Results 71 to 80 of about 4,404,768 (300)
FEBS Open Bio, EarlyView.This protocol paper outlines methods to establish the success of a time‐resolved serial crystallographic experiment, by means of statistical analysis of timepoint data in reciprocal space and models in real space. We show how to amplify the signal from excited states to visualise structural changes in successful experiments.
Jake Hill +4 more
wiley +1 more source
Multi-Modal Biometrics: Applications, Strategies and Operations [PDF]
, 2015 The need for adequate attention to security of lives and properties cannot be over-emphasised. Existing approaches to security management by various agencies and sectors have focused on the use of possession (card, token) and knowledge (password ...
Udoh S. S, Iwasokun Gabriel
core
Towards Cross-Lingual Multi-Modal Misinformation Detection for E-Commerce Management
, 2023 The misinformation detection systems are increasingly important in E-commerce management, which detect misinformation on the commodity display page. Misinformation in E-commerce is usually presented as a mismatch between multi-modal information, the ...
Zhao Li +11 more
core +1 more source
Cross-modal retrieval based on multi-dimensional feature fusion hashing
Frontiers in PhysicsAlong with the continuous breakthrough and popularization of information network technology, multi-modal data, including texts, images, videos, and audio, is growing rapidly.
Dongxiao Ren, Weihua Xu
doaj +1 more source
FEBS Open Bio, EarlyView.The dFoCC pipeline starts with observed DED and resting‐state coordinates, which are then used to generate a library of triggered states. Correlation analysis of the calculated DED features of each candidate vs observed DED permits quantitative evaluation of candidate structural quality.
Meng Iao Fong +3 more
wiley +1 more source
Robust multi-modal and multi-unit feature level fusion of face and iris biometrics [PDF]
, 2008 Multi-biometrics has recently emerged as a mean of more robust and effcient personal verification and identification. Exploiting information from multiple sources at various levels i.e., feature, score, rank or decision, the false acceptance and ...
Massimo Tistarelli +3 more
core +3 more sources
Feature-Fusion Guidelines for Image-Based Multi-Modal Biometric Fusion
South African Computer Journal, 2017 The feature level, unlike the match score level, lacks multi-modal fusion guidelines. This work demonstrates a new approach for improved image-based biometric feature-fusion. The approach extracts and combines the face, fingerprint and palmprint at the feature level for improved human identification accuracy.
Dane Brown, Karen L. Bradshaw
openaire +5 more sources
FEBS Open Bio, EarlyView.UiO‐66(Zr) metal–organic frameworks are chemically stable, biocompatible, and highly tunable nanomaterials. Their modular structure enables controlled drug delivery, multimodal bioimaging, and light‐activated photodynamic therapy, supporting integrated diagnostic and therapeutic (theranostic) applications in cancer and biomedical research.
Veronika Huntošová +2 more
wiley +1 more source
Directed evolution of enzymes at the crossroads of tradition and innovation
FEBS Open Bio, EarlyView.An iterative cycle of data‐driven enzyme optimization comprising four stages: genetic diversification of a template enzyme, expression of protein variants, high‐throughput evaluation, and machine‐learning‐guided redesign of the next variant library.
Maria Tomkova +2 more
wiley +1 more source
IEEE AccessMulti-modal personality traits recognition is crucial for advancing human-computer interaction, yet current methods struggle with extracting distinguishable features, mitigating inter-modal noise, and aligning heterogeneous modalities, thereby limiting ...
Yusong Wang +3 more
doaj +1 more source