Results 121 to 130 of about 22,751 (263)

Short‐Term Multi‐Horizon Line Loss Rate Forecasting of a Distribution Network Using Attention‐GCN‐LSTM

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurately predicting line loss rates is crucial for effective management in distribution networks, particularly for short‐term multihorizon forecasts ranging from 1 hour to 1 week. In this study, we propose attention‐GCN–LSTM, a novel method that integrates graph convolutional networks (GCN), long short‐term memory (LSTM) and a three‐level ...
Jie Liu, Yijia Cao, Yong Li, Yixiu Guo, Wei Deng   +4 more
wiley   +1 more source

Constructing gene co-functional and co-regulatory networks from public transcriptomes using condition-specific ensemble co-expression

Nature Communications
Gene co-expression networks (GCNs) can reveal useful gene co-functional and co-regulatory relationships. However, current GCN construction methodologies are sensitive to batch effects and sample composition, limiting their performance in generating GCNs ...
Peng Ken Lim, Ruoxi Wang, Shan Chun Lim, Jenet Princy Antony Velankanni, Marek Mutwil   +4 more
doaj   +1 more source

GCN and VOEvent - A Status Report

, 2006
The GRB Coordinates Network (GCN) has filled an important niche in the conduct and progress of research on GRB for more than 14 years. The methods used to collect and distribute the positions, lightcurves, spectra, and images on GRB is real time (a few ...
Barthelmy, Scott
core  

ANPGT: Towards Adaptive Node Property Extraction and Integration

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Graph transformers (GTs) with elaborate positional/structural encodings (PEs/SEs) have excelled in graph representation learning, especially in graph‐level tasks. However, their potential in large‐scale node classification remains untapped for several reasons: (i) Current PEs/SEs are insufficient in modelling large‐scale real‐world graphs ...
Qin Chen, Yuanyi Ren, Guojie Song, Liang Wang, Bo Zheng   +4 more
wiley   +1 more source

Engineered bacterial cellulose-based Ag nanoparticles/g-C3N4/Eucalyptus extract nanocomposites for wound dressing: In vitro evaluation

European Journal of Medicinal Chemistry Reports
In recent years, antibacterial wound dressings have gained considerable attention. Bacterial cellulose (BC) has received significant interest due to its unique physiochemical characteristics such as biocompatibility, high porosity, superior mechanical ...
Maral Sorourian, Mehrab Pourmadadi, Fatemeh Yazdian, Hamid Rashedi, Mona Navaei Nigjeh, Ghazal Sorourian, Abbas Rahdar, Sadanand Pandey   +7 more
doaj   +1 more source

Update Emissiekarakteristieken GCN/GDN 2022

, 2022
In opdracht van RIVM is een update uitgevoerd aan de representatieve emissiekarakteristieken van een aantal collectief geregistreerde emissiebronnen binnen de thans gehanteerde GCN-sectoren (in het verleden LED-sectoren genoemd).
Droge, R., Koch, W.W.R.
core  

Dissecting Glioma Heterogeneity: A Deep Hybrid Graph Convolutional Network With Hinge Attention for Causal‐Effect Explainability

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Brain tumour classification is a critical task in medical imaging that requires accurate and interpretable solutions to assist in clinical decision‐making. In this paper, we present GraphConvNet‐X, a novel hybrid model that integrates convolutional neural networks (CNNs) for spatial feature extraction with graph neural networks (GNNs) that ...
Sultanul Arifeen Hamim, Mubasshar U. I. Tamim, S. M. Hasan Mahmud, M. F. Mridha, Zeyar Aung   +4 more
wiley   +1 more source

First principles investigation of graphitic carbon nitride (GCN) monolayer embedded with transition metals (Ni, Pd, and Pt) as a NO sensor

Bibechana
Adsorption of nitric oxide on Ni, Pt, and Pd-embedded graphitic carbon nitride (GCN) has been studied computationally using density functional theory.
Guna Nidhi Poudel, Pitamber Shrestha, Narayan Prasad Rijal, Shri Ram Sharama, Leela Pradhan Joshi, Rajendra Parajuli   +5 more
doaj   +1 more source

RPf-GCNs: reciprocal perspective driven fused GCNs for rumor detection on social media

Journal of Big Data
AbstractThe earliest detection of rumors across social media is the need to the hour in present global village. User’s are seamlessly connected in an unstructured network leading to rapid flow of information. User’s on the social media with malign intents may share defamatory content to contribute towards the fifth generation media warfare. The ingress
Zafran Khan, Jeonghwan Gwak, Naima Iltaf, Witold Pedrycz, Moongu Jeon   +4 more
openaire   +3 more sources

Performance of GAT, GCN and GraphSAGE architectures.

Performance of GAT, GCN and GraphSAGE architectures.
Wushour Silamu (16186844), Bing Zhang (129), Tao Liu (10785), Zunwang Ke (16186841), Yanbing Li (281394)   +4 more
core   +1 more source