• AI-enabled metaheuristic optimization for predictive management of renewable energy production in smart grids 

      Sankarananth, S.; Karthiga, M.; Suganya, E.; Sountharrajan, S.; Bavirisetti, Durga Prasad (Peer reviewed; Journal article, 2023)
      The integration of renewable energy sources into smart grids offers a promising solution for building sustainable and reliable energy systems. However, optimizing hybrid renewable energy systems remains a crucial area of ...
    • AI/Human Augmentation: A Study on Chatbot – Human Agent Handovers 

      Vassilakopoulou, Polyxeni; Pappas, Ilias (Peer reviewed; Journal article, 2022)
      The combination of chatbots with live chats supported by human agents creates a new type of man-machine coordination problem. Prior research on chatbot interactions has focused mostly on the interaction between end users ...
    • AID expression in B-cell lymphomas causes accumulation of genomic uracil and a distinct AID mutational signature 

      Pettersen, Henrik Sahlin; Galashevskaya, Anastasia; Doseth, Berit; Sousa, Mirta; Sarno, Antonio; Visnes, Torkild; Aas, Per Arne; Liabakk, Nina-Beate; Slupphaug, Geir; Sætrom, Pål; Kavli, Bodil Merete; Krokan, Hans Einar (Journal article; Peer reviewed, 2014)
      tThe most common mutations in cancer are C to T transitions, but their origin has remained elusive.Recently, mutational signatures of APOBEC-family cytosine deaminases were identified in many com-mon cancers, suggesting ...
    • Air Quality Monitoring in Coal-Centric Cities: A Hybrid Approach 

      Mora, Simone; deSouza, Priyanka N.; Duarte, Fábio; Wang, An; Paul, Sanjana; Berrones, Antonio; Ratti, Carlo (Journal article, 2023)
      Despite the increasing time sensitivity of climate change, many cities worldwide still heavily rely on coal. The extraction, processing, transport, and usage of coal lead to deteriorated air quality, resulting in complex ...
    • Airway segmentation and centerline extraction from thoracic CT - Comparison of a new method to state of the art commercialized methods 

      Reynisson, Pall Jens; Scali, Marta; Smistad, Erik; Hofstad, Erlend Fagertun; Leira, Håkon Olav; Lindseth, Frank; Hernes, Toril A. Nagelhus; Amundsen, Tore; Sorger, Hanne; Langø, Thomas (Peer reviewed; Journal article, 2015)
      Introduction Our motivation is increased bronchoscopic diagnostic yield and optimized preparation, for navigated bronchoscopy. In navigated bronchoscopy, virtual 3D airway visualization is often used to guide a bronchoscopic ...
    • Aktivitetsbasert emneorganisering 

      Lundheim, Lars Magne; Bolstad, Torstein; Gajic, Bojana; Tybell, Per Thomas Martin; Hardeberg Zimmermann, Pauline (Peer reviewed; Journal article, 2021)
      I artikkelen deler vi våre første erfaringer med aktivitetsbasert emne­organi­sering som ble prøvd ut på et stort innføringsemne for sivilingeniørstudenter ved NTNU. Den grunnleggende ideen er at for å fremme studentaktiv ...
    • Alain Pétrowski and Sana Ben-Hamida: Evolutionary Algorithms 

      Downing, Keith (Journal article, 2018)
    • ALerT – Learning about privacy at the time of data sharing everywhere 

      Jost, Patrick; Bøhm, Gisela; Divitini, Monica; Tjøstheim, Ingvar (Journal article, 2020)
    • All eyes on me: Predicting consumer intentions on social commerce platforms using eye-tracking data and ensemble learning 

      Mikalef, Patrik; Sharma, Kshitij; Chatterjee, Sheshadri; Chaudhuri, Ranjan; Parida, Vinit; Gupta, Shivam (Journal article; Peer reviewed, 2023)
      Understanding what information is important for consumers when making a purchase-related decision has been a key question for researchers and practitioners ever since the advent of empirical research in commerce. Nevertheless, ...
    • Alternative Online Evaluation in a Blended Learning Environment 

      Staupe, Arvid (Journal article; Peer reviewed, 2011)
      The article describe how he went about to solve the particular problems of students’ learning in his classes by offering alternative ways of evaluating the students’ work. The article provides evidence of the success of ...
    • Am I Eclipsed? A Smart Detector of Eclipse Attacks for Ethereum 

      Xu, Guangquan; Guo, Bingjiang; Su, Chunhua; Zheng, Xi; Liang, Kaitai; Wong, Duncan; Wang, Hao (Journal article; Peer reviewed, 2019)
      Blockchain security has been drawing a tremendous attention from industry and academic due to its prevalence on real-world applications in these years, such as distributed blockchain-based storage systems. Since being ...
    • AMIDST: A Java toolbox for scalable probabilistic machine learning 

      Masegosa, Andres; Martinez, Ana M.; Ramos-López, Dario; Cabañas, Rafael; Langseth, Helge; Nielsen, Thomas D.; Madsen, Anders L. (Journal article; Peer reviewed, 2018)
      The AMIDST Toolbox is an open source Java software for scalable probabilistic machine learning with a special focus on (massive) streaming data. The toolbox supports a flexible modelling language based on probabilistic ...
    • AMIDST: A Java toolbox for scalable probabilistic machine learning 

      Masegosa, Andres; Martinez, Ana M.; Ramos-López, Dario; Cabañas, Rafael; Salmeron, Antonio; Langseth, Helge; Nielsen, Thomas D. (Journal article; Peer reviewed, 2019)
    • Amplified locality‐sensitive hashing‐based recommender systems with privacy protection 

      Chi, Xiaoxiao; Yan, Chao; Wang, Hao; Rafique, Wajid; Qi, Lianyong (Peer reviewed; Journal article, 2020)
      With the advent of Internet of Things (IoT) age, the variety and volume of web services have been increasing at a fast speed. This often leads to users' selections for web services more complicated. Under the circumstance, ...
    • An Adaptive Combination of Dark and Bright Channel Priors for Single Image Dehazing 

      Whannou De Dravo, Vincent Jacob; El Khoury, Jessica; Thomas, Jean-Baptiste; Mansouri, Alamin; Hardeberg, Jon Yngve (Journal article; Peer reviewed, 2017)
      Dehazing methods based on prior assumptions derived from statistical image properties fail when these properties do not hold. This is most likely to happen when the scene contains large bright areas, such as snow and sky, ...
    • An analysis of student app ideas for improving university education 

      Sindre, Guttorm (Journal article; Peer reviewed, 2017)
      In the course TDT4140 Software Engineering at NTNU in 2017 students worked in groups of 4 to propose ideas and make limited prototypes for software apps that could revolutionize university education. This paper analyses ...
    • An automatic image-based system for detecting wild and stocked fish 

      Myrum, Espen; Nørstebø, Simen Andre; George, Sony; Pedersen, Marius; Museth, Jon (Journal article; Peer reviewed, 2019)
      Fish stocking is the method of raising fish in a hatchery and releasing them into a river or lake to sustain or increase an existing population or to create a population. This has been practised in many countries, including ...
    • An efficient algorithm for mining top-k on-shelf high utility itemsets 

      Dam, Thu-Lan; Li, Kenli; Fournier-Viger, Philippe; Duong, Quang-Huy (Journal article; Peer reviewed, 2017)
      High on-shelf utility itemset (HOU) mining is an emerging data mining task which consists of discovering sets of items generating a high profit in transaction databases. The task of HOU mining is more difficult than ...
    • An elastic-viscoplastic model for saturated frozen soils 

      Ghoreishian Amiri, Seyed Ali; Grimstad, Gustav; Kadivar, Mehdi (Journal article; Peer reviewed, 2017)
      From the material science point of view, saturated frozen soil is a natural particulate composite, composed of solid grains, ice and unfrozen water. The mechanical behaviour of such a material is strongly affected by the ...
    • An empirical study of the adoption of an indoor location-based service: Finding reading rooms 

      Gao, Shang; Krogstie, John; Thingstad, Trond; Tran, Hoang Thanh (Journal article; Peer reviewed, 2017)
      This research examined the adoption of indoor location-based services in Norway. By expanding the Technology Acceptance Model (TAM), a research model, known as the mobile services acceptance model, was used. Based on the ...