Results 101 to 110 of about 407 (177)

Unsupervised random walk manifold contrastive hashing for multimedia retrieval

Complex & Intelligent Systems
With the rapid growth in both the variety and volume of data on networks, especially within social networks containing vast multimedia data such as text, images, and video, there is an urgent need for efficient methods to retrieve helpful information ...
Yunfei Chen, Yitian Long, Zhan Yang, Jun Long   +3 more
doaj   +1 more source

Tailored for swift recognition: A structural perspective on secondary active plant hormone transporters

The Plant Journal, Volume 125, Issue 5, March 2026.
Significance Statement This review synthesizes current knowledge of plant hormone transporters across five major protein superfamilies. It links structural classification to transport mechanism and substrate specificity and demonstrates that this structural perspective provides a predictive framework for understanding substrate scope, selectivity ...
Bjørn Lildal Amsinck, Ines Benhammouche, Adriana Chrenková, Alexander J.D. Snow, Bjørn Panyella Pedersen   +4 more
wiley   +1 more source

ReGeNet: Relevance-Guided Generative Network to Evaluate the Adversarial Robustness of Cross-Modal Retrieval Systems

Mathematics
Streaming media data have become pervasive in modern commercial systems. To address large-scale data processing in intelligent transportation systems (ITSs), recent research has focused on deep neural network–based (DNN-based) approaches to improve the ...
Chao Hu, Yulin Yang, Yan Chen, Li Chen, Chengguang Liu, Yuxin Li, Ronghua Shi, Jincai Huang   +7 more
doaj   +1 more source

Deep Hashing Similarity Learning for Cross-Modal Retrieval

IEEE Access
In the realm of cross-modal retrieval research, hash methods have garnered significant attention from scholars due to their high retrieval efficiency and low storage costs. However, these methods often sacrifice a considerable amount of semantic features
Ying Ma, Meng Wang, Guangyun Lu, Yajun Sun   +3 more
doaj   +1 more source

2025 Advances in Learning Health System Sciences (AiLHSS) Conference: Abstracts

Learning Health Systems, Volume 10, Issue 2, April 2026.
wiley   +1 more source

Enhanced-Similarity Attention Fusion for Unsupervised Cross-Modal Hashing Retrieval

Data Science and Engineering
Although the fact that current methods have some effects, unsupervised cross-modal hashing methods still face several common challenges. First of all, the text features that have been collected from text data are not comprehensive enough to provide ...
Mingyong Li, Mingyuan Ge
doaj   +1 more source

Retracted: Deep Unsupervised Hashing for Large-Scale Cross-Modal Retrieval Using Knowledge Distillation Model. [PDF]

Comput Intell Neurosci, 2023
Intelligence And Neuroscience C.
europepmc   +1 more source

CLIP-Based Adaptive Graph Attention Network for Large-Scale Unsupervised Multi-Modal Hashing Retrieval. [PDF]

Sensors (Basel), 2023
Li Y, Ge M, Li M, Li T, Xiang S.
europepmc   +1 more source

Enhancing cross-modal retrieval via label graph optimization and hybrid loss functions. [PDF]

Sci Rep
Wang L, Wang C, Peng S.
europepmc   +1 more source

Generative AI-driven synthetic media risks in digital health: implications for telemedicine and teledentistry. [PDF]

Front Public Health
Jędrasiak K, Bijoch J.
europepmc   +1 more source