Kolmogorov-Arnold and Long Short-Term Memory Convolutional Network Models for Supervised Quality Recognition of Photoplethysmogram Signals. [PDF]
Mehrab A+6 more
europepmc +1 more source
This review systematically examines the nanomechanical mechanisms of mussel‐inspired molecular interactions, primarily investigated by direct force measurement techniques such as surface forces apparatus and atomic force microscopy. The macroscopic adhesive and self‐healing performances of mussel‐inspired functional materials, including coacervates ...
Pan Huang, Hongjian Zhang, Hongbo Zeng
wiley +1 more source
Use of posterior probabilities from a long short-term memory network for characterizing dance behavior with multiple accelerometers. [PDF]
McCullough AK.
europepmc +1 more source
Harnessing Photo‐Energy Conversion in Nanomaterials for Precision Theranostics
Harnessing photo‐energy conversion in nanomaterials enables precision theranostics through light‐driven mechanisms such as photoluminescence, photothermal, photoelectric, photoacoustic, photo‐triggered surface‐enhanced Raman scattering (SERS), and photodynamic processes. This review explores six fundamental principles of photo‐energy conversion, recent
Jingyu Shi+4 more
wiley +1 more source
Research on prediction of nanocrystalline alloy hysteresis properties based on long short-term memory network. [PDF]
Li H, Zhang B, Shen Y, Zhang L, Liu K.
europepmc +1 more source
Neuromorphic Light‐Responsive Organic Matter for in Materia Reservoir Computing
In this work we show that light‐responsive adaptive organic matter can store and process information at the matter level, and emulate neuromorphic functionalities such as short term memory, long term memory and visual memory. Besides demonstrating that material dynamics can be exploited for spatio‐temporal event detection and motion perception, we show
Federico Ferrarese Lupi+5 more
wiley +1 more source
Recognition of brain activities via graph-based long short-term memory-convolutional neural network. [PDF]
Yang Y+5 more
europepmc +1 more source
A Long Short-Term Memory Framework for Predicting Humor in Dialogues [PDF]
Dario Bertero, Pascale Fung
openalex +1 more source
Designing Physical Unclonable Functions From Optically Active Materials
Assigning unforgeable “fingerprints” to manufactured goods is a key strategy to fight global counterfeiting. Optical physical unclonable functions (PUFs) are chemically generated random patterns of optically active materials serving as unique authenticators.
Maxime Klausen+2 more
wiley +1 more source
Human-robot interaction: predicting research agenda by long short-term memory. [PDF]
Borregan-Alvarado J+3 more
europepmc +1 more source