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    Unlocking biological complexity: the role of machine learning in integrative multi-omics by Ravindra Kumar, Rajrani Ruhel, Andre J. van Wijnen

    Published 2024-11-01
    “… The increasing complexity of biological systems demands advanced analytical approaches to decode the underlying mechanisms of health and disease. Integrative multi-omics approaches use multi-layered datasets such as genomic, transcriptomic, proteomic, and metabolomic data to understand biological processes much more comprehensively compared to the single-omics analysis and to provide a comprehensive view of cellular and molecular processes. …”
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  3. 823

    Enhanced analysis of tabular data through Multi-representation DeepInsight by Alok Sharma, Yosvany López, Shangru Jia, Artem Lysenko, Keith A. Boroevich, Tatsuhiko Tsunoda

    Published 2024-06-01
    “…In this paper, we present Multi-representation DeepInsight (MRep-DeepInsight), a novel extension of the DeepInsight method designed to enhance the analysis of tabular data. …”
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    From single to multi-stage forming process of copper thin sheet by Lagroum Amine, Manach Pierre-Yves, Thuillier Sandrine

    Published 2025-01-01
    “…This paper deals with the progressive forming of copper parts with single and multi-stage process coupled with experimental and numerical approaches for bending operations. …”
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    Multi-camera video collaborative analysis method based on edge computing by Zhibo QI, Lei DU, Ru HUO, Fan YANG, Tao HUANG

    Published 2023-08-01
    “…In order to reduce the processing volume of multi-camera real-time video data in smart city scenarios, a video collaborative analysis method based on machine learning algorithms at the edge was proposed.Firstly, for the important objects detected by each camera, different key windows were designed to filter the region of interest (RoI) in the video, reduce the video data volume and extract its features.Then, based on the extracted data features, the same objects in the videos from different cameras were annotated, and a strategy for calculating the association degree value between cameras was designed for further reducing the video data volume.Finally, the GC-ReID algorithm based on graph convolutional network (GCN) and re-identification (ReID) was proposed, aiming at achieving the collaborative analysis of multi-camera videos.The experimental results show that proposed method can effectively reduce the system latency and improve the video compression rate while ensuring the high accuracy, compared with the existing video analysis methods.…”
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    Advances in the application of multi-omics and machine learning technologies in sepsis research by Chen Pengpeng, Yang Jie, Jin Xinhao, Zhang Bo, Yang Suibi, Hong Yucai, Ni Hongying, Zhang Zhongheng

    Published 2024-12-01
    “…Sepsis is one of the major global health challenges, with its complex pathological mechanisms and multi -organ dysfunction posing serious threats to patient survival. …”
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