• Preparing for downstream tasks in artificial intelligence for dental radiology: a baseline performance comparison of deep learning models 

  Fernandes, Fara Aninha; Ge, Mouzhi; Chaltikyan, Georgi; Gerdes, Martin; Omlin, Christian Walter Peter (Journal article; Peer reviewed, 2024)

  Objectives: To compare the performance of the convolutional neural network (CNN) with the vision transformer (ViT), and the gated multilayer perceptron (gMLP) in the classification of radiographic images of dental structures. ...

• Hva varierer og hvordan varierer det, sammen 

  Lid, Tomas (Master thesis, 2024)

  Introduksjon til funksjoner med utgangspunkt i funksjonsspråket og karakteristiske globale egenskaper

• From caged robots to high-fives in robotics: Exploring the paradigm shift from human–robot interaction to human–robot teaming in human–machine interfaces 

  Sanfilippo, Filippo; Zafar, Muhammad Hamza; Wiley, Timothy; Zambetta, Fabio (Peer reviewed; Journal article, 2024)

  Multi-modal human–machine interfaces have recently undergone a remarkable transformation, progressing from simple human–robot interaction (HRI) to more advanced human–robot collaboration (HRC) and, ultimately, evolving ...

• Bandgap Optimization of Photovoltaic Tandem Cells Based on Spectra Collected over a Full Year 

  Strandberg, Rune; Imenes, Anne Gerd (Peer reviewed; Journal article, 2024)

  Spectral data collected every minute at the test station in Grimstad, Norway, are used to investigate the impact of spectral variation on tandem cells. The results are displayed as efficiency maps which are compared to ...

• Quantum Machine Learning: Exploring the Role of Data Encoding Techniques, Challenges, and Future Directions 

  Ranga, Deepak; Rana, Aryan; Prajapat, Sunil; Kumar, Pankaj; Kumar, Kranti; Vasilakos, Athanasios (Journal article; Peer reviewed, 2024)

  Quantum computing and machine learning (ML) have received significant developments which have set the stage for the next frontier of creative work and usefulness. This paper aims at reviewing various data-encoding techniques ...

• Revolutionising Prosthetics and Orthotics with Affordable Customisable Open-Source Elastic Actuators 

  Sanfilippo, Filippo; Økter, Martin Bjaadal; Dale, Jørgen; Hua, Minh Tuan; Ottestad, Morten (Chapter, 2024)

  Collaborative robots, also known as cobots, have become progressively popular as they are designed to safely work alongside humans or in shared environments. The adoption of compliant actuators, which avoid damage in the ...

• Robust-Adaptive Two-Loop Control for Robots with Mixed Rigid-Elastic Joints 

  Hua, Minh Tuan; Sveen, Emil Mühlbradt; Schlanbusch, Siri Marte; Sanfilippo, Filippo (Chapter, 2024)

  In robotics, while rigid joints are common due to their accuracy and fast response ability, elastic joints are wellknown for their safety when interacting with the environment. To harmonise the advantages of these joint ...

• Federated learning and non-federated learning based power forecasting of photovoltaic/wind power energy systems: A systematic review 

  El Robrini, Feria; Bukhari, Syed Muhammad Salman; Zafar, Muhammad Hamza; Al-Tawalbeh, Nedaa; Akhtar, Naureen; Sanfilippo, Filippo (Peer reviewed; Journal article, 2024)

  Renewable energy sources, particularly photovoltaic and wind power, are essential in meeting global energy demands while minimising environmental impact. Accurate photovoltaic (PV) and wind power (WP) forecasting is crucial ...

• Hydrogen Yield Enhancement in Biogas Dry Reforming with a Ni/Cr Catalyst: A Numerical Study 

  Nishimura, Akira; Yamada, Souta; Ichii, Ryoma; Ichikawa, Mizuki; Hayakawa, Taisei; Kolhe, Mohan Lal (Peer reviewed; Journal article, 2024)

  This numerical study investigates the impact of the reaction temperature, molar ratio of CH4:CO2, and catalyst porosity (εp) on the H2 yield and H2 selectivity during biogas dry reforming over a Ni/Cr catalyst. Using COMSOL ...

• Promoted Osprey Optimizer: a solution for ORPD problem with electric vehicle penetration 

  Liu, Ziang; Jian, Xiangzhou; Sadiq, Touseef; Shaikh, Zaffar Ahmed; Alfarraj, Osama; Alblehai, Fahad; Tolba, Amr (Journal article; Peer reviewed, 2024)

  This paper proposes a new optimization technique to make an integration between the Optimal Reactive Power Dispatch (ORPD) problem and Electric Vehicles (EV). Here, a modified metaheuristic algorithm, called the Promoted ...

• Enhanced violation-mitigation-based method using voltage/current sensitivities for PV hosting capacity quantification in low-voltage grids 

  LLiuyacc Blas, Rubén Ronald; Kolhe, Mohan Lal; Kepplinger, Peter (Peer reviewed; Journal article, 2024)

  PV hosting capacity quantification is currently of importance for distribution system operators to manage upcoming PV installation requests, especially within low-voltage grids. The violation-mitigation-based (VMB) method ...

• Deep Learning Frontiers in 3D Object Detection: A Comprehensive Review for Autonomous Driving 

  Pravallika, Ambati; Hashmi, Mohammad Farukh; Gupta, Aditya (Peer reviewed; Journal article, 2024)

  Self-driving cars, or autonomous vehicles (AVs), represent a transformative technology with the potential to revolutionize transportation. This review delves into the critical role of 3D object detection in enhancing the ...

• Assessment of PV performance in Nordic conditions: Investigating the influence of spectral irradiance 

  Paudyal, Basant Raj (Doctoral dissertations at University of Agder;no. 520, Doctoral thesis, 2024)

  As PV becomes a significant part of the energy mix in the Nordics, it is important to investigate the factors affecting PV module performance in these conditions. This thesis aims to expand the knowledge on PV performance ...

• Integration of citizen science and eDNA reveals novel ecological insights for marine fish conservation 

  Kvalheim, Lone; Stensrud, Eivind; Knutsen, Halvor; Hyvärinen, Olli Petteri; Eiler, Alexander (Peer reviewed; Journal article, 2024)

  In the face of climate change, the accelerating nature crisis, and other anthropogenic impacts, conserving biodiversity demands effective monitoring. While innovative approaches have emerged to enhance biodiversity assessment, ...

• Uniqueness verification of blue fraction as a parameter of spectral irradiance quantification 

  Paudyal, Basant Raj; Imenes, Anne Gerd (Chapter, 2021)

  The spectral distribution of global irradiance is measured in the optimal tilt (45° south) plane of array for the calender year 2020 in Grimstad, Norway. In this work the spectral distribution is quantified in terms of the ...

• Analysis of spectral irradiance variation in northern Europe using average photon energy distributions 

  Paudyal, Basant Raj; Somasundaram, Sakthi Guhan; Louwen, Atse; Reinders, Angele H.M.E.; van Sark, Wilfried G.J.H.M.; Stellbogen, Dirk; Ulbrich, Carolin; Imenes, Anne Gerd (Peer reviewed; Journal article, 2024)

  One major factor affecting the energy yield of photovoltaic modules is the spectral distribution of incident solar radiation. As spectral irradiance data is scarce, this study provides further documentation of recorded ...

• Analysis of spectral irradiance distribution for PV applications at high latitude 

  Paudyal, Basant Raj; Imenes, Anne Gerd (Chapter, 2020)

  The spectral distribution of global tilted irradiance measured in Grimstad, Norway, is analyzed in terms of the average photon energy (APE) blue fraction (BF) and useful fraction (UF). The results based on eight months of ...

• Efficient and reliable methods for estimating the abundance of keystone coastal macrofauna over large spatial scales 

  Reamon, Molly Claire; Marcussen, Johanna Bjånes; Laugen, Ane Timenes; Korslund, Lars (Peer reviewed; Journal article, 2024)

  Coastal bivalves are important ecosystem engineers, and identifying critical habitats can enhance conservation outcomes for threated keystone species as well as determining hotspots for invasive species. As early action ...

• Unlocking the secret life of blue mussels: Exploring connectivity in the Skagerrak through biophysical modeling and population genomics 

  Gustafsson, Malin; Strand, Åsa; Laugen, Ane Timenes; Albretsen, Jon; André, Carl; Broström, Göran; Jorde, Per Erik; Knutsen, Halvor; Ortega-Martinez, Olga; Sodeland, Marte; Waern, Malin; Wrange, Anna-Lisa; De Wit, Pierre (Peer reviewed; Journal article, 2024)

  Knowledge of functional dispersal barriers in the marine environment can be used to inform a wide variety of management actions, such as marine spatial planning, restoration efforts, fisheries regulations, and invasive ...

• Enhancing multiclass COVID-19 prediction with ESN-MDFS: Extreme smart network using mean dropout feature selection technique 

  Ahmed, Saghir; Raza, Basit; Hussain, Lal; Sadiq, Touseef; Dutta, Ashit Kumar (Peer reviewed; Journal article, 2024)

  Deep learning and artificial intelligence offer promising tools for improving the accuracy and efficiency of diagnosing various lung conditions using portable chest x-rays (CXRs). This study explores this potential by ...

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