An IoT-platform-based deep learning system for human behavior recognition in smart city monitoring using the Berkeley MHAD datasets
Internet of Things (IoT) technology has been rapidly developing and has been well utilized
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
in the field of smart city monitoring. The IoT offers new opportunities for cities to use data …
Internet of Things System Wearable Healthcare for Monitoring the Challenges of COVID-19 Pandemic
TS Znad, IAM Al Sayed, SS Hameed… - Journal of Robotics …, 2022 - journal.umy.ac.id
During the COVID-19 situation, various application-based work has to be studied and
deployed to enable an IoT-based health framework. This work-based study may guide …
deployed to enable an IoT-based health framework. This work-based study may guide …
Efficient Sensing Data Collection with Diverse Age of Information in UAV-Assisted System
With the high flexibility and low cost of the deployment of UAVs, the application of UAV-
assisted data collection has become widespread in the Internet of Things (IoT) systems …
assisted data collection has become widespread in the Internet of Things (IoT) systems …
Energy-Efficient Resource Allocation in Aerial Base Stations
Drones, or unmanned aerial vehicles, can be used as air base stations (UAV-BSs) for
telecommunications. They prove useful in situations where the network is overloaded or …
telecommunications. They prove useful in situations where the network is overloaded or …
A novel epidemic model for the interference spread in the internet of things
E Tuyishimire, JD Niyigena, FM Tubanambazi… - Information, 2022 - mdpi.com
Due to the multi-technology advancements, internet of things (IoT) applications are in high
demand to create smarter environments. Smart objects communicate by exchanging many …
demand to create smarter environments. Smart objects communicate by exchanging many …
IoT Research on Healthcare Data to Control Illness of Oncology
Let us begin with the internet of things that empowers software programmers to start
increasing prediction without being done with full to do so. With today's data availability …
increasing prediction without being done with full to do so. With today's data availability …
A Formal Specification of a Data Model for Malaria Surveillance in the Developing World
E Tuyishimire - arXiv preprint arXiv:2404.17859, 2024 - arxiv.org
The fourth Industrial Revolution (4IR), together with the COVID-19 pandemic have made a
loud call for digitizing diagnosis processes. The world is now convinced that it is imperative …
loud call for digitizing diagnosis processes. The world is now convinced that it is imperative …
A Data Management Model for Malaria Control: A Case of Rwanda
HR Mary, CP Mukamakuza… - 2023 IEEE AFRICON, 2023 - ieeexplore.ieee.org
We are in an era when the diagnosis of diseases benefits greatly from digitizing their control.
On the other hand, malaria is a long-standing yet one of the deadliest diseases. Its diagnosis …
On the other hand, malaria is a long-standing yet one of the deadliest diseases. Its diagnosis …
IT-Aided Forecasting Model for Malaria Spread for the Developing World
E Tuyishimire, CP Mukamakuza… - 2023 Conference on …, 2023 - ieeexplore.ieee.org
Malaria is a long-standing disease and one of the top life-threatening diseases, yet its
treatment has not changed, while the world has already embraced the Fourth Industrial …
treatment has not changed, while the world has already embraced the Fourth Industrial …
Energy-Efficient Resource Allocation in Aerial Base Stations.
RH Torres, DL Cardoso - Electronics (2079-9292), 2023 - search.ebscohost.com
Drones, or unmanned aerial vehicles, can be used as air base stations (UAV-BSs) for
telecommunications. They prove useful in situations where the network is overloaded or …
telecommunications. They prove useful in situations where the network is overloaded or …