Climate-proofing critical energy infrastructure: Smart grids, artificial intelligence, and machine learning for power system resilience against extreme weather events

J Nyangon - Journal of Infrastructure Systems, 2024 - ascelibrary.org
Electric power systems face heightened risks from climate change, on top of existing
challenges like aging infrastructure, regulatory shifts, and cybersecurity threats. This paper …

Advancements in complex knowledge graph question answering: a survey

Y Song, W Li, G Dai, X Shang - Electronics, 2023 - mdpi.com
Complex Question Answering over Knowledge Graph (C-KGQA) seeks to solve complex
questions using knowledge graphs. Currently, KGQA systems achieve great success in …

High speed and accuracy of animation 3D pose recognition based on an improved deep convolution neural network

W Ding, W Li - Applied Sciences, 2023 - mdpi.com
Pose recognition in character animations is an important avenue of research in computer
graphics. However, the current use of traditional artificial intelligence algorithms to recognize …

An analysis of initial training strategies for exemplar-free class-incremental learning

G Petit, M Soumm, E Feillet… - Proceedings of the …, 2024 - openaccess.thecvf.com
Abstract Class-Incremental Learning (CIL) aims to build classification models from data
streams. At each step of the CIL process, new classes must be integrated into the model …

MAM-IncNet: an end-to-end deep learning detector for Camellia pest recognition

J Chen, W Chen, YA Nanehkaran… - Multimedia Tools and …, 2024 - Springer
Camellia oil is one of the most healthy edible oils in the world. It has the effects of lowering
blood pressure, reducing blood fat, and softening blood vessels. Whereas, the Camellia …

CFA-GAN: Cross fusion attention and frequency loss for image style transfer

X Zheng, X Yang, Q Zhao, H Zhang, X He, J Zhang… - Displays, 2024 - Elsevier
Image style transfer is a significant challenge in computer vision, where the goal is to
transfer the style of a reference image to a source image while preserving its background …

Diabetic retinopathy detection using EADBSC and improved dilated ensemble CNN-based classification

NM Thomas, SA Jerome - Multimedia Tools and Applications, 2024 - Springer
Nowadays high-rated and active research in the ophthalmic field has paved the way for the
detection of several retinal disorders which helps the ophthalmologist, in scheduling and …

Multi-channel Capsule Network for Micro-expression Recognition with Multiscale Fusion

Z Xie, J Fan, S Cheng - Multimedia Tools and Applications, 2024 - Springer
Abstract Facial micro-expression (ME), consisting of uncontrollable muscle movements in
faces, is an important clue for revealing real people's feelings. Due to the short duration and …

Research on CNN-LSTM DC power system fault diagnosis and differential protection strategy based on reinforcement learning

Y Yang, F Tu, S Huang, Y Tu, T Liu - Frontiers in Energy Research, 2023 - frontiersin.org
Introduction: With the development of artificial intelligence technology, more and more fields
are applying deep learning and reinforcement learning techniques to solve practical …

Miner fatigue detection from electroencephalogram-based relative power spectral topography using convolutional neural network

L Xu, J Li, D Feng - Sensors, 2023 - mdpi.com
Fatigue of miners is caused by intensive workloads, long working hours, and shift-work
schedules. It is one of the major factors increasing the risk of safety problems and work …