• Recurrent neural network with density-based clustering for group pattern detection in energy systems 

  Djenouri, Youcef; Belhadi, Asma; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)

  This research explores a new direction in power system technology and develops a new framework for pattern group discovery from large power system data. The efficient combination between the recurrent neural network and ...

• Vehicle detection using improved region convolution neural network for accident prevention in smart roads 

  Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Djenouri, Djamel; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)

  This paper explores the vehicle detection problem and introduces an improved regional convolution neural network. The vehicle data (set of images) is first collected, from which the noise (set of outlier images) is removed ...

• Artificial intelligence of medical things for disease detection using ensemble deep learning and attention mechanism 

  Djenouri, Youcef; Belhadi, Asma; Yazidi, Anis; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)

  In this paper, we present a novel paradigm for disease detection. We build an artificial intelligence based system where various biomedical data are retrieved from distributed and homogeneous sensors. We use different deep ...

• Students’ view on applying for part-time work as an on-campus software developer 

  Lauvås, Per; Dæhli, Olav (Peer reviewed; Journal article, 2022)

  A majority of students work while they are studying. Working will help them financially, but it may also provide other benefits, such as preparing them for work-life after finishing their studies. As academic institutions, ...

• Exploring Feedback and Gamification in a Data Modeling Learning Tool 

  Dæhli, Olav; Kristoffersen, Bjørn; Lauvås, Per; Sandnes, Tomas (Peer reviewed; Journal article, 2021)

  Data modeling is an essential part of IT studies. Learning how to design and structure a database is important when storing data in a relational database and is common practice in the IT industry. Most students need much ...

• THE POTENTIAL OF USING NEURO-IS TO UNDERSTAND CONSUMER’S APPROACH-AVOIDANCE MOTIVATION IN ONLINE GROCERY RETAIL 

  Pawar, Sanchit; Fagerstrøm, Asle; Sigurdsson, Valdimar (Chapter, 2017)

  There is a request for research to examine consumer-purchasing behavior in online grocery retailing. By definition, behavior includes both cognition and observable responses. Neuro-Information Systems (NeuroIS) is a framework ...

• ImageCLEF 2019: Multimedia retrieval in medicine, lifelogging, security and nature 

  Ionescu, Bogdan; Müller, Henning; Péteri, Renaud; Cid, Yashin Dicente; Liauchuk, Vitali; Kovalev, Vassili; Klimuk, Dzmitri; Tarasau, Aleh; Abacha, Asma Ben; Hasan, Sadid A.; Datla, Vivek; Liu, Joey; Demner-Fushman, Dina; Dang Nguyen, Duc Tien; Piras, Luca; Riegler, Michael; Tran, Minh-Triet; Lux, Mathias; Gurrin, Cathal; Pelka, Obioma; Friedrich, Christoph M.; Garcia Seco de Herrera, Alba; Garcia, Narciso; Kavallieratou, Ergina; del Blanco, Carlos Roberto; Cuevas, Carlos; Vasillopoulos, Nikos; Karampidis, Konstantinos; Chamberlain, Jon; Clark, Adrian; Campello, Antonio (Peer reviewed; Journal article, 2019)

• Using neuro-IS/ consumer neuroscience tools to study healthy food choices: a review 

  Folwarczny, Michal; Pawar, Sanchit; Sigurdsson, Valdimar; Fagerstrøm, Asle (Peer reviewed; Journal article, 2019)

  Dietary choices are one of the main drivers of preventable health issues such as obesity or diabetes. Food choice is a complex behavior that is hard to measure with traditional, paper, and pencil-based methods. Neuro-Information ...

• Machine Learning-Based Analysis of Sperm Videos and Participant Data for Male Fertility Prediction 

  Hicks, Steven; Andersen, Jorunn Marie; Witczak, Oliwia; Lasantha Bandara Thambawita, Vajira; Halvorsen, Pål; Hammer, Hugo Lewi; Haugen, Trine B.; Riegler, Michael Alexander (Peer reviewed; Journal article, 2019)

  Methods for automatic analysis of clinical data are usually targeted towards a specific modality and do not make use of all relevant data available. In the field of male human reproduction, clinical and biological data are ...

• The relative importance of healthy food labels when shopping for groceries online 

  Fagerstrøm, Asle; Richartz, Philip; Pawar, Sanchit; Larsen, Nils Magne; Sigurdsson, Valdimar; Eriksson, Niklas (Peer reviewed; Journal article, 2019)

  Healthy food labels are a widely used form of intervention that nudges consumers towards healthier choices. This study investigates the relative importance of healthy food labels on the consumers’ online choice of grocery. ...

• INTO THE WILD: EDUCATING INTERACTION DESIGNERS 

  Begnum, Miriam Eileen Nes; Pettersen, Lene; Sørum, Hanne (Peer reviewed; Journal article, 2019)

• Image Search Versus Text Search Revisited: A Simple Experiment Using a Kahoot Quiz 

  Eide, Signe Aanderaa; Poljac, Ana-Maria; Sandnes, Frode Eika (Chapter, 2021)

• The impact of organizational culture and leadership climate on organizational attractiveness and innovative behavior: a study of Norwegian hospital employees 

  Mutonyi, Barbara Rebecca; Slåtten, Terje; Lien, Gudbrand; González‑Piñero, Manel (Peer reviewed; Journal article, 2022)

  In the domain of health services, little research has focused on how organizational culture, specifically internal market-oriented cultures (IMOCs), are associated with organizational climate resources, support for autonomy ...

• Cost-efficient service selection and execution and blockchain-enabled serverless network for internet of medical things 

  Lakhan, Abdullah; Dootio, Mazhar Ali; Sodhro, Ali Hassan; Pirbhulal, Sandeep; Grønli, Tor-Morten; Khokhar, Muhammad Saddam; Wang, Lei (Peer reviewed; Journal article, 2021)

  These days, healthcare applications on the Internet of Medical Things (IoMT) network have been growing to deal with different diseases via different sensors. These healthcare sensors are connecting to the various healthcare ...

• Intelligent deep fusion network for urban traffic flow anomaly identification 

  Djenouri, Youcef; Belhadi, Asma; Chen, Hsing-Chung; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)

  This paper presents a novel deep learning architecture for identifying outliers in the context of intelligent transportation systems. The use of a convolutional neural network with an efficient decomposition strategy is ...

• Competing through innovation: Let the customer judge! 

  Kurtmollaiev, Seidali; Lervik-Olsen, Line; Andreassen, Tor W. (Peer reviewed; Journal article, 2022)

  Although customers are the final judges of innovations, their opinions on firms’ innovations are rarely listened to. In this article, we developed a novel model for examining the antecedents and consequences of perceived ...

• Users’ Satisfaction with an Assistive Device and Quality of Life: A preliminary study on lower limb prosthetics 

  Garcez, Letícia Vasconcelos Morais; Rodrigues, Ana Claudia Tavares; Medola, Fausto Orsi; Baleotti, Luciana Ramos; Sandnes, Frode Eika; Vaezipour, Atiyeh (Chapter, 2022)

  Abstract: Quality of life refers to the individual perception of each person regarding their objectives, expectations and achievements, according to their stage of life and contexts of material, physical, emotional and ...

• A sustainable deep learning framework for fault detection in 6G Industry 4.0 heterogeneous data environments 

  Mezair, Tinhinane; Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2022)

  Abstract The integration of 5G and Beyond 5G (B5G)/6G in Machine-to-Machine (M2M) communications, is making Industry 4.0 smarter. However, the goal of having a sustainable self-monitored industry has not been reached yet. ...

• Automation of Routine Work: A Case Study of Employees' Experiences of Work Meaningfulness 

  Staaby, Anne; Hansen, Kjeld S.; Grønli, Tor-Morten (Peer reviewed; Journal article, 2021)

  The idea of automation replacing humans in the workplace has been given considerable attention, while less attention has been afforded to how people develop a meaningful work life with automation of routine work. In this ...

• Increasing the effectiveness of ecological food signaling: Comparing sustainability tags with eco-labels 

  Sigurdsson, Valdimar; Larsen, Nils Magne; Palsdottir, Rakel Gyda; Folwarczny, Michal; Menon, R.G. Vishnu; Fagerstrøm, Asle (Peer reviewed; Journal article, 2022)

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