Selaus Oppiaineen mukaanTietoliikennetekniikka

    • 5G Communication Infrastructure for Smart Grids: A Protection Use Case 

      Saleh, Talal; Välisuo, Petri; Kauhaniemi, Kimmo; Elmusrati, Mohammed (IEEE, 26.10.2023)
      article
      A smart grid is an advanced electricity network enabled by the Internet of Things (IoT), Information and Communication Technology (ICT), and advanced grid technologies. 5G and beyond networks are expected to serve as the ...
    • A Secured Wireless Remote Control and Monitoring System with Redundancy 

      Liu, Yang (2005)
      Diplomityö
      Automated substation monitoring, diagnostics, and remote control systems provide many useful operating and reliability advantages. Their widespread use is, however, limited because of high costs making them economically ...
    • A Systematic Review of Machine Learning Techniques for GNSS Use Cases 

      Siemuri, Akpojoto; Selvan, Kannan; Kuusniemi, Heidi; Välisuo, Petri; Elmusrati, Mohammed S. (IEEE, 03.11.2022)
      article
      In terms of the availability and accuracy of positioning, navigation, and timing (PNT), the traditional Global Navigation Satellite System (GNSS) algorithms and models perform well under good signal conditions. In order ...
    • Achievable rate approximation for massive MIMO with limited number of interfering clients 

      Abu Ella, Omar; Elmusrati, Mohammed (Springer, 15.01.2022)
      article
      Massive MIMO has become a core technology for the next generation of wireless communications, and the non-linear group decoding schemes can achieve better spectral and energy efficiency, which in turn leads to higher data ...
    • Admission Control for Multiuser Communication Systems 

      Imran, Ali (2010)
      Diplomityö
      During the last few years, broadband wireless communication has experienced very rapid growth in telecommunications industry. Hence, the performance analysis of such systems is one of the most important topics. However, ...
    • Advanced-stage tongue squamous cell carcinoma : a machine learning model for risk stratification and treatment planning 

      Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Leivo, Ilmo; Almangush, Alhadi; Mäkitie, Antti A. (Taylor & Francis, 15.02.2023)
      article
      Background A significant number of tongue squamous cell carcinoma (TSCC) patients are diagnosed at late stage. Objectives We primarily aimed to develop a machine learning (ML) model based on ensemble ML paradigm to ...
    • AMBIENT NETWORKS -VISIO JA -LIIKETOIMINTASUHTEET 

      Takala, Ari (2013)
      Diplomityö
      Internetiä käyttävien päätelaitteiden määrä on kasvanut räjähdysmäisesti 2000-luvulla. Kun siirryttiin 3G- ja 4G-aikaan, niin erityisesti mobiilit päätelaitteet kuten älypuhelimet ja taulutietokoneet ovat lisänneet verkon ...
    • An Extreme Learning Machine Model for Venue Presence Detection 

      Khan, Wiqar; Raza, Asif; Kuusniemi, Heidi; Elmusrati, Mohammed; Espinosa-Leal, Leonardo; Björk, Kaj-Mikael (Springer, 19.01.2023)
      bookPart
      Value-added services allocation or denial in a particular venue for a given user is of high significance. It will get more prominent as we move to 5G and 6G networks’ roll out, as we will get other means to have better ...
    • An interpretable machine learning prognostic system for risk stratification in oropharyngeal cancer 

      Alabi, Rasheed Omobolaji; Almangush, Alhadi; Elmusrati, Mohammed; Leivo, Ilmo; Mäkitie, Antti A. (Elsevier, 13.10.2022)
      article
      Background The optimal management of oropharyngeal squamous cell carcinoma (OPSCC) includes both surgical and non-surgical, that is, (chemo)radiotherapy treatment options and their combinations. These approaches carry ...
    • Application of artificial intelligence for overall survival risk stratification in oropharyngeal carcinoma : A validation of ProgTOOL 

      Alabi, Rasheed Omobolaji; Sjöblom, Anni; Carpén, Timo; Elmusrati, Mohammed; Leivo, Ilmo; Almangush, Alhadi; Mäkitie, Antti A. (Elsevier, 23.04.2023)
      article
      Background In recent years, there has been a surge in machine learning-based models for diagnosis and prognostication of outcomes in oncology. However, there are concerns relating to the model’s reproducibility and ...
    • Application of Machine Learning to GNSS/IMU Integration for High Precision Positioning on Smartphone 

      Siemuri, Akpojoto; Elsanhoury, Mahmoud; Välisuo, Petri; Kuusniemi, Heidi; Elmusrati, Mohammed S. (The Institute of Navigation, 09 / 2022)
      article
      This paper describes our solution for the Google smartphone decimeter challenge (GSDC), which was held from May to August 2022. The GSDC is a competition for improving positioning accuracy of smartphones. The global ...
    • APPLIED CRYPTOGRAPHY IN EMBEDDED SYSTEMS 

      Yang, Qian (2013)
      Diplomityö
      Nowadays, it is widely recognized that data security will play a central role in the design of IT devices. There are more than billion wireless users by now; it faces a growing need for security of embedded applications. This ...
    • Automated Multimedia Testing in Mobile Devices 

      Peltoketo, Veli-Tapani (2011)
      Diplomityö
      The goal of the thesis was to create a test automation tool which can be used to the multimedia testing of the mobile devices. The research contained a development of the software architecture which supports all needed ...
      Kokoteksti luettavissa vain Tritonian asiakaskoneilla.
    • Automated testing with Wireless Communication in the digitalised industry : A case study of Mirka Oy 

      Shakeel, Waqas (24.04.2020)
      Diplomityö
      Advanced automation technologies are changing the dynamics of the process and manufacturing industries. Product development processes are becoming smarter with the application of intelligent solutions and automated testing. ...
    • Benchmarking Q-learning methods for intelligent network orchestration in the edge 

      Reijonen, Joel; Opsenica, Miljenko; Kauppinen, Tero; Komu, Miika; Kjällman, Jimmy; Mecklin, Tomas; Hiltunen, Eero; Arkko, Jari; Simanainen, Timo; Elmusrati, Mohammed (IEEE, 13.05.2020)
      conferenceObject
      We benchmark Q-learning methods, with various action selection strategies, in intelligent orchestration of the network edge. Q-learning is a reinforcement learning technique that aims to find optimal action policies by ...
    • Camera Integration to Wireless Sensor Node 

      Cuhac, Caner (2011)
      Lisensiaatintyö
      A wireless sensor node with a vision sensing and image processing capabilities has a great utilisation potential in many industrial, healthcare and military applications. University of Vaasa has recently been developing a ...
    • Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration 

      Fetah, Kirsten Lee; DiPardo, Benjamin J.; Kongadzem, Eve-Mary; Tomlinson, James S.; Elzagheid, Adam; Elmusrati, Mohammed; Khademhosseini, Ali; Ashammakhi, Nureddin (Wiley, 13.11.2019)
      article
      Cancer is one of the leading causes of death worldwide, despite the large efforts to improve the understanding of cancer biology and development of treatments. The attempts to improve cancer treatment are limited by the ...
    • Channel Allocation in An Overlaid Mesh Network 

      Nazrul Alam, Mirza (2008)
      Diplomityö
      In spite of recent advancement of Wireless Mesh Technology, a lot of research challenges remained to be solved to extract the full capacity of this modern technology. As 802.11a/b/g standards make available the use of multi ...
    • Clinical significance of tumor-stroma ratio in head and neck cancer : a systematic review and meta-analysis 

      Almangush, Alhadi; Alabi, Rasheed Omobolaji; Troiano, Giuseppe; Coletta, Ricardo D.; Salo, Tuula; Pirinen, Matti; Mäkitie, Antti A.; Leivo, Ilmo (BioMed Central, 30.04.2021)
      article
      Background The clinical significance of tumor-stroma ratio (TSR) has been examined in many tumors. Here we systematically reviewed all studies that evaluated TSR in head and neck cancer. Methods Four databases (Scopus, ...
    • Cloud Computing 

      Haq, Hafiz (2013)
      Diplomityö
      In the recent years, Cloud Computing has become very popular and an interesting subject in the field of science and technology. The research efforts in the Cloud Computing have led to a number of applications used for the ...