Comprehensive survey of iot, machine learning, and blockchain for health care applications: A topical assessment for pandemic preparedness, challenges, and …
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …
An overview of indoor localization system for human activity recognition (HAR) in healthcare
The number of older people needing healthcare is a growing global phenomenon. The
assistance in long-term care comprises a complex of medical, nursing, rehabilitation, and …
assistance in long-term care comprises a complex of medical, nursing, rehabilitation, and …
Indoor positioning system based on bluetooth low energy technology and a nature-inspired optimization algorithm
P Bencak, D Hercog, T Lerher - Electronics, 2022 - mdpi.com
Warehousing is one of the most important activities in the supply chain, enabling competitive
advantage. Effective management of warehousing processes is, therefore, crucial for …
advantage. Effective management of warehousing processes is, therefore, crucial for …
Improving blockchain performance in clinical trials using intelligent optimal transaction traffic control mechanism in smart healthcare applications
Blockchain technology has revolutionized the ways of processing and storing data in terms
of reliability and security. Blockchain plays a pivotal role in transferring the processing …
of reliability and security. Blockchain plays a pivotal role in transferring the processing …
RETRACTED ARTICLE: Federated recognition mechanism based on enhanced temporal-spatial learning using mobile edge sensors for firefighters
Abstract Background Interest in Human Action Recognition (HAR), which encompasses both
household and industrial settings, is growing. HAR describes a computer system's capacity …
household and industrial settings, is growing. HAR describes a computer system's capacity …
A novel hybrid strategy based on Swarm and Heterogeneous Federated Learning using model credibility awareness for activity recognition in cross-silo multistorey …
The novel HAR-SHFDL system leverages a Swarm Heterogeneous Federated Deep
Learning framework for smartphone-based Human Activity Recognition (HAR). Unlike …
Learning framework for smartphone-based Human Activity Recognition (HAR). Unlike …
Swarm Learning Empowered Federated Deep Learning for Seamless Smartphone-Based Activity Recognition
In the landscape of smartphone-based human activity recognition (S-HAR), adopting
Federated Deep Learning (FDL) introduces challenges, notably in communication …
Federated Deep Learning (FDL) introduces challenges, notably in communication …
Cost-effective filtering of unreliable proximity detection results based on BLE RSSI and IMU readings using smartphones
Indoor environments are a major challenge in the domain of location-based services due to
the inability to use GPS. Currently, Bluetooth Low Energy has been the most commonly used …
the inability to use GPS. Currently, Bluetooth Low Energy has been the most commonly used …
Recent Advances in WSN-based Indoor Localization: A Systematic Review of Emerging Technologies, Methods, Challenges and Trends
NS Ahmad - IEEE Access, 2024 - ieeexplore.ieee.org
Indoor localization (IL) systems are crucial for enhancing operational efficiency, safety, and
user experience by allowing precise tracking of objects, robots, or individuals within various …
user experience by allowing precise tracking of objects, robots, or individuals within various …
[PDF][PDF] Imran; Imtiaz, J.; Fayaz, M.; Gwak, J. Comprehensive Survey of IoT
M Imran, U Zaman - Machine Learning, and Blockchain …, 2021 - pdfs.semanticscholar.org
Internet of Things (IoT) communication technologies have brought immense revolutions in
various domains, especially in health monitoring systems. Machine learning techniques …
various domains, especially in health monitoring systems. Machine learning techniques …