• Performance Analysis of Thermal Image Processing-Based Photovoltaic Fault Detection and PV Array Reconfiguration—A Detailed Experimentation 

      Alwar, Srinivasan; Samithas, Devakirubakaran; Boominathan, Meenakshi Sundaram; Balachandran, Praveen Kumar; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2022)
      Due to the flexibility, sustainability, affordability, and ease of installation of solar photovoltaic systems, their use has significantly increased over the past two decades. The performance of a solar PV system can be ...
    • Performance Evaluation of Static PV Array Configurations for Mitigating Mismatch Losses 

      Devakirubakaran, S.; Verma, Rajesh; Chokkalingam, Bharatiraja; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2023)
      Solar photovoltaic (PV) systems are susceptible to power loss caused by environmental factors such as partial shading and temperature changes. To address this issue, PV modules are connected in array configurations. However, ...
    • Performance of Vector-Controlled PMSM Drive Without Using Current Sensors 

      Badini, Sai Shiva; Verma, Vimlesh; Tariq, Mohd; Urooj, Shabana; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2022)
      The current sensorless vector-controlled permanent-magnet synchronous motor (PMSM) drive using a single sensor (i.e., speed sensor) is presented in this work. The current sensors are removed, and the estimated currents are ...
    • Predicting COVID-19 cases in South Korea with all K-edited nearest neighbors noise filter and machine learning techniques 

      Oyewola, David Opeoluwa; Dada, Emmanuel Gbenga; Misra, Sanjay; Damaševičius, Robertas (Peer reviewed; Journal article, 2021)
      The application of machine learning techniques to the epidemiology of COVID-19 is a necessary measure that can be exploited to curtail the further spread of this endemic. Conventional techniques used to determine the ...
    • Prediction models for bond strength of steel reinforcement with consideration of corrosion 

      Ahmadi, Masoud; Kheyroddin, Ali; Kioumarsi, Mahdi (Peer reviewed; Journal article, 2021)
      Corrosion phenomena is one of the main deterioration causes, which remarkably affects the behavior of structural reinforced concrete (RC) members in seismic regions. Researches on reducing rehabilitation cost, performance ...
    • Predictive Analytics and Software Defect Severity: A Systematic Review and Future Directions 

      Olaleye, T. O.; Arogundade, O. T.; Misra, Sanjay; Abayomi-Alli, A.; Kose, Utku (Peer reviewed; Journal article, 2023)
      Software testing identifies defects in software products with varying multiplying effects based on their severity levels and sequel to instant rectifications, hence the rate of a research study in the software engineering ...
    • Probabilistic Optimization Techniques in Smart Power System 

      Riaz, Muhammad; Ahmad, Sadiq; Hussain, Irshad; Naeem, Muhammad; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2022)
      Uncertainties are the most significant challenges in the smart power system, necessitating the use of precise techniques to deal with them properly. Such problems could be effectively solved using a probabilistic optimization ...
    • Psychographic Traits Identification based on political ideology: An author analysis study on spanish politicians tweets posted in 2020 

      García-Díaz, José Antonio; Colomo-Palacios, Ricardo; Valencia-Garcia, Rafael (Peer reviewed; Journal article, 2022)
      In general, people are usually more reluctant to follow advice and directions from politicians who do not have their ideology. In extreme cases, people can be heavily biased in favour of a political party at the same time ...
    • Psychological interference, liberty and technology 

      Sætra, Henrik Skaug; Mills, Stuart (Peer reviewed; Journal article, 2022)
      Power and the use of force are central concerns in liberal political theory. Yet, it is claimed that liberal theory fails to account for the power that is exerted through, for example, personalised nudging based on Big ...
    • Quality Assurance in E-learning: A Proposal from Accessibility to Sustainability 

      Timbi-Sisalima, Cristian; Sánchez-Gordón, Mary; Hilera-González, José Ramón; Otón-Tortosa, Salvador (Peer reviewed; Journal article, 2022)
      Given the importance of developing and offering accessible education for all, indispensable aspects of education for sustainable development (ESD) are needed. This study addresses that need by proposing a quality self-assessment ...
    • Real-Time Testing of Synchrophasor-Based Wide-Area Monitoring System Applications Acknowledging the Potential Use of a Prototyping Software Toolchain 

      Kumar, Lalit; Ahmed, Shehab; Vanfretti, Luigi; Kishor, Nand (Peer reviewed; Journal article, 2022)
      This article presents a study on real-time testing of synchrophasor-based “wide-area monitoring system’s applications (WAMS application).” Considering the growing demand of real-time testing of “wide-area monitoring, ...
    • Recovered Energy from Salinity Gradients Utilizing Various Poly(Acrylic Acid)-Based Hydrogels 

      Bui, Tri Quang; Cao, Vinh Duy; Wang, Wei; Kjøniksen, Anna-Lena (Peer reviewed; Journal article, 2021)
      Hydrogels can be utilized to extract energy from salinity gradients when river water mixes with seawater. Saline-sensitive hydrogels exhibit a reversible swelling/shrinking process when they are, alternately, exposed to ...
    • Recurrent Neural Networks for Oil Well Event Prediction 

      Magnusson, Lars Vidar; Olsson, Roland J.; Tran, Chau Thi Thuy (Peer reviewed; Journal article, 2023)
      We have conducted a comparison between three types of recurrent neural networks and their ability to predict anomalies occurring in oil wells using a publicly available dataset. We have included two types of well-known ...
    • Reinforced Demand Side Management for Educational Institution with incorporation of User’s Comfort 

      Tamilarasu, Karthick; Sathiasamuel, Charles Raja; Nesamalar Josep, Jeslin Drusila; Elavarasan, Rajvikram Madurai; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2021)
      Soaring energy demand and the establishment of various trends in the energy market have paved the way for developing demand-side management (DSM) from the consumer side. This paper proposes a reinforced DSM (RDSM) approach ...
    • Research in AI has Implications for Society: How do we Respond? 

      Sætra, Henrik Skaug; Fosch-Villaronga, Eduard (Journal article, 2021)
      Artificial intelligence (AI) offers previously unimaginable possibilities, solving problems faster and more creatively than before, representing and inviting hope and change, but also fear and resistance. Unfortunately, ...
    • Resolving the battle of short- vs. long-term AI risks 

      Sætra, Henrik Skaug; Danaher, John (Peer reviewed; Journal article, 2023)
      AI poses both short- and long-term risks, but the AI ethics and regulatory communities are struggling to agree on how to think two thoughts at the same time. While disagreements over the exact probabilities and impacts of ...
    • A Review of BLDC Motor: State of Art, Advanced Control Techniques, and Applications 

      Mohanraj, Deepak; Aruldavid, Ranjeev; Verma, Rajesh; Sathyasekar, K.; Barnawi, Abdulwasa B.; Chokkalingam, Bharatiraja; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2022)
      The shortage of biofuel and the high tailpipe emission from vehicles demand the adoption of green energy. The development of Electric Vehicles (EVs) represents a watershed moment in the effort to go green. The EVs have a ...
    • A Review on UAV Wireless Charging: Fundamentals, Applications, Charging Techniques and Standards 

      Chittoor, Prithvi Krishna; Chokkalingam, Bharatiraja; Mihet-Popa, Lucian (Peer reviewed; Journal article, 2021)
      Unmanned Aerial Vehicles (UAVs) are becoming increasingly popular for applications such as inspections, delivery, agriculture, surveillance, and many more. It is estimated that, by 2040, UAVs/drones will become a mainstream ...
    • Robotomorphy: Becoming our creations 

      Sætra, Henrik Skaug (Peer reviewed; Journal article, 2021)
      Humans and gods alike have since the dawn of time created objects in their own image. From clay fgures and wooden toys—some granted life in myths and movies but also dead representations of their creators—to modern-day ...
    • A Robust Multilevel Inverter Topology for Operation under Fault Conditions 

      Asif, Mohd; Tariq, Mohd; Sarwar, Adil; Hussan, Md. Reyaz; Ahmad, Shafiq; Mihet-Popa, Lucian; Shah Noor Mohamed, Adamali (Peer reviewed; Journal article, 2021-12-13)
      Multilevel inverters (MLIs) are new demanding topologies that have low total harmonic distortion (THD) and low voltage stress across the switches make them ideal for medium and high-power applications. The authenticity of ...