Results 251 to 260 of about 4,404,768 (300)
This study demonstrates the combination of magnetic nanoparticles and functional blowing agents into supraparticles. Upon induction heating, they actuate via rapid gas generation or extensive volume expansion. These supraparticles lift up to 25 000 times their own mass and rapidly open cured epoxy resins, providing a versatile strategy for fast micron ...
Leoni Luthardt +3 more
wiley +1 more source
Remote Photoplethysmography and Motion Tracking Convolutional Neural Network with Bidirectional Long Short-Term Memory: Non-Invasive Fatigue Detection Method Based on Multi-Modal Fusion. [PDF]
Kong L, Xie K, Niu K, He J, Zhang W.
europepmc +1 more source
Dual‐State Programmable Oxide Transistor for Time‐Based Cryptography
A DUPOT enables independently tunable Vth and Isat depending on gate bias polarity, producing three‐dimensional dynamical behavior within a transfer characteristic. This behavior originates from charge trapping and oxygen‐ion migration in the HfO2 layer.
Huisu Noh +9 more
wiley +1 more source
Strong Coupling in Bulk Nanoplasmonic Nanoplatelet Perovskite Scintillators
A bulk scintillating nanocomposite is engineered from CsPbBr3 nanoplatelets and Ag nanocubes to support exciton–plasmon strong coupling under X‐ray excitation. The resulting hybrid polaritonic states appear directly in radioluminescence, opening a route toward polariton‐enabled scintillator design beyond conventional Purcell enhancement.
Michal Makowski +13 more
wiley +1 more source
A novel selective laser sintering and graphitization (SLSG) 3D printing technology enables unibody fabrication of compacted insulating structures and conductive circuits in fluidic‐integrated wearable electronics through adaptive photonic modulation.
Li Zhang, Wing Cheung Mak
wiley +1 more source
Inverse Design of Nanoparticulate Materials
Inverse design shifts nanomaterial development from empirical trial‐and‐error to predictive model‐driven strategies. It can rely on knowledge‐based, data‐based, or hybrid process and property functions. This perspective article provides a practical framework for applying inverse design based on instructive examples. It discusses which modeling approach
Nabi Etienne Traoré +5 more
wiley +1 more source
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An overview of multi-modal medical image fusion
Neurocomputing, 2016Abstract Multi-modal medical image fusion is the process of merging multiple images from single or multiple imaging modalities to improve the imaging quality with preserving the specific features. Medical image fusion covers a broad number of hot topic areas, including image processing, computer vision, pattern recognition, machine learning and ...
Jiao Du, Bin Xiao
exaly +2 more sources
Interpretation on Multi-modal Visual Fusion. [PDF]
In this paper, we present an analytical framework and a novel metric to shed light on the interpretation of the multimodal vision community. Our approach involves measuring the proposed semantic variance and feature similarity across modalities and ...
Hao Chen 0034 +2 more
core +3 more sources
The 12th IEEE International Conference on Fuzzy Systems, 2003. FUZZ '03., 2004
Clustering groups items together that are most similar to each other and sets those that are least similar into different clusters. Methods have been developed to cluster records in a data set that are of only qualitative or quantitative data. Data sets exist that contain a mix of qualitative (nominal and ordinal) and quantitative (discrete and ...
Sarah Coppock, Lawrence J. Mazlack
openaire +2 more sources
Clustering groups items together that are most similar to each other and sets those that are least similar into different clusters. Methods have been developed to cluster records in a data set that are of only qualitative or quantitative data. Data sets exist that contain a mix of qualitative (nominal and ordinal) and quantitative (discrete and ...
Sarah Coppock, Lawrence J. Mazlack
openaire +2 more sources
Part-Whole Relational Fusion Towards Multi-Modal Scene Understanding [PDF]
Multi-modal fusion has played a vital role in multi-modal scene understanding. Most existing methods focus on cross-modal fusion involving two modalities, often overlooking more complex multi-modal fusion, which is essential for real-world applications ...
Jungong Han
exaly +2 more sources

