• Metazoan Biodiversity Across the Western Part of Agder, Southern Norway: Insights from High-Throughput DNA Metabarcoding 

  NASRIN JAVAHERIPOUR (Master thesis, 2024)

  Environmental DNA (eDNA) metabarcoding has emerged as a transformative tool for biodiversity monitoring, enabling efficient detection of species and community composition in aquatic ecosystems. This molecular approach ...

• Fully protected marine areas linked to reduced home ranges of fishes 

  Ohayon, Sarah; Abecasis, David; Almeida, Pedro R.; Alós, Josep; Aspillaga, Eneko; Belo, Ana Filipa; Costa, José Lino; Di Franco, Antonio; Di Lorenzo, Manfredi; Ferguson, Adrian; Guidetti, Paolo; Kraft, Sebastian; La Mesa, Gabriele; Olsen, Esben Moland; Parsons, Darren; Pickholtz, Renanel; Quintella, Bernardo R.; Silva, Ana Filipa; Taylor, Brett M.; Villegas-Ríos, David; Belmaker, Jonathan (Journal article; Peer reviewed, 2024)

  Home range size is a fundamental trait that can affect the probability of fish being harvested and, at the same time, may be affected by fishing. The relationship between home range size and fishing will impact the ...

• Molecular Detection of Baltic Prawn (Palaemon adspersus) during Larval Release 

  Chowdhury, Niloy Kumar (Master thesis, 2024)

  Marine decapods are one of the largest groups of invasive species in marine and coastal environments. They have a significant ecological and economic impact in the native environments. Due to their body structure (hard ...

• Molecular Detection of European Shore Crab (Carcinus maenas) During Larval Release in the Coast of Southern Norway 

  Paudel, Kamal (Master thesis, 2024)

  Although the eDNA method has proven effective for detecting aquatic species, its efficiency can vary depending on the species in question. Crustaceans are believed to shed a low amount of eDNA due to the presence of ...

• Preliminary Evaluation of Nickel Silicide (NiSi12-wt%) Laser Cladding for Enhancing Microhardness and Corrosion Resistance of S355 Steel 

  Ibrahim, Mohammad; Hulme, Christopher; Grasmo, Geir; Aune, Ragnhild Elizabeth (Peer reviewed; Journal article, 2024)

  S355 construction steel, a commonly used mild steel due to its exceptional strength, is prone to environmental degradation, especially pitting corrosion in highly corrosive marine environments. To address this vulnerability, ...

• Isolating Coefficient-Based Framework to Recognize Influential Nodes in Complex Networks 

  Mohammad, Buran Basha; Dhuli, Venkata Sateeshkrishna; Enduri, Murali Krishna; Cenkeramaddi, Linga Reddy (Peer reviewed; Journal article, 2024)

  Identifying influential nodes within complex networks holds significant importance for enhancing network resilience and understanding vulnerabilities, thereby providing insights for both theoretical exploration and practical ...

• Assessing road construction effects on turbidity in adjacent water bodies using Sentinel-1 and Sentinel-2 

  Ghorbani Mooselu, Mehrdad; Nikoo, Mohammad Reza; Liltved, Helge; Bjørkenes, Marianne Simonsen; Elnashar, Abdelrazek; Shojaeezadeh, Shahab Aldin; Weber, Tobias Karl David (Peer reviewed; Journal article, 2024)

  Road construction significantly affects water resources by introducing contaminants, fragmenting habitats, and degrading water quality. This study examines the use of Remote Sensing (RS) data of Sentinel-1 (S1) and Senitnel-2 ...

• Bayesian estimation of spatially varying mortality risk using tagged animal data 

  Poulton, Anna J.; Villegas-Ríos, David; Freitas, Carla; Moland, Even; Olsen, Esben Moland; Sethi, Suresh A.; Ellner, Stephen P. (Journal article; Peer reviewed, 2024)

  The survival of animals is impacted by landscapes of spatially varying mortality factors including habitat type, predation risk or harvest risk, among others. Characterization of these spatial mortality processes is important ...

• Substitutional electronegative element defects-induced modification of silicene's electronic structures as high-performance cathode material for water splitting 

  Hossain, Iftekhar; Tareq, Foysal Kabir; Rudra, Souman (Journal article; Peer reviewed, 2025)

  The growing global energy demands, and environmental concerns underscore the need for innovative green and sustainable energy conversion technologies. Water splitting, an advanced method for green hydrogen production, ...

• Hyperspectral Identification of Milk Adulteration Using Advance Deep Learning 

  Aqeel, Muhammad; Sohaib, Ahmed; Iqbal, Muhammad; Sajid Ullah, Syed (Journal article; Peer reviewed, 2024)

  Food adulteration poses significant health risks globally and is rigorously monitored by safety authorities. In developing nations, where milk is highly prone to contamination (with Brazil, India, China, and Pakistan ...

• 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 ...

• 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 ...

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