Quadrotor unmanned aerial vehicle control is critical to maintain flight safety and efficiency, especially when facing external disturbances and model uncertainties. This article presents a robust reinforcement learning control scheme to deal with these challenges.
Yu Cai +3 more
wiley +1 more source
Adaptive fuzzy-reinforcement framework for real-time task scheduling and resource optimization in medical edge computing. [PDF]
Wei X, Huang H, Wang Y.
europepmc +1 more source
The systematic design of memristor‐based neural network is provided by analog conductance state parameters to accurately emulate the software‐based high‐resolution weight at discrete device level. The requirement of discrete analog conductance of memristor device is measured as ≈50 states with nonlinearity value of ≈0.142 within the deviation range of ...
Jingon Jang, Yoonseok Song, Sungjun Park
wiley +1 more source
THR-DMPOM model for reliable high-precision evaluation to enhance real-time performance management and optimize resource allocation. [PDF]
Ma Y, Cao L.
europepmc +1 more source
Ecoefficiency Analysis and Regression in Data Conversion for Spiking Neural Network Training
The environmental footprint of spiking neural networks is quantified during dataset encoding and training for autonomous driving regression across three benchmarks. Temporal depth emerges as the dominant driver of energy consumption and CO2 emissions, while the accuracy–energy trade‐off proves dataset‐dependent. On conventional hardware, spiking models
Fernando S. Martínez +3 more
wiley +1 more source
Fuzzy adaptive human memory optimization based optimal task scheduling in cloud computing. [PDF]
Patel P +7 more
europepmc +1 more source
Motion artifacts in electrocardiographic signals, conventionally dismissed as noise, are shown to encode discriminative activity information. A smart t‐shirt fusing textile strain sensors with textile ECG electrodes, processed through a complex‐valued residual network, recognizes 12 sport activities.
Nada Al‐azzawi +4 more
wiley +1 more source
Research on railway emergency resource scheduling strategy under multiple uncertainty coupling. [PDF]
Sun J, Wan Y, Lu G, Tang Z.
europepmc +1 more source
AI‐Powered Smart Displays and AR Glasses: Perspectives and Challenges
This perspective examines how AI is reshaping smart displays and AR glasses. The latest in image‐quality enhancement, sensor‐integrated display optimization, and physiological sensing in display systems, followed by AI‐assisted AR technologies including waveguide optimization, image compensation, foveated rendering, and multimodal sensing, is discussed.
Luke Benoit +8 more
wiley +1 more source
Impact of zero‑output crisp range recentering on the performance of FPIDD<sup>2</sup> controllers for multi-area LFC-AVR systems. [PDF]
Omar MHT, Hamdy RA, Kotb H.
europepmc +1 more source

