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    • Cyber-physical attack and the future energy systems : A review 

      Diaba, Sayawu Yakubu; Shafie-khah, Miadrezah; Elmusrati, Mohammed (Elsevier, 06.09.2024)
      article
      As the world increasingly relies on interconnected energy systems, the threat of cyber-physical attacks on these vital infrastructures has escalated, posing significant challenges to the security and reliability of future ...

    • Deep learning-based evaluation of photovoltaic power generation 

      Diaba, Sayawu Yakubu; Alola, Andrew Adewale; Simões, Marcelo Godoy; Elmusrati, Mohammed (Elsevier, 14.08.2024)
      article
      Photovoltaic (PV) power generation has emerged as a rapidly growing renewable energy source. However, the PV system output’s intermittent and weather-dependent nature poses challenges when integrating with the power grid. ...

    • Deep Machine Learning for Oral Cancer : From Precise Diagnosis to Precision Medicine 

      Alabi, Rasheed Omobolaji; Almangush, Alhadi; Elmusrati, Mohammed; Mäkitie, Antti A. (Frontiers Media, 11.01.2022)
      article
      Oral squamous cell carcinoma (OSCC) is one of the most prevalent cancers worldwide and its incidence is on the rise in many populations. The high incidence rate, late diagnosis, and improper treatment planning still form ...

    • Design and Implementation of a Wireless Automation Module for Diesel Engines 

      Siemuri, Akpojoto; Glocker, Tobias; Mekkanen, Mike; Kauhaniemi, Kimmo; Mantere, Timo; Rösgren, Jonatan; Kuusisto, Jari; Elmusrati, Mohammed (IEEE, 30.01.2020)
      article
      This paper describes the design of wireless CAN protocol with the aim to replace existing wired CAN protocol communication between the Smart NOx sensor on diesel engines and the Engine Control Unit (ECU). Wireless industrial ...

    • Design and implementation of a wireless CAN module for marine engines using ZigBee protocol 

      Siemuri, Akpojoto; Glocker, Tobias; Mekkanen, Mike; Kauhaniemi, Kimmo; Mantere, Timo; Elmusrati, Mohammed (Institution of Engineering and Technology, 06.06.2023)
      article
      This paper describes the design and implementation of a wireless control area network (CAN bus) protocol for communication between the smart NOx (nitrogen oxide) sensor on diesel engines and the engine control unit (ECU). ...

    • Dynamic sensitivity‐based clustering of distributed energy resources using LoRaWAN technology for voltage regulation in distribution networks 

      Gargoom, Ameen; Elmusrati, Mohammed; Gaouda, Ahmed (Institution of engineering and technologyJohn Wiley & Sons Ltd, 05.12.2024)
      article
      As the penetration level of renewable energies increases, many inverter-based resources (IBRs) managing algorithms are proposed to control the impact of this penetration on the system. Some of these algorithms are based ...

    • Emerging Technologies based Use Case Development for Condition Monitoring and Predictive Maintenance of MV Cables 

      Kumar, Haresh; Kauhaniemi, Kimmo; Elmusrati, Mohammed; Shafiq, Muhammad (IEEE, 28.11.2023)
      article
      Condition monitoring (CM) and predictive maintenance (PM) techniques can provide a system to achieve a high quality of service with minimal maintenance costs. Using CM -based data, repairing assets is possible based on ...

    • Emerging Wireless Technologies for Reliable Indoor Navigation in Industrial Environments 

      Elsanhoury, Mahmoud; Siemuri, Akpojoto; Nieminen, Jyri; Välisuo, Petri; Koljonen, Janne; Kuusniemi, Heidi; Elmusrati, Mohammed (Institute of Navigation, 09 / 2023)
      article
      Reliable positioning systems are key drivers for location-based services in smart logistics and internet of things (IoT) applications amid the era of Industry 4.0. They are the foundation blocks upon which navigation ...

    • Enhancing the operation of smart inverters with PMU and data concentrators 

      Gargoom, Ameen; Elmusrati, Mohammed; Gaouda, Ahmed (Elsevier, 21.03.2022)
      article
      As inverter-based distributed energy resources (DERs) continue to proliferate in the distribution systems and provide a significant part of the generation, enhancing the visibility of the system for coupling transmission ...

    • Evaluation of Optimization Algorithms for Customers Load Schedule 

      Diaba, Sayawu Yakubu; Elmusrati, Mohammed; Shafie-khah, Miadreza; Ao, S. I.; Castillo, Oscar; Douglas, Craig; Feng, David Dagan (International Association of Engineers (IAENG)Newswood Limited, 2021)
      article
      This paper introduces a novel concept for customer load scheduling in the Smart Grid (SG). The concept is based on the forthcoming internet of things (IoT). Approximate optimization algorithms are deduced for optimum ...

    • Forecasting Crude Oil Prices using a Hybrid Model Combining Long Short-Term Memory Neural Networks and Markov Switching Model 

      Shahbazbegian, Vahid; Hosseininesaz, Hamid; Shafie-Khah, Miadreza; Elmusrati, Mohammed (IEEE, 19.07.2023)
      article
      Given the significant impact of crude oil prices on the global economy, accurately predicting their fluctuations is essential for effective decision-making in the energy sector. Therefore, this research aims to develop a ...

    • Framework for Random Power Allocation of Wireless Sensor Networks in Fading Channels 

      Elmusrati, Mohammed; Tarhuni, Naser; Jäntti, Riku (Scientific Research Pub., 2012)
      article
      In naturally deaf wireless sensor networks or generally when there is no feedback channel, the fixed-level transmit power of all nodes is the conventional and practical power allocation method. Using random power allocation ...

    • Implementation of an intelligent caravan monitoring system using a simple serial communication protocol for microcontrollers (SSCPM) 

      Glocker, Tobias; Mantere, Timo (Institute of Electrical and Electronics Engineers (IEEE), 2019)
      conferenceObject
      Safety applications play an essential role in our daily life. Without them many accidents would have happened. Especially nowadays, where the amount of traffic increases year by year, safety applications have become an ...

    • Improving Precision GNSS Positioning and Navigation Accuracy on Smartphones using Machine Learning 

      Siemuri, Akpojoto; Selvan, Kannan; Kuusniemi, Heidi; Välisuo, Petri; Elmusrati, Mohammed S. (The Institute of Navigation, 2021)
      article
      In this work, we developed a precision positioning algorithm for multi-constellation dual-frequency global navigation satellite systems (GNSS) receivers that predicts the latitude and longitude from smartphone GNSS data. ...

    • Indoor Asset Tracking in Dense Industrial Environments Using Low-cost Wireless Technologies 

      Elsanhoury, Mahmoud; Nieminen, Jyri; Välisuo, Petri; Siemuri, Akpojoto; Koljonen, Janne; Elmusrati, Mohammed; Kuusniemi, Heidi; Ometov, Aleksandr; Nurmi, Jari; Lohan, Elena Simona; Torres-Sospedra, Joaquín; Kuusniemi, Heidi (R. Piskac c/o Redaktion Sun SITE, Informatik V, RWTH Aachen, 07.07.2023)
      article
      Location based services are becoming abundant and more reliable in today’s world thanks to the technological advancements achieved in the fields of positioning, navigation, and timing. Indoor asset tracking is an essential ...

    • Interpretable machine learning model for prediction of overall survival in laryngeal cancer 

      Alabi, Rasheed Omobolaji; Almangush, Alhadi; Elmusrati, Mohammed; Leivo, Ilmo; Mäkitie, Antti A. (Taylor & Francis, 27.01.2024)
      article
      Background: The mortality rates of laryngeal squamous cell carcinoma cancer (LSCC) have not significantly decreased in the last decades. Objectives: We primarily aimed to compare the predictive performance of DeepTables ...

    • Localization services for online common operational picture and situation awareness 

      Björkbom, Mikael; Timonen, Jussi; Yigitler, Huseyin; Kaltiokallio, Ossi; Vallet, Jose M. Garcia; Myrsky, Matthieu; Saarinen, Jari; Korkalainen, Marko; Cuhac, Caner; Koivo, Heikki N.; Jäntti, Riku; Virrankoski, Reino; Vankka, Jouko (IEEE, 25.10.2013)
      article
      Many operations, be they military, police, rescue, or other field operations, require localization services and online situation awareness to make them effective. Questions such as how many people are inside a building and ...

    • Machine learning and wearable devices for Phonocardiogram-based diagnosis 

      Abdelmageed, Shaima; Elmusrati, Mohammed; Meghanathan, Natarajan; Nagamalai, Dhinaharan (AIRCC, 2019)
      article
      The heart sound signal, Phonocardiogram (PCG) is difficult to interpret even for experienced cardiologists. Interpretation are very subjective depending on the hearing ability of the physician. mHealth has been the adopted ...

    • Machine learning application for prediction of locoregional recurrences in early oral tongue cancer: a web-based prognostic tool 

      Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Sawazaki-Calone, Iris; Kowalski, Luiz Paulo; Haglund, Caj; Coletta, Ricardo D.; Mäkitie, Antti A.; Salo, Tuula; Leivo, Ilmo; Almangush, Alhadi (Springer, 17.08.2019)
      article
      Estimation of risk of recurrence in early-stage oral tongue squamous cell carcinoma (OTSCC) remains a challenge in the field of head and neck oncology. We examined the use of artificial neural networks (ANNs) to predict ...

    • Machine learning explainability in nasopharyngeal cancer survival using LIME and SHAP 

      Alabi, Rasheed Omobolaji; Elmusrati, Mohammed; Leivo, Ilmo; Almangush, Alhadi; Mäkitie, Antti A. (Springer Nature, 02.06.2023)
      article
      Nasopharyngeal cancer (NPC) has a unique histopathology compared with other head and neck cancers. Individual NPC patients may attain different outcomes. This study aims to build a prognostic system by combining a highly ...