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Miljørapportering i oppdrettsforetak: Fast i fisken?
(Peer reviewed; Journal article, 2021)Dette er en studie av miljørapporteringspraksis for en stor andel av norske lakseoppdrettsforetak. Data om miljørapportering i årsberetningen for 2019 og annen informasjon som årsberetningen henviser til, er studert ved ... -
Mining Productive Itemsets in Dynamic Databases
(Journal article; Peer reviewed, 2020)Discovering frequent itemsets is a data analysis task used in numerous domains. It consists of finding sets of items (itemsets) that frequently appear in a set of database records (also called transactions). Though discovering ... -
Mining Profitable and Concise Patterns in Large-Scale Internet of Things Environments
(Peer reviewed; Journal article, 2021)In recent years, HUIM (or a.k.a. high-utility itemset mining) can be seen as investigated in an extensive manner and studied in many applications especially in basket-market analysis and its relevant applications. Since ... -
Minoritetsorganisasjonen som arena for å motvirke sosial kontroll i innvandrerfamilier
(Chapter; Peer reviewed, 2022)Abstract: This chapter deals with how government expects minority organisations to work within their own communities to prevent or abolish cultural practises towards young people that lead to negative social control, lack ... -
Minste felles multiplum Radikal translasjon av 8-13 skolen som organiseringsidè
(Chapter; Peer reviewed, 2017)Translasjonsstudier har ofte undersøkt det immaterielle eller symbolske, og det materielle eller praktiske aspektet ved oversettelse i isolasjon fra hverandre. Vår hensikt er å bygge bro mellom de to tilnærmingene til ... -
Mitigating adversarial evasion attacks by deep active learning for medical image classification
(Peer reviewed; Journal article, 2022)In the Internet of Medical Things (IoMT), collaboration among institutes can help complex medical and clinical analysis of disease. Deep neural networks (DNN) require training models on large, diverse patients to achieve ... -
Mitigating adversarial evasion attacks of ransomware using ensemble learning
(Peer reviewed; Journal article, 2022)Ransomware continues to pose a significant threat to cybersecurity by extorting money from users by locking their devices and personal data. The attackers force the payment of a ransom in order to restore access to personal ... -
A ML-based resource utilization OpenCL GPU-kernel fusion model
(Peer reviewed; Journal article, 2022)Massive data parallelism can be achieved by using general-purpose graphics processing units (GPGPU) with the help of the OpenCL framework. When smaller data with higher GPU memory is executed, it results in a low resource ... -
A ML-Based Stock Trading Model for Profit Predication
(Chapter, 2021)This paper uses a new convolutional neural network framework to collect data on leading indicators including historical prices and their futures and options, and use arrays as the input map of the CNN framework for stock ... -
Mobile applications for the sport and exercise nutritionist: a narrative review
(Peer reviewed; Journal article, 2022)Mobile technology is widespread in modern society, and the applications (apps) that they run can serve various purposes. Features such as portability, ease of communication, storage, and relative low cost may make such ... -
A Model Based Slicing Technique for Process Mining Healthcare Information
(Chapter, 2020)Process mining is a powerful technique which uses an organization’s event data to extract and analyse process flow information and develop useful process models. However, it is difficult to apply process mining techniques ... -
Model checking starvation for resource-aware active objects with coloured petri nets
(Peer reviewed; Journal article, 2020)Dynamic resource provisioning is an important driver for pay-on-demand cloud computing. Virtualized resources open for resource awareness, such that applications may use resource management strategies to modify their ... -
Model Repair with Quality-Based Reinforcement Learning
(Journal article; Peer reviewed, 2020)Domain modeling is a core activity in Model-Driven Engineering, and these models must be correct. A large number of artifacts may be constructed on top of these domain models, such as instance models, transformations, and ... -
Model-based software testing for distributed systems and protocols
(Doctoral thesis, 2020)Society is increasingly dependent on fault-tolerant cloud-based services which rely on the correctness and reliability of advanced distributed software systems and consensus protocols. The implementations of these systems ... -
Model-Driven Automatic Question Generation for a Gamified Clinical Guideline Training System
(Peer reviewed; Journal article, 2020)Clinical practice guidelines (CPGs) are a cornerstone of modern medical practice since they summarize the vast medical literature and provide care recommendations based on the current best evidence. However, there are ... -
Modeling burns for pre-cooled skin flame exposure
(Peer reviewed; Journal article, 2017) -
Modeling Drying of Degenerated Calluna vulgaris for Wildfire and Prescribed Burning Risk Assessment
(Peer reviewed; Journal article, 2020)Research highlights: Moisture diffusion coefficients for stems and branches of degenerated Calluna vulgaris L. have been obtained and a mathematical model for the drying process has been developed and validated as an input ... -
Modeling Indoor Relative Humidity and Wood Moisture Content as a Proxy for Wooden Home Fire Risk
(Journal article; Peer reviewed, 2019)Severe wooden home conflagrations have previously been linked to the combination of very dry indoor climate in inhabited buildings during winter time, resulting in rapid fire development and strong winds spreading the fire ... -
Modeling skin injury from hot rice porridge spills
(Peer reviewed; Journal article, 2018) -
Modeling Skin Injury from Hot Spills on Clothing
(Peer reviewed; Journal article, 2017)