Ensemble Model Based on Hybrid Deep Learning for Intrusion Detection in Smart Grid Networks. [PDF]
AlHaddad U+4 more
europepmc +1 more source
A Security Architecture for Data Aggregation and Access Control in Smart Grids
Sushmita Ruj+2 more
openalex +2 more sources
Study of forecasting renewable energies in smart grids using linear predictive filters and neural networks [PDF]
Amjad Anvari‐Moghaddam, Ali Reza Seifi
openalex +1 more source
Machine Learning for Organic Fluorescent Materials
Organic fluorescent materials (OFMs) have demonstrated significant potential in diverse applications. Conventional approaches for studying OFMs face significant limitations in fluorescence spectroscopy and computational methods. Machine learning (ML) has revolutionized materials chemistry, offering superior predictive accuracy and efficiency over ...
Jiamin Zhong+7 more
wiley +1 more source
Effect of thermal stress on the life of DC link capacitors for smart grid. [PDF]
Sun XW, Qiao Y, Li YD, Cao CF, Guo XM.
europepmc +1 more source
Water Meter Reading for Smart Grid Monitoring. [PDF]
Martinelli F, Mercaldo F, Santone A.
europepmc +1 more source
Abstract This study presents a data‐driven modeling and multi‐objective optimization framework for an integrated section of continuous pharmaceutical manufacturing, focusing on flow synthesis and continuous crystallization. To address data scarcity and trade‐offs among product quality, efficiency, and environmental impact, the framework combines ...
Yiming Ma+7 more
wiley +1 more source
A zero-trust based scheme for detecting illegal terminals in the Internet of Things of smart grid. [PDF]
Zhu H+5 more
europepmc +1 more source
Piezoelectric Origami Metamaterials for Enhanced Handwriting Recognition and Trajectory Tracking
This study introduces origami metamaterials inspired by Kresling piezoelectric generators to enhance biometric authentication and handwriting trajectory recognition. Overcoming sensor limitations in conventional devices, the design enables multichannel data acquisition with fewer sensors, utilizing machine learning to accurately identify content ...
Yinzhi Jin, Ting Tan, Zhimiao Yan
wiley +1 more source
Advancements, challenges, and future prospects of smart grid technology in India. [PDF]
Talhar Belge A+4 more
europepmc +1 more source