ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks-Reference-Cited by-同舟云学术

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ReFuSeAct: Representation fusion using self-supervised learning for activity recognition in next generation networks

Published:2024-02 Issue: Volume:102 Page:102044
ISSN:1566-2535
Container-title:Information Fusion
language:en
Short-container-title:Information Fusion

Author:

Khowaja Sunder Ali,Khuwaja Parus,Dharejo Fayaz Ali,Raza Saleem,Lee Ik Hyun,Naqvi Rizwan Ali,Dev Kapal^ORCID

Funder

Ministry of Education

Ministry of Science, ICT and Future Planning

National Research Foundation of Korea

Publisher

Elsevier BV

Subject

Hardware and Architecture,Information Systems,Signal Processing,Software

Reference46 articles.

1. Contextual activity based healthcare internet of things, services, and people (HIoTSP): an architectural framework for healthcare monitoring using wearable sensors;Khowaja;Comput. Netw.,2018

2. 5G technology in healthcare and wearable devices: a review;Devi;Sensors,2023

3. VIRFIM: an AI and internet of medical things-driven framework for healthcare using smart sensors;Khowaja;Neural Comput. Appl,2021

4. Toward soft real-time stress detection using wrist-worn devices for human workspaces;Khowaja;Soft Comput.,2021

5. Deep ConvLSTM with self-attention for human activity decoding using wearable sensors;Singh;IEEE Sens. J.,2021

Cited by 4 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. Revolutionizing healthcare: IoMT-enabled digital enhancement via multimodal ADL data fusion;Information Fusion;2024-11

2. A comprehensive evaluation method for frailty based on semi-supervised learning and transfer-learning;Information Fusion;2024-11

3. LCAMix: Local-and-contour aware grid mixing based data augmentation for medical image segmentation;Information Fusion;2024-10

4. LiCAFeL-STC: A Lightweight Cluster-Based Federated Learning Framework for Sensor-Based Human Activity Recognition Using Unlabeled Data in Heterogeneous Wearable Devices;2024 IEEE 48th Annual Computers, Software, and Applications Conference (COMPSAC);2024-07-02

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