HVL Open er vitenarkivet til Høgskulen på Vestlandet. Her publiseres bl. artikler, master- og bacheloroppgaver. Det publiseres bacheloroppgaver med karakter A og B, og alle beståtte masteroppgaver, forutsatt at studenten har godkjent publisering. Alle studentoppgavene er publisert med tilhørende emnekode, søk gjerne på emnekoden om du er på jakt etter oppgaver fra en bestemt studieretning.

Collections in this community

Recent Submissions

  • Secure Collaborative Augmented Reality Framework for Biomedical Informatics 

    Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    Augmented reality is currently a great interest in biomedical health informatics. At the same time, several challenges have been appeared, in particular with the rapid progress of smart sensors technologies, and medical ...
  • Evolutionary Trading Signal Prediction Model Optimization based on Chinese News and Technical Indicators in the Internet of Things 

    Chen, Chun-Hao; Shih, Ping; Srivastava, Gautam; Hung, Shih-Ting; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    The Internet of Things technologies are essential in deploying successful IoT-based services, especially in the financial services sector in recent years. Stock market prediction which could also be an IoT-based service ...
  • An IoT-based Hedge System for Solar Power Generation 

    Syu, Jia-Hao; Wu, Mu-En; Srivastava, Gautam; Chao, Chi-Fang; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    Environmental protection is an important issue in recent decades, and renewable energy is an ideal solution for eco-friendly power generation. Solar-power generation is a popular renewable energy with low cost and small ...
  • Deep learning-embedded social internet of things for ambiguity-aware social recommendations 

    Guo, Zhiwei; Yu, Keping; Li, Yu; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    With the increasing demand of users for personalized social services, social recommendation (SR) has been an important concern in academia. However, current research on SR universally faces two main challenges. On the one ...
  • Defect Prediction Technology in Software Engineering Based on Convolutional Neural Network 

    Liu, Can; Sanober, Sumaya; Zamani, Abu Sarwar; Parvathy, L. Rama; Neware, Rahul; Rahmani, Abdul Wahab (Peer reviewed; Journal article, 2022)
    Software defect prediction has become a significant study path in the field of software engineering in order to increase software reliability. Program defect predictions are being used to assist developers in identifying ...
  • Diatoms as proxies for recent (0-20 years) environmental change as recorded in Inner Nærøyfjord sediments, Western Norway 

    Schewe, Nele (Bachelor thesis, 2022)
    Three sediment cores, retrieved at three different stations in the inner Nærøyfjord, Western Norway, are analysed for their diatom assemblage. The dating of the cores is based on the distribution of coarse silt, the ...
  • Generative Ensemble Learning for Mitigating Adversarial Malware Detection in IoT 

    Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)
    This paper proposes a framework that can be employed to mitigate adversarial evasion attacks on Android malware classifiers. It extracts multiple discriminating feature subsets from a single Android app such that each ...
  • Emergent Deep Learning for Anomaly Detection in Internet of Everything 

    Djenouri, Youcef; Djenouri, Djamel; Belhadi, Asma; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    This research presents a new generic deep learning framework for anomaly detection in the Internet of Everything (IoE). It combines decomposition methods, deep neural networks, and evolutionary computation to better detect ...
  • SS-ITS: secure scalable intelligent transportation systems 

    Belhadi, Asma; Djenouri, Youcef; Srivastava, Gautam; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    This paper introduces a secure and scalable intelligent transportation and human behavior system to accurately discover knowledge from urban traffic data. The data is secured using blockchain learning technology, where the ...
  • Digital Game-Based Support for Learning the Phlebotomy Procedure in the Biomedical Laboratory Scientist Education 

    Frøland, Tord Hettervik; Heldal, Ilona; Braseth, Turid Aarhus; Nygård, Irene; Sjøholt, Gry; Ersvær, Elisabeth (Peer reviewed; Journal article, 2022)
    Practice-based training in education is important, expensive, and resource-demanding. Digital games can provide complementary training opportunities for practicing procedural skills and increase the value of the limited ...
  • Deep-Attention Model to Analyze Reliable Customers via Federated Learning 

    Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)
    In this research, we propose a collaborative clustering method where the exchange of raw data is not required. The attention-based model is used with a federated learning framework. The edge devices compute the model updates ...
  • Effective Fuzzy System for Qualifying the Characteristics of Stocks by Random Trading 

    Wu, Mu-En; Syu, Jia-Hao; Lin, Jerry Chun-Wei; Ho, Jan-Ming (Peer reviewed; Journal article, 2021)
    Trading strategies can be divided into two categories; i.e., those with momentum characteristic and those that appear contrarian. The characteristics of trading strategies have been widely studied; however, there has been ...
  • Miljørapportering i oppdrettsforetak: Fast i fisken? 

    Fallan, Even; Granrud, Hans Roger; Litlabø, Eva Annette; Rønning, John Erik (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 ...
  • The Efficient Mining of Skyline Patterns from a Volunteer Computing Network 

    Wu, Jimmy Ming-Tai; Teng, Qian; Srivastava, Gautam; Pirouz, Matin; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    In the ever-growing world, the concepts of High-utility Itemset Mining (HUIM) as well as Frequent Itemset Mining (FIM) are fundamental works in knowledge discovery. Several algorithms have been designed successfully. ...
  • Fast and Accurate Deep Learning Framework for Secure Fault Diagnosis in the Industrial Internet of Things 

    Djenouri, Youcef; Belhadi, Asma; Srivastava, Gautam; Ghosh, Uttam; Chatterjee, Pushpita; Lin, Jerry Chun-Wei (Peer reviewed; Journal article, 2021)
    This paper introduced a new deep learning framework for fault diagnosis in electrical power systems. The framework integrates the convolution neural network and different regression models to visually identify which faults ...
  • Privacy-Preserving Deep Reinforcement Learning in Vehicle AdHoc Networks 

    Ahmed, Usman; Lin, Jerry Chun-Wei; Srivastava, Gautam (Peer reviewed; Journal article, 2021)
    The increasing number of road vehicles results in more fatalities and accidents. Thus, the manufacturing industry is working on driver safety to secure and safe transportation in Vehicle Adhoc networks. In addition, the ...
  • FHUQI-Miner: Fast high utility quantitative itemset mining 

    Nouioua, Mourad; Fournier-Viger, Philippe; Wu, Cheng-Wei; Lin, Jerry Chun-Wei; Gan, Wensheng (Peer reviewed; Journal article, 2021)
    High utility itemset mining is a popular pattern mining task, which aims at revealing all sets of items that yield a high profit in a transaction database. Although this task is useful to understand customer behavior, an ...
  • The concept of learning in virtual reality in the context of tunnel fire evacuation knowledge 

    Knapstad, Tonja; Njå, Ove (Chapter; Peer reviewed, 2021)
    This paper aims to explore how and what kind of learning is emphasized in the use of virtual reality to develop fire evacuation knowledge among participants. Experiences from several large tunnel fires in Norway highlight ...
  • Preserved Structure Constants for Red Refinements of Product Elements 

    Korotov, Sergey; Vatne, Jon Eivind (Chapter; Peer reviewed, 2021)
    In this paper we discuss some strategy for red refinements of product elements and show that there are certain structure characteristics (d-sines of angles formed by certain edges in the initial partition) which remain ...
  • Privacy-Preserving Machine Learning and Data Sharing in Healthcare Applications 

    Aminifar, Amin (Doctoral thesis, 2022)
    Artificial intelligence (AI) and automated decision-making have the potential to improve accuracy and efficiency in healthcare applications. In particular, AI is proved to outperform human experts in certain domains. ...

View more