Search for dissertations about: "Rahim Rahmani"

Showing result 1 - 5 of 13 swedish dissertations containing the words Rahim Rahmani.

  2. 1. Active queue management for quality of service in heterogeneous networks : design of active queue management for access routers

    Author : Rahim Rahmani; Theo Kanter; Christer Åhlund; Tingting Zhang; Mittuniversitetet; []
    Keywords : TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Computer engineering; Datorteknik;

    Abstract : .... READ MORE

  4. 2. Models for quality of service in heterogenoeous networks

    Author : Rahim Rahmani; Mittuniversitetet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Computer science; Datavetenskap;

    Abstract : 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. READ MORE

  5. 3. Advancing Clinical Decision Support Using Machine Learning & the Internet of Medical Things : Enhancing COVID-19 & Early Sepsis Detection

    Author : Mahbub Ul Alam; Rahim Rahmani; Jaakko Hollmén; Sadok Ben Yahia; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Medical Things; Patient-Centric Healthcare; Clinical Decision Support System; Predictive Modeling in Healthcare; Health Informatics; Healthcare analytics; COVID-19; Sepsis; COVID-19 Detection; Early Sepsis Detection; Lung Segmentation Detection; Medical Data Annotation Scarcity; Medical Data Sparsity; Medical Data Heterogeneity; Medical Data Security Privacy; Practical Usability Enhancement; Low-End Device Adaptability; Medical Significance; Interpretability; Visualization; LIME; SHAP; Grad-CAM; LRP; Electronic Health Records; Thermal Image; Tabular Medical Data; Chest X-ray; Machine Learning; Deep Learning; Federated Learning; Semi-Supervised Machine Learning; Multi-Task Learning; Transfer Learning; Multi-Modality; Natural Language Processing; ClinicalBERT; GAN; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : 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. READ MORE

  6. 4. Blockchain and Distributed Hash Table Technology in Decentralized Systems

    Author : Morteza Alizadeh; Karl Andersson; Rahim Rahmani; Luleå tekniska universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Pervasive Mobile Computing; Distribuerade datorsystem;

    Abstract : 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. READ MORE

  7. 5. Distributed Intelligence for IoT Systems Using Edge Computing

    Author : Ramin Firouzi; Rahim Rahmani; Thashmee Karunaratne; Sadok Ben Yahia; Stockholms universitet; []
    Keywords : NATURVETENSKAP; NATURAL SCIENCES; Internet of Things IoT ; Edge Computing; Distributed Intelligence; Software Defined Networking SDN ; Federated Learning; 5G; O-RAN; Network Slicing; Reinforcement Learning; data- och systemvetenskap; Computer and Systems Sciences;

    Abstract : 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. READ MORE