Results 91 to 100 of about 407 (177)
Deep Feature-Based Neighbor Similarity Hashing With Adversarial Learning for Cross-Modal Retrieval
Currently, deep hashing methods for cross-modal retrieval have achieved significant performance. However, label-based pairwise semantic keep correspondence within bounds of tags, while overlooking the connection between the essence of content.
Kun Li +4 more
doaj +1 more source
HiFiCCL, as the first assembly framework specifically designed for low‐coverage high‐fidelity reads, improves the assembly quality of existing assemblers and also enhances downstream applications such as large structural variant (SV) detection (>10 000 bp), synteny analysis, pangenome graph construction, and graph‐based individual‐specific germline SVs
Zhongjun Jiang +9 more
wiley +1 more source
A Deep Hashing Technique for Remote Sensing Image-Sound Retrieval
With the rapid progress of remote sensing (RS) observation technologies, cross-modal RS image-sound retrieval has attracted some attention in recent years.
Yaxiong Chen, Xiaoqiang Lu
doaj +1 more source
HADA: A Hybrid Anomaly Detection Approach Using Unsupervised Machine Learning
Overview of HADA, an unsupervised fraud detection pipeline that preprocesses and scales transaction data, applies PCA for dimensionality reduction, scores anomalies using Isolation Forest, selects anomalous transactions via thresholding, and clusters the selected anomalies using Agglomerative Hierarchical Clustering (AHC) to produce interpretable ...
Francis Thiong'o +3 more
wiley +1 more source
Network Security Empowered Digital Teaching Data Protection Algorithm for Ceramic Technology
In this paper, a complete algorithm system covering sensitivity identification, feature fusion, encrypted transmission and cultural image protection is established based on the ceramic teaching scene enabled by network security. ABSTRACT The digitalization of ceramic technology teaching generates sensitive multi‐modal data, including personal ...
Yuting Zhu +3 more
wiley +1 more source
Supervised Consensus Anchor Graph Hashing for Cross Modal Retrieval
Cross–modal hashing has gained significant attention due to its efficient computational capabilities and impressive retrieval performance. Most supervised methods rely on the auxiliary learning of a similarity matrix, which incurs computational ...
Rui Chen, Hongbin Wang
doaj +1 more source
Using advanced multiaxial bioreactor systems, this study investigated the effects of flexion, torsion, and static compression on whole intervertebral discs. High cycle asymmetric loading resulted in cell death in the nucleus pulposus and structural changes in the annulus fibrosus.
Amra Šećerović +8 more
wiley +1 more source
ABSTRACT Global municipal solid waste generation is projected to exceed 3.8 billion tonnes annually by 2050. This makes the need for smart, inclusive, and scalable waste valorization systems more urgent than ever. This review critically explores the shift from conventional waste management to intelligent, technology‐driven solutions aligned with ...
Segun E. Ibitoye +8 more
wiley +1 more source
Proxy-Based Semi-Supervised Cross-Modal Hashing
Due to the difficulty in obtaining label information in practical applications, semi-supervised cross-modal retrieval has emerged. However, the existing semi-supervised cross-modal hashing retrieval methods mainly focus on exploring the structural ...
Hao Chen, Zhuoyang Zou, Xinghui Zhu
doaj +1 more source
This study investigates the effect of IL‐33 and Hymenoptera venom on mast cell cytokine profiles under venom immunotherapy (VIT)‐like conditions. Our in vitro model of VIT‐like mast cell stimulation demonstrates a modulatory effect of IL‐33 on the secreted mast cell cytokine profile.
Andrea R. Teufelberger +3 more
wiley +1 more source

