Sökning: "Rahim Rahmani"
Visar resultat 1 - 5 av 12 avhandlingar innehållade orden Rahim Rahmani.
1. Active queue management for quality of service in heterogeneous networks : design of active queue management for access routers
Sammanfattning : .... LÄS MER
2. Models for quality of service in heterogenoeous networks
Sammanfattning : Both streaming techniques and wireless heterogeneous networks have recently become more widely deployed. As the current streaming techniques are primarily designed for homogenous wired networks, streaming multimedia applications in heterogeneous networks can perform poorly due to wireless networks conditions and vertical handover. LÄS MER
3. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection
Sammanfattning : This thesis presents a critical examination of the positive impact of Machine Learning (ML) and the Internet of Medical Things (IoMT) for advancing the Clinical Decision Support System (CDSS) in the context of COVID-19 and early sepsis detection.It emphasizes the transition towards patient-centric healthcare systems, which necessitate personalized and participatory care—a transition that could be facilitated by these emerging fields. LÄS MER
4. Blockchain and Distributed Hash Table Technology in Decentralized Systems
Sammanfattning : The Internet of Things (IoT) is one of the popular domains in real-time analytics, ma-chine learning, ubiquitous computing, commodity sensors, and embedded systems where remote smart devices play notable roles in smart homes and industry. The information from emerging IoT environments like remotely-controlled objects, autonomous vehicles (AVs), and energy management can produce a huge amount of data. LÄS MER
5. Distributed Intelligence for IoT Systems Using Edge Computing
Sammanfattning : Over the past decade, the Internet of Things (IoT) has undergone a paradigm shift away from centralized cloud computing to edge computing. Hundreds of billions of things are estimated to be deployed in the rapidly advancing IoT paradigm, resulting in an enormous amount of data. LÄS MER