Smart Theremin Based on Electromagnetic Metasurfaces for Fine Dual‐Hand Perception
The proposed Meta‐Theremin leverages a frequency‐spatial multiplexing metasurface to enable robust dual‐hand perception by shielding environmental noise and confining EM fields to interaction zones. Its physics‐informed neural network decouples hand‐specific echoes, enhancing accuracy.
Che Liu +8 more
wiley +1 more source
Some Improvements on Deep Convolutional Neural Network Based Image Classification
Andrew Howard
openalex +2 more sources
Short Text Clustering via Convolutional Neural Networks [PDF]
Jiaming Xu +6 more
openalex +1 more source
Cloaking and Antennas: From Theoretical Paradigms to Next‐Generation Intelligent Systems
The inception of electromagnetic cloaking sparked an immediate question: Can antennas be made invisible? Two decades later, this review charts the intertwined progress of major cloaking strategies (from transformation optics to scattering cancellation), metasurface technology, and their application to antennas, revealing how AI‐enabled devices are ...
Helen Guo, Xun Li
wiley +1 more source
Deep convolutional neural networks for automatic identification of epileptic seizures in infrared and depth images [PDF]
Felix Achilles +6 more
openalex +1 more source
Advancing Clinical Medicine with Raman Spectroscopy: Current Trends and Future Perspectives
Raman spectroscopy and microscopy may become excellent tools in clinical medicine, including hematology, oncology, infectious diseases, neurology, gastroenterology, reproductive medicine, rheumatology, and cardiovascular research. However, many challenges such as signal interference, standardization issues, and limited clinical application need to be ...
Jiří Bufka +5 more
wiley +1 more source
Multiscale Convolutional Neural Networks for Vision–Based Classification of Cells
Pierre Buyssens +2 more
openalex +2 more sources
Convolutional neural networks at constrained time cost [PDF]
Kaiming He, Jian Sun
openalex +1 more source
Transformer Encoder–Decoder Framework for Nonlinear Pulse Evolution and Inverse Modeling
Modeling nonlinear pulse evolution in optical systems is key to advancing photonic technologies. A transformer‐based encoder‐decoder framework is proposed for both forward and inverse modeling, applied to supercontinuum generation. This approach captures complex dynamics efficiently, outperforming traditional methods in speed.
Dinesh Kumar Murugan +2 more
wiley +1 more source

