• A Hyperparameter-Tuned LSTM Technique-Based Battery Remaining Useful Life Estimation Considering Incremental Capacity Curves 

  Dhananjay Rao, Rao; Ramakrishna, A.; Ramesh, M.; Koushik, Pallanti; Dawn, Subhojit; Pavani, P.; Selim Ustun, Taha; Cali, Umit (Peer reviewed; Journal article, 2024)

  In recent years, battery degradation has become a critical concern in various industries, including electric vehicles, renewable energy systems, and portable electronics. To address this issue, data-driven techniques have ...

• A Novel Electric Vehicle Charging Management With Dynamic Active Power Curtailment Framework for PV-Rich Prosumers 

  Demirci, Alpaslan; Mirza Tercan, Said; Ahmed, Eihab E. E.; Cali, Umit; Nakir, Ismail (Peer reviewed; Journal article, 2024)

  Prosumer communities are integrating renewable energy sources to reduce energy costs and carbon emissions for sustainable and clean energy awareness. However, increasing solar photovoltaic penetration in low-voltage ...

• A Dynamic Assessment of Safety Barriers Effectiveness in Fire Protection of Cryogenic Storage Tanks 

  Schiaroli, Alice; Scarponi, Giordano Emrys; Liu, Yiliu; Ustolin, Federico; Cozzani, Valerio (Peer reviewed; Journal article, 2024)

• Evaluating pedagogical approaches to enhance students’ comprehension in maritime English: The Norwegian case 

  Koilo, Viktoriia; Zaitsev, Maksym (Peer reviewed; Journal article, 2024)

  This study aims to test and evaluate various pedagogical strategies that can improve students’ comprehension of Maritime English course materials and help them confidently participate in English-based assessments. A ...

• Forecasting Solar Photovoltaic Power Production: A Comprehensive Review and Innovative Data-Driven Modeling Framework 

  Al-Dahidi, Sameer; Madhiarasan, Manoharan; Al-Ghussain, Loiy; Abubaker, Ahmad M.; Ahmad, Adnan Darwish; Alrbai, Mohammad; Aghaei, Mohammadreza; Alahmer, Hussein; Alahmer, Ali; Baraldi, Piero; Zio, Enrico (Peer reviewed; Journal article, 2024)

  The intermittent and stochastic nature of Renewable Energy Sources (RESs) necessitates accurate power production prediction for effective scheduling and grid management. This paper presents a comprehensive review conducted ...

• Just-in-Time Morning Ramp-Up Implementation in Warehouses Enabled by Machine Learning-Based Predictive Modelling: Estimation of Achievable Energy Saving through Simulation 

  Kaboli, Ali; Dadras Javan, Farzad; Campodonico Avendano, Italo Aldo; Najafi, Behzad; Colombo, Luigi Pietro Maria; Perotti, Sara; Rinaldi, Fabio (Peer reviewed; Journal article, 2024)

  This study proposes a simulation-based methodology for estimating the energy saving achievable through the implementation of a just-in-time morning ramp-up procedure in a warehouse (equipped with a heat pump). In this ...

• Biometrics in extended reality: a review 

  Agarwal, Ayush; Ramachandra, Raghavendra; Venkatesh, Sushma Krupa; Prasanna, S. R. Mahadeva (Peer reviewed; Journal article, 2024)

  In the domain of Extended Reality (XR), particularly Virtual Reality (VR), extensive research has been devoted to harnessing this transformative technology in various real-world applications. However, a critical challenge ...

• Ship route planning for collision avoidance based on the improved isochrone method 

  Ha, Jisang; Roh, Myung-Il; Lee, Hye-Won (Peer reviewed; Journal article, 2024)

  If ship navigators could access precise collision risk data and guidance for avoidance, safer navigation would be feasible. This study introduces a method for devising avoidance routes based on quantitative collision risk ...

• Evaluation of Maritime Cyber Security (MarCy) Training Programme 

  Oruc, Aybars; Chowdhury, Nabin; Gkioulos, Vasileios; Katsikas, Sokratis (Peer reviewed; Journal article, 2024)

  The prevalence of digital technologies is growing in the maritime industry, as in other sectors. Consequently, concerns regarding cyber risks are also escalating. Incidents have occurred in the industry, and findings from ...

• Predicting niche overlap with model-based ordination 

  van der Veen, Bert; O'Hara, Robert Brian; Hui, Francis K. C.; Hovstad, Knut Anders (Peer reviewed; Journal article, 2024)

  The ecological niche is a fundamental concept in ecology that can be used in order better understand species relationships. The overlap in species niches provides a measure of the likelihood for species to co-occur. Most ...

• The AI Act in a law enforcement context: The case of automatic speech recognition for transcribing investigative interviews 

  Stoykova, Radina; Porter, Kyle Andrew; Beka, Thomas (Peer reviewed; Journal article, 2024)

  Law enforcement agencies manually transcribe thousands of investigative interviews per year in relation to different crimes. In order to automate and improve efficiency in the transcription of such interviews, applied ...

• KLEENE THEOREM FOR HIGHER-DIMENSIONAL AUTOMATA 

  Fahrenberg, Uli; Johansen, Christian; Struth, Georg; Ziemiański, Krzysztof (Peer reviewed; Journal article, 2024)

  We prove a Kleene theorem for higher-dimensional automata. It states that the languages they recognise are precisely the rational subsumption-closed sets of finite interval pomsets. The rational operations on these languages ...

• Systematic Mapping of Circular Economy in Structural Engineering 

  Seeberg, Hanne Rangnes; Haakonsen, Sverre Magnus; Luczkowski, Marcin (Peer reviewed; Journal article, 2024)

  Facing increasing sustainability demands, the construction industry is at a turning point where the implementation of circular economy (CE) strategies plays an essential role in driving the necessary transformation aimed ...

• Bridging Diverse Physics and Scales of Knee Cartilage With Efficient and Augmented Graph Learning 

  Sajjadinia, Seyed Shayan; Carpentieri, Bruno; Holzapfel, Gerhard (Peer reviewed; Journal article, 2024)

  Articular cartilage (AC) is essential for minimizing friction in the human knee, but its healthy function is highly influenced by biomechanical factors such as weight bearing. Non-invasive biomechanical and numerical ...

• Multi-vehicle adaptive 3D mapping for targeted ocean sampling 

  Mo-Bjørkelund, Tore; Majaneva, Sanna Kristiina; Moreira Fragoso, Glaucia; Johnsen, Geir; Ludvigsen, Martin (Peer reviewed; Journal article, 2024)

  Expanding spatial presentation from two-dimensional profile transects to three-dimensional ocean mapping is key for a better understanding of ocean processes. Phytoplankton distributions can be highly patchy and the accurate ...

• A Comparative Analysis of Optimization Algorithms for Finite Element Model Updating on Numerical and Experimental Benchmarks 

  Raviolo, Davide; Civera, Marco; Zanotti Fragonara, Luca (Peer reviewed; Journal article, 2023)

  Finite Element Model Updating (FEMU) is a common approach to model-based Non-Destructive Evaluation (NDE) and Structural Health Monitoring (SHM) of civil structures and infrastructures. Its application can be further ...

• Statistical analysis of vessel loss of command frequency 

  Dugan, Spencer August; Utne, Ingrid Bouwer (Peer reviewed; Journal article, 2024)

  Vessel losses of command (e.g., propulsion, electrical power, or steering failure) can serve as the initiating event for significant maritime accidents, such as grounding. It is therefore important to estimate the frequency ...

• Quantitative characterization of surface defects on bridge cable based on improved YOLACT++ 

  Zhang, Hong; He, Jiangxia; Jiang, Xiaogang; Gong, Yanfeng; Hu, Tianyu; Jiang, Tengjiao; Zhou, Jianting (Peer reviewed; Journal article, 2024)

  The safety and reliability of cables are directly linked to the safe operation of bridges as crucial load-bearing components. The accuracy and efficiency of current methods are still insufficient to segment and quantitatively ...

• Parametric Analysis of Moment-Resisting Timber Frames Combined with Cross Laminated Timber Walls and Prediction Models Using Nonlinear Regression and Artificial Neural Networks 

  Hegeir, Osama Abdelfattah Shawky Aly; Stamatopoulos, Haris; Malo, Kjell Arne (Peer reviewed; Journal article, 2024)

  The light weight and moderate stiffness of multistorey timber buildings make them susceptible to increased lateral displacements and accelerations under service-level wind loading. Therefore, the fulfilment of serviceability ...

• Load Effects of ASR-induced Expansion in Reinforced Concrete and Their Consequences for Structural Assessment 

  Stemland, Kathrine Mürer; Johansen, Håvard; Kanstad, Terje (Peer reviewed; Journal article, 2023)

  This paper describes the structural effects of ASR expansion in reinforced structures. It proposes models and procedures for calculating the strains in the concrete caused by the reinforcement, the load effects in statically ...

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