Results 61 to 70 of about 75,080 (277)

A Multi‐Resonant Tunable Fabry‐Pérot Cavity for High Throughput Spectral Imaging

open access: yesAdvanced Optical Materials, Volume 13, Issue 8, March 13, 2025.
This study introduces a multi‐resonant tunable Fabry‐Pérot filter for high throughput spectral imaging. With a spectral resolution of 10 nm and a switching time of 23 ms, this compact and low‐cost device possesses better spectral imaging accuracy in poor light conditions while maintaining over six times higher optical throughput than standard liquid ...
Xiao Wu   +5 more
wiley   +1 more source

Eco-friendly mix design of slag-ash-based geopolymer concrete using explainable deep learning

open access: yesResults in Engineering
Geopolymer concrete is a sustainable and eco-friendly substitute for traditional OPC (Ordinary Portland Cement) based concrete, as it reduces greenhouse gas emissions.
R.S.S. Ranasinghe   +6 more
doaj   +1 more source

EERA-ASR: An Energy-Efficient Reconfigurable Architecture for Automatic Speech Recognition With Hybrid DNN and Approximate Computing

open access: yesIEEE Access, 2018
This paper proposes a hybrid deep neural network (DNN) for automatic speech recognition and an energy-efficient reconfigurable architecture with approximate computing for accelerating the DNN.
Bo Liu   +5 more
doaj   +1 more source

Liquid Metal Sensors for Soft Robots

open access: yesAdvanced Robotics Research, EarlyView.
This review thoroughly reviews liquid metal sensors in soft robots. Their unique material properties like high conductivity and good biocompatibility are analyzed. Working principles are classified, and applications in environmental perception, motion detection, and human—robot interaction are introduced.
Qi Zhang   +7 more
wiley   +1 more source

Recurrent Deep Learning for Beam Pattern Synthesis in Optimized Antenna Arrays

open access: yesApplied Sciences
This work proposes and describes a deep learning-based approach utilizing recurrent neural networks (RNNs) for beam pattern synthesis considering uniform linear arrays.
Armando Arce   +5 more
doaj   +1 more source

IMPLEMENTATION OF DEEP NEURAL NETWORKS (DNN) FOR PAVEMENT CRACK DETECTION

open access: yesZbornik radova Trinaestog Međunarodnog naučno-stručnog savetovanja Ocena stanja, održavanje i sanacija građevinskih objekata
The lifespan of a structure encompasses its initial construction, followed by its operational phase, and ultimately, its rehabilitation. To accurately determine the optimal timing for rehabilitation, it is essential to continuously monitor the current state of the structure. Applied to road infrastructure, this monitoring process entails the systematic
Miloš Lukić   +6 more
openaire   +2 more sources

Wedelolactone, a Novel TLR2 Agonist, Promotes Neutrophil Differentiation and Ameliorates Neutropenia: A Multi‐Omics Approach to Unravel the Mechanism

open access: yesAdvanced Science, EarlyView.
Wedelolactone (WED), a natural TLR2 agonist, promotes neutrophil differentiation and enhances bactericidal function, offering a potential therapeutic strategy for neutropenia. Using a multi‐omics approach, this study reveals that WED activates the TLR2/MEK/ERK pathway, upregulating key transcription factors (PU.1, CEBPβ) to drive neutrophil development.
Long Wang   +16 more
wiley   +1 more source

SiCmiR Atlas: Single‐Cell miRNA Landscape Reveals Hub‐miRNA and Network Signatures in Human Cancers

open access: yesAdvanced Science, EarlyView.
SiCmiR predicts mature miRNA activity at single‐cell resolution using only 977 landmark genes, enabling scalable reconstruction of miRNA landscapes across diverse tissues and disease contexts. The SiCmiR Atlas integrates 9.36 million cells with analytical tools for hub‐miRNA discovery, biomarker prioritization, and regulatory network interrogation ...
Xiao‐Xuan Cai   +12 more
wiley   +1 more source

Recent Advances in Decoupling Strategies for Soft Sensors

open access: yesAdvanced Science, EarlyView.
This review provides an overview of recent advances in decoupling strategies for soft sensors. It summarizes single‐modal sensors that are insensitive to stretching, bending, crosstalk, and other environmental interferences, and highlights emerging multimodal decoupling methods enabled by spatiotemporal information and machine learning.
Yangbo Yuan   +4 more
wiley   +1 more source

Advancing Precision Nutrition Through Multimodal Data and Artificial Intelligence

open access: yesAdvanced Science, EarlyView.
Individual responses to food vary dramatically, challenging traditional dietary advice. This review explores how the unique genetic makeup, gut microbiome, and brain activity shape host metabolic health. We examine how artificial intelligence integrates these multimodal data to predict individualized dietary needs, moving beyond one‐size‐fits‐all ...
Yuanqing Fu   +5 more
wiley   +1 more source

Home - About - Disclaimer - Privacy