Results 151 to 160 of about 73,165 (262)

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

On the structure of the sandpile identity element on Sierpiński gasket graphs. [PDF]

Comput Appl Math
Kaiser R, Sava-Huss E, Überbacher J.
europepmc   +1 more source

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

Non-linear kernel methods for genomic prediction of soybean yield and quality in multi-environment trials. [PDF]

Theor Appl Genet
Paiva WAL, da Costa WG, Machado LP, Nascimento ACC, Jarquin D, Nascimento M.   +5 more
europepmc   +1 more source

Instability-Driven Torsion Sign Flips Revealed by the Laplacian Structure of Curvature Support Fields in Protein Backbones. [PDF]

J Phys Chem B
Wang J, Ohsawa Y.
europepmc   +1 more source

LLM‐Powered Data Synthesis on Blockchain for Fusion Isomerism Learning in Heterogeneous Federated Systems

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Severe data starvation, architectural heterogeneity and Byzantine vulnerabilities fundamentally impede the deployment of robust multiclass classification models in decentralised edge environments. To address these intertwined challenges, we propose fusion isomerism learning (FusionIL), a secure and domain‐agnostic framework that ...
Zhihao Hao, Longbing Cao, Han Yu, Xiaoqiang Teng, Guancheng Wang, Chuanbin Zhang   +5 more
wiley   +1 more source

HLR-UFS: Hessian-based Unsupervised Feature Selection using Low-Rank Approximation. [PDF]

PLoS One
Zhang J, Lin W, Liu Y, Tu S, Peng M.
europepmc   +1 more source

Feedback‐Driven Medical Image Segmentation: Modelling on Boundary‐Sensitive Feature Preservation

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Accurate segmentation of medical images, particularly along ambiguous lesion boundaries, plays a vital role in clinical diagnosis and treatment planning. Conventional segmentation approaches often struggle to recover fine‐grained contours due to spatial detail loss caused by convolutional downsampling and the inherent sparsity of edge features,
Jikai Yang, Ming Yang, Zhiming Li, Shenglong Chen   +3 more
wiley   +1 more source

Competition between hydrogen atom transfer and carbon radical addition pathways in ClO₂ oxidation of dihydroxybenzenes for water treatment: a DFT study. [PDF]

RSC Adv
Henry GE, Kumaresan A, Vedha SA.
europepmc   +1 more source

Endurance of Epoxy Resin Cast Insulation With Interfacial Micro‐Crack Defect Under 50 Hz Sine and Kilohertz Square Voltages

High Voltage, EarlyView.
ABSTRACT Crack‐type defects are commonly found in epoxy composite cast insulation due to residual, thermal and external stresses. When combined with inverter‐type voltage stress, as in epoxy cast high‐frequency transformers (HFTs), the likelihood of insulation failure increases significantly. In this study, a method setting microcracks perpendicular to
Xingyu Shang, Lei Pang, Ziyan Yu, Wanlin Tang, Xiang Cai   +4 more
wiley   +1 more source