Results 71 to 80 of about 64,981 (259)

Graph Contrastive-and-Reconstructive Hashing for Unsupervised Cross-Modal Retrieval

Data Science and Engineering
Hashing-based unsupervised cross-modal retrieval has gained significant attention in the big data management community due to its low storage overhead and rapid retrieval speed. However, current methods often lack effective alignment strategies to reduce
Rukai Wei, Yu Liu, Heng Cui, Yanzhao Xie, Ke Zhou   +4 more
doaj   +1 more source

An All‐Optical Driven Bio‐Photovoltaic Interface for Active Control of Live Cells

Advanced Functional Materials, EarlyView.
Bio‐photovoltaic Interface (BIO‐PV‐I) for live cell manipulation is presented. BIO‐PV‐I can be activated non‐invasively and remotely to control the spatial motility, adhesion, and morphology of cells adhering to it. BIO‐PV‐I uses a patterned light‐induced electric potential in iron‐doped lithium niobate crystals whose light‐driven and reversible nature,
Lisa Miccio, Martina Mugnano, Valentina Marchesano, Alejandro Calabuig, Zhe Wang, Gennaro Giordano, Francesca Borrelli, Simonetta Grilli, Pietro Ferraro   +8 more
wiley   +1 more source

Supervised Contrastive Learning for 3D Cross-Modal Retrieval

Applied Sciences
Interoperability between different virtual platforms requires the ability to search and transfer digital assets across platforms. Digital assets in virtual platforms are represented in different forms or modalities, such as images, meshes, and point ...
Yeon-Seung Choo, Boeun Kim, Hyun-Sik Kim, Yong-Suk Park   +3 more
doaj   +1 more source

Toward Scalable Solutions for Silver‐Based Gas Diffusion Electrode Fabrication for the Electrochemical Conversion of CO2 – A Perspective

Advanced Functional Materials, EarlyView.
In this study, the preparation techniques for silver‐based gas diffusion electrodes used for the electrochemical reduction of carbon dioxide (eCO2R) are systematically reviewed and compared with respect to their scalability. In addition, physics‐based and data‐driven modeling approaches are discussed, and a perspective is given on how modeling can aid ...
Simon Emken, K. Ashoke Raman, Alexander Bauer, Violeta Karyofylli, Eva Jodat, André Karl, Rüdiger‐A. Eichel   +6 more
wiley   +1 more source

Unsupervised Contrastive Hashing With Autoencoder Semantic Similarity for Cross-Modal Retrieval in Remote Sensing

IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing
In large-scale multimodal remote sensing data archives, the application of cross-modal technology to achieve fast retrieval between different modalities has attracted great attention.
Na Liu, Guodong Wu, Yonggui Huang, Xi Chen, Qingdu Li, Lihong Wan   +5 more
doaj   +1 more source

Semi-Supervised Cross-Modal Retrieval Based on Discriminative Comapping

Complexity, 2020
Most cross-modal retrieval methods based on subspace learning just focus on learning the projection matrices that map different modalities to a common subspace and pay less attention to the retrieval task specificity and class information. To address the
Li Liu, Xiao Dong, Tianshi Wang
doaj   +1 more source

Cross-modal adapter for vision–language retrieval

Pattern Recognition
The accepted manuscript by Pattern Recognition 25 Journal.
Haojun Jiang, Jianke Zhang, Rui Huang, Chunjiang Ge, Zanlin Ni, Shiji Song, Gao Huang   +6 more
openaire   +2 more sources

Recomposable Layered Metasurfaces for Wavelength‐Multiplexed Optical Encryption via Modular Diffractive Deep Neural Networks

Advanced Functional Materials, EarlyView.
Modular diffractive deep neural network metasurfaces encode and reconstruct holograms across layer combinations and wavelengths, enabling secure, multifunctional operation. Each layer acts independently yet composes jointly, yielding up to m(2N −1) channels for m wavelengths and N layers.
Cherry Park, Youngsun Jeon, Seokho Lee, Yeseul Kim, Junsuk Rho   +4 more
wiley   +1 more source

An adaptive feature fusion strategy using dual-layer attention and multi-modal deep reinforcement learning for all-media similarity search

Discover Artificial Intelligence
This paper proposes a novel adaptive feature fusion strategy that combines a dual-layer attention mechanism and Multi-modal deep reinforcement learning (DRL) to optimize cross-modal information retrieval.
Jin Yue, Jiayun Lang, Rui Feng
doaj   +1 more source

Switchable Thermal Mid‐IR Conducting Polymer Antenna Arrays

Advanced Functional Materials, EarlyView.
This study presents switchable mid‐infrared plasmonic resonances in PEDOT antenna arrays. Their optical extinction peaks can be reversibly switched ‘OFF’ and ‘ON’ by tuning the polaronic charge carrier concentration via the polymer's redox state, offering modulation of optical responses in the thermal mid‐infrared range including around 10 µm ...
Pravallika Bandaru, Mohammad Shaad Ansari, Suraya Kazi, Dongqing Lin, Alexander Yu Polyakov, Magnus P. Jonsson   +5 more
wiley   +1 more source