Results 171 to 180 of about 30,985 (264)

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

Mamba-based deep learning approach for sleep staging on a wireless multimodal wearable system without electroencephalography. [PDF]

Sleep
Zhang AH, He-Mo A, Yin RF, Li C, Tang Y, Gurve D, van der Horst V, Buchman AS, Ghahjaverestan NM, Goubran M, Wang B, Lim ASP.   +11 more
europepmc   +1 more source

Convergent Interval Confirmation for Three‐Step Discrete Specific Zeroing Neural Dynamics Illustrated With Repetitive Motion Planning of Redundant Manipulators

CAAI Transactions on Intelligence Technology, EarlyView.
ABSTRACT Repetitive motion planning (RMP) for redundant manipulators with high convergent precision becomes an intense research topic due to its more degrees of freedom. In this paper, a specific zeroing neural dynamics (SZND) model for the RMP is first set up via zeroing neurodynamics.
Ying Kong, Shaoyuan Sun, Yunliang Jiang, Lin Wei   +3 more
wiley   +1 more source

Anomaly-based intrusion detection on benchmark datasets for network security: a comprehensive evaluation. [PDF]

Sci Rep
Kumar LKS, Nethi SR, Uyyala R, Vurubindi P, Narahari SC, Das AK, K VB, Alenazi MJF.   +7 more
europepmc   +1 more source

HSL‐CFS: Hybrid stacked learning with cooperative feature selection for cyberattack detection in smart grids

Energy Conversion and Economics, EarlyView.
Abstract An effective method for detecting cyberattacks is essential to the security of smart grids (SGs). In SGs, data from both cyber and physical domains can support attack detection. However, existing works insufficiently consider the heterogeneity, high dimensionality, and cross‐domain correlations of multi‐source data, affecting model ...
Qize Gao, Qiuyu Lu, June Li, Zhao Peng, Guo Shen, Ming Ni   +5 more
wiley   +1 more source

Developing and internally validating AI-based aging resilience biomarkers in non-human primates. [PDF]

J Gerontol A Biol Sci Med Sci
Bennett RF, Speiser JL, Olson JD, Schaaf GW, Register TC, Cox LA, Cline JM, Quillen EE.   +7 more
europepmc   +1 more source

A Novel Converter Transformer DAM‐LSTNet Vibration Generation Model for Data Imbalance Identification

High Voltage, EarlyView.
ABSTRACT Converter transformer vibration failures, primarily because of winding and core vibrations, severely impact the safe operation of high voltage direct current (HVDC) systems. These vibrations are influenced by voltage and current, and are transmitted through transformer oil and structural components to the tank. Current numerical models fail to
Peiyu Jiang, Fanghui Yin, Liming Wang
wiley   +1 more source

Definitions and outcomes reported in studies investigating the management of new onset atrial fibrillation in acutely unwell patients admitted to the intensive care unit: a scoping review. [PDF]

Eur Heart J Open
Johnston BW, Mathew J, Voller C, Hill RA, Blackwood B, Williams K, Hall A, Wilson K, Lobban TH, Lip GYH, Welters ID.   +10 more
europepmc   +1 more source

Uncertainty‐Aware Visual Analysis of Force Networks in 2D Granular Materials

Computer Graphics Forum, EarlyView.
Abstract Uncertainty in experimental measurements makes it challenging to determine which features are intrinsic to the phenomenon and which are most stable and reliable. Granular materials, such as sand, form a complex system in which the forces between individual particles influence the material's macroscopic behavior.
M. Evers, A. Naseer, T. G. Murthy, V. Natarajan, T. Bin Masood, D. Weiskopf, I. Hotz   +6 more
wiley   +1 more source

Assessing the environmental costs of multi-scale recurrent neural networks for sustainable extreme rainfall nowcasting. [PDF]

Sci Rep
Brum D, Teylo L, Silva FPD, Vasconcellos FC, Breder GB, Azevedo L, Bezerra E, Porto F, Ferro M.   +8 more
europepmc   +1 more source