Results 191 to 200 of about 9,834 (275)
L-SHADE-Optimized Active Disturbance Rejection for Sensorless PMSM Drives Under Complex Uncertainties. [PDF]
Chen X, Yang T, Zhang B, Zhang L.
europepmc +1 more source
Typical configuration of Huangshan Scenic Area. ABSTRACT To cope with the supply and demand imbalance challenge caused by the surge in energy demand in tourism‐intensive areas and the high volatility of renewable energy, this paper aims to construct a collaborative scheduling optimization model based on graph neural networks (GNNs). The model abstracts
Lixia Wang
wiley +1 more source
Lightweight Real-Time Navigation for Autonomous Driving Using TinyML and Few-Shot Learning. [PDF]
Ali W +4 more
europepmc +1 more source
This study develops a lightweight pre‐trained model for financial news sentiment analysis and stock price prediction. By integrating domain adaptation and multimodal fusion, it achieves real‐time efficiency without compromising accuracy, offering a practical solution for intelligent investment and quantitative trading systems. ABSTRACT As the frequency
Jingyu Zhang
wiley +1 more source
Evaluating the Adversarial Robustness and Clinical Safety of Quantized Hierarchical Transformers for Edge-Based Malaria Microscopy. [PDF]
Hasan U, Alghamdi TG, Nayeem MA.
europepmc +1 more source
An adaptive fuzzy controller using an interval type‐3 fuzzy logic system replaces the SMC switching term to mitigate chattering while preserving global stability for islanded inverters. Simulations show lower THD, greater robustness to disturbances and parameter variations, and improved voltage‐tracking accuracy, with applicability to other uncertain ...
Man‐Wen Tian +7 more
wiley +1 more source
Sagittal-Plane Knee Flexion Moment Estimation Using a Lightweight Deep Learning Framework Based on Sequential Surface EMG Feature Frames. [PDF]
Zhuo Y, Pranata A, Cheng CT, Pang TY.
europepmc +1 more source
A real‐time, data‐driven framework detects and classifies photovoltaic array faults using edge sensing and server‐side machine learning. Ensemble tree models achieve near‐perfect accuracy with low latency, enabling practical, low‐cost deployment for reliable PV monitoring and intelligent maintenance.
Premkumar Manoharan +4 more
wiley +1 more source
Scaling and quantization of large-scale foundation model enables resource-efficient predictions in network biology. [PDF]
Chen H +7 more
europepmc +1 more source
Survey on AI‐Enabled Computer Vision Technologies and Applications for Space Robotic Missions
ABSTRACT This survey provides a comprehensive overview of recent advancements and challenges in Artificial Intelligence (AI)‐enabled computer vision (CV) techniques for space robotic missions, spanning critical phases such as Entry, Descent, and Landing (EDL), orbital operations, and planetary surface exploration.
Maciej Quoos +6 more
wiley +1 more source

