A Gas Production Classification Method for Cable Insulation Materials Based on Deep Convolutional Neural Networks. [PDF]
Wang Z +5 more
europepmc +1 more source
The study proposes a 1‐bit programmable metasurface based on flip‐disc display, named flip‐disc metasurface (FD‐MTS). This new design enables ultralow energy consumption while maintaining coding patterns. It also exhibits high scalability and multifunctional flexibility.
Jiang Han Bao +8 more
wiley +1 more source
Spatio-Temporal Collaborative Perception-Enabled Fault Feature Graph Construction and Topology Mining for Variable Operating Conditions Diagnosis. [PDF]
Zhao J, Wu X, Liu C, He F.
europepmc +1 more source
Spectrally Tunable 2D Material‐Based Infrared Photodetectors for Intelligent Optoelectronics
Intelligent optoelectronics through spectral engineering of 2D material‐based infrared photodetectors. Abstract The evolution of intelligent optoelectronic systems is driven by artificial intelligence (AI). However, their practical realization hinges on the ability to dynamically capture and process optical signals across a broad infrared (IR) spectrum.
Junheon Ha +18 more
wiley +1 more source
Enhanced CNN for induction motor fault diagnosis via multi-source data fusion. [PDF]
Bo L, Li M, Tan H.
europepmc +1 more source
Integrative Approaches for DNA Sequence‐Controlled Functional Materials
DNA is emerging as a programmable building block for functional materials with applications in biomimicry, biochemical, and mechanical information processing. The integration of simulations, experiments, and machine learning is explored as a means to bridge DNA sequences with macroscopic material properties, highlighting current advances and providing ...
Aaron Gadzekpo +4 more
wiley +1 more source
Rolling Bearing Fault Diagnosis via Meta-BOHB Optimized CNN-Transformer Model and Time-Frequency Domain Analysis. [PDF]
Wang Y, Jiang H, Tong B, Song S.
europepmc +1 more source
Medical Data and Applied Ethics: Part II: The Sources of Data [PDF]
Murphy, Edmond A.
core +1 more source
This review highlights how machine learning (ML) algorithms are employed to enhance sensor performance, focusing on gas and physical sensors such as haptic and strain devices. By addressing current bottlenecks and enabling simultaneous improvement of multiple metrics, these approaches pave the way toward next‐generation, real‐world sensor applications.
Kichul Lee +17 more
wiley +1 more source
A Fault Diagnosis Method for Gas Turbine Rolling Bearings with Variable Speed Based on Dynamic Time-Varying Response and Joint Attention Mechanism. [PDF]
Lv H, Dong Z, Li X.
europepmc +1 more source

