Physicochemical Profiling of Macrophage Heterogeneity Using Deep Learning Integrated Nanosensor Cytometry.
Sign Up to like & getrecommendations! Published in 2023 at "ACS sensors"
DOI: 10.1021/acssensors.2c02813
Abstract: Label-free single-cell analytics have been developed for understanding the collective immune response mechanism of immune cells. However, it remains difficult to analyze the physicochemical properties of a single cell in high spatiotemporal resolution for an… read more here.
Keywords: integrated nanosensor; cell; learning integrated; deep learning ... See more keywords
Machine learning-integrated omics for the risk and safety assessment of nanomaterials.
Sign Up to like & getrecommendations! Published in 2021 at "Biomaterials science"
DOI: 10.1039/d0bm01672a
Abstract: With the advancement in nanotechnology, we are experiencing transformation in world order with deep insemination of nanoproducts from basic necessities to advanced electronics, health care products and medicines. Therefore, nanoproducts, however, can have negative side… read more here.
Keywords: machine learning; safety; assessment; learning integrated ... See more keywords
Shifting Practices in Digital Workplace Learning: An Integrated Approach to Learning, Knowledge Management, and Knowledge Sharing
Sign Up to like & getrecommendations! Published in 2017 at "Human Resource Development International"
DOI: 10.1080/13678868.2017.1308460
Abstract: No one can dispute the impact that technology innovation, especially the rapid development of information technology (IT), has on our work and life. It has not only created performance improvement ... read more here.
Keywords: shifting practices; integrated approach; workplace learning; learning integrated ... See more keywords
FLIRRAS: Fast Learning With Integrated Reward and Reduced Action Space for Online Multitask Offloading
Sign Up to like & getrecommendations! Published in 2023 at "IEEE Internet of Things Journal"
DOI: 10.1109/jiot.2022.3222295
Abstract: With the rapid development of edge data intelligence, task offloading (TO) and resource allocation (RA) optimization in multiaccess edge computing networks can significantly improve the Quality of Service (QoS). However, for the online scenario, traditional… read more here.
Keywords: fast learning; action space; learning integrated; space ... See more keywords