A survey of spatio-temporal eeg data analysis: from models to applications
In recent years, the field of electroencephalography (EEG) analysis has witnessed
remarkable advancements, driven by the integration of machine learning and artificial …
remarkable advancements, driven by the integration of machine learning and artificial …
Ts-tcd: Triplet-level cross-modal distillation for time-series forecasting using large language models
In recent years, large language models (LLMs) have shown great potential in time-series
analysis by capturing complex dependencies and improving predictive performance …
analysis by capturing complex dependencies and improving predictive performance …
Blockchain-enabled large language models for prognostics and health management framework in industrial internet of things
D Li, H Li, J Li, HW Li, H Wang, R Minerva… - … on Blockchain and …, 2024 - Springer
Abstract The Industrial Internet of Things (IIoT) emphasizes the importance of equipment
health and reliability, which is critical to maintaining operational efficiency and preventing …
health and reliability, which is critical to maintaining operational efficiency and preventing …
A Survey on Graph Neural Networks for Remaining Useful Life Prediction: Methodologies, Evaluation and Future Trends
Remaining Useful Life (RUL) prediction is a critical aspect of Prognostics and Health
Management (PHM), aimed at predicting the future state of a system to enable timely …
Management (PHM), aimed at predicting the future state of a system to enable timely …
AUTONODE: A Neuro-Graphic Self-Learnable Engine for Cognitive GUI Automation
In recent advancements within the domain of Large Language Models (LLMs), there has
been a notable emergence of agents capable of addressing Robotic Process Automation …
been a notable emergence of agents capable of addressing Robotic Process Automation …
[HTML][HTML] A Comprehensive Survey on Emerging Techniques and Technologies in Spatio-Temporal EEG Data Analysis
In recent years, the field of electroencephalography (EEG) analysis has witnessed
remarkable advancements, driven by the integration of machine learning and artificial …
remarkable advancements, driven by the integration of machine learning and artificial …