.ir
4 天前 - … on the physicochemical characteristics of their extracted oil. … Some physicochemical
characteristics of extracted seed oil … Data was analyzed with factorial treatment structure in a …
characteristics of extracted seed oil … Data was analyzed with factorial treatment structure in a …
Change Detection of Grape Growing Areas Based on Integrating Attention Mechanism and Multiscale Information
Z Hongming, S Yinwei, Y Guang, SUN Zhitong… - Nongye Jixie Xuebao …, 2024 - nyjxxb.net
4 天前 - … adopted an encoderdecoder structure, which incorporated the … basis of ResNet101
backbone network to improve the network’s ability to adequately extract change features …
backbone network to improve the network’s ability to adequately extract change features …
Deep learning for wireless communications: flexible architectures and multitask learning
S Kalade - 2024 - stax.strath.ac.uk
4 天前 - … the feature extraction layers of a DNN. MTL can improve the performance of individual
tasks by having the network … While RNNs are a very powerful neural network architecture, …
tasks by having the network … While RNNs are a very powerful neural network architecture, …
On a pyramid structure in social networks
W Lyu, L Zhao - Social Network Analysis and Mining, 2024 - Springer
5 天前 - … pyramid structure as a novel framework for social network analysis, … key social
network attributes, such as degree distribution, clustering coefficients, and small-world properties, …
network attributes, such as degree distribution, clustering coefficients, and small-world properties, …