A dual-path convolutional neural network combined with an attention-based bidirectional long short-term memory network for stock price prediction. [PDF]
Zhao G, Cheng Y, Yang J, Ouyang J.
europepmc +1 more source
Laser‐Induced Plasma Effects on Bond Breaking in High‐Density Polyethylene Pyrolysis
This study introduces a novel application of Laser‐Induced Breakdown Spectroscopy (LIBS) for bond breaking in high‐density polyethylene (HDPE), an area previously unexplored in laser‐plastic interactions. For the first time, a numerical model has been developed to differentiate between photon‐induced and laser field‐induced plasma, demonstrating the ...
Rao Adeel Un Nabi+5 more
wiley +1 more source
Classification of tomato leaf disease using Transductive Long Short-Term Memory with an attention mechanism. [PDF]
Chelladurai A+3 more
europepmc +1 more source
This review focuses on the application of synthetic biodegradable microarray patches (MAPs) in sustained drug delivery. Compared to conventional MAPs which release drugs into the skin in an immediate manner, these implantable MAPs release drugs into skin microcirculation gradually as the biodegradable polymers degrade, thus offering sustained release ...
Li Zhao+6 more
wiley +1 more source
Disentangling phonology from phonological short-term memory in Alzheimer’s disease phenotypes
Henderson SK+6 more
europepmc +1 more source
Sensitivity Analysis of Long Short-Term Memory-Based Neural Network Model for Vehicle Yaw Rate Prediction. [PDF]
Kontos J, Bódis L, Vathy-Fogarassy Á.
europepmc +1 more source
Photoactive Monolayer MoS2 for Spiking Neural Networks Enabled Machine Vision Applications
Molybdenum disulfide (MoS2) optoelectronic devices are implemented as Leaky Integrate‐and‐Fire (LIF) neurons in spiking neural networks (SNNs), where light‐induced photocurrent dynamics represent potentiation (τd) and depression (τd), emulating neuronal membrane potential.
Thiha Aung+5 more
wiley +1 more source
A Mold Damage Monitoring Algorithm for Power Metallurgy Molding Machines Using Bidirectional Long Short-Term Memory on an Internet of Things Platform. [PDF]
Lin HP, Chen YC, Han CC, Wu YC, Lin JY.
europepmc +1 more source
This study examines a soft gripper with a NiTiCu6 Shape Memory Alloy (SMA) wire embedded in a graphene nanoparticle (GNP)‐functionalized PDMS matrix. Comparing GNP‐enhanced and plain elastomer prototypes, results show that GNPs improve cooling rates, accelerating release by 40%, but increase energy consumption in low‐current activations.
Fabio Lazzari+5 more
wiley +1 more source