OSUVA - Selaus tekijän "https://orcid.org/0000-0001-9304-6590" mukaan
Aineistot 1-20 / 42
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5G Communication Infrastructure for Smart Grids: A Protection Use Case
(IEEE, 26.10.2023)
articleA 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 Review on the Classification of Partial Discharges in Medium-Voltage Cables : Detection, Feature Extraction, Artificial Intelligence-Based Classification, and Optimization Techniques
(MDPI, 28.02.2024)
articleMedium-voltage (MV) cables often experience a shortened lifespan attributed to insulation breakdown resulting from accelerated aging and anomalous operational and environmental stresses. While partial discharge (PD) ... -
A Systematic Review of Machine Learning Techniques for GNSS Use Cases
(IEEE, 03.11.2022)
articleIn 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
(Springer, 15.01.2022)
articleMassive 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 ... -
Advanced-stage tongue squamous cell carcinoma : a machine learning model for risk stratification and treatment planning
(Taylor & Francis, 15.02.2023)
articleBackground 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 ... -
An Extreme Learning Machine Model for Venue Presence Detection
(Springer, 19.01.2023)
bookPartValue-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
(Elsevier, 13.10.2022)
articleBackground 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
(Elsevier, 23.04.2023)
articleBackground 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 ... -
Cancer Modeling-on-a-Chip with Future Artificial Intelligence Integration
(Wiley, 13.11.2019)
articleCancer 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 ... -
Comparison Between High Throughput and Efficiency of 802.11 Wireless Standards
(IEEE, 30.12.2022)
articleThe High-Efficiency (HE) standard is considered as generation Wi-FI 6, which is an improvement of legacy 802.11 standards. The new Wi-Fi 6 of 802.11ax standard aims to improve throughput and minimize latency. One of the ... -
Comparison of Machine Learning algorithms for venue presence with inclusion of neighbours
(IEEE, 29.12.2021)
articleUser presence determination for being inside a venue, such that the user is provided with possible value-added services, is of high significance. It will get more prominent as we move to 5G and 6G networks’ rollout as we’ll ... -
Cyber Security in Power Systems Using Meta-Heuristic and Deep Learning Algorithms
(IEEE, 22.02.2023)
articleSupervisory Control and Data Acquisition system linked to Intelligent Electronic Devices over a communication network keeps an eye on smart grids’ performance and safety. The lack of algorithms protecting the power system ... -
Deep Machine Learning for Oral Cancer : From Precise Diagnosis to Precision Medicine
(Frontiers Media, 11.01.2022)
articleOral 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
(IEEE, 30.01.2020)
articleThis 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
(Institution of Engineering and Technology, 06.06.2023)
articleThis 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). ... -
Emerging Technologies based Use Case Development for Condition Monitoring and Predictive Maintenance of MV Cables
(IEEE, 28.11.2023)
articleCondition 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
(Institute of Navigation, 09 / 2023)
articleReliable 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
(Elsevier, 21.03.2022)
articleAs 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 ... -
Forecasting Crude Oil Prices using a Hybrid Model Combining Long Short-Term Memory Neural Networks and Markov Switching Model
(IEEE, 19.07.2023)
articleGiven 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
(Scientific Research Pub., 2012)
articleIn 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 ...
