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A Help Desk tool for sporadically occurring inquiries. Based on Microsoft Outlook 2000 and Computas GTA.
(Master thesis, 1999)A help desk is intended to support inquiries from users of one or several systems. The help desk could act as an external service point to customers, just as well as an employee-based service. Because of the movement towards ... -
Hidden Markov Model Based Machine Learning for mMTC Device Cell Association in 5G Networks
(Journal article; Peer reviewed, 2019)Massive machine-type communication (mMTC) is expected to play a pivotal role in emerging 5G networks. Considering the dense deployment of small cells and the existence of heterogeneous cells, an MTC device can discover ... -
The Hierarchical Continuous Pursuit Learning Automation : A Novel Scheme for Environments With Large Numbers of Actions
(Journal article; Peer reviewed, 2019) -
The Hierarchical Discrete Learning Automaton Suitable for Environments with Many Actions and High Accuracy Requirements
(Peer reviewed; Journal article, 2022)Since its early beginning, the paradigm of Learning Automata (LA), has attracted much interest. Over the last decades, new concepts and various improvements have been introduced to increase the LA’s speed and accuracy, ... -
The Hierarchical Discrete Pursuit Learning Automaton: A Novel Scheme With Fast Convergence and Epsilon-Optimality
(Peer reviewed; Journal article, 2022)Since the early 1960s, the paradigm of learning automata (LA) has experienced abundant interest. Arguably, it has also served as the foundation for the phenomenon and field of reinforcement learning (RL). Over the decades, ... -
Hierarchical Fish Species Detection in Real-Time Video Using YOLO
(Master thesis, 2020)Information gathering of aquatic life is often based on time consuming methods with a foundation in video feeds. It would be beneficial to capture more information in a cost effective manner from video feeds, ... -
Hierarchical Object Detection applied to Fish Species
(Peer reviewed; Journal article, 2022)Gathering information of aquatic life is often based on timeconsuming methods utilizing video feeds. It would be beneficial to capture more information cost-effectively from video feeds. Video based object detection has ... -
Higher-Fidelity Frugal and Accurate Quantile Estimation Using a Novel Incremental Discretized Paradigm
(Journal article; Peer reviewed, 2018) -
HL7 FHIR with SNOMED-CT to Achieve Semantic and Structural Interoperability in Personal Health Data: A Proof-of-Concept Study
(Peer reviewed; Journal article, 2022) -
How do security managers motivate employees' security behavior - Leadership perspective
(Master thesis, 2023)In today’s digital world, there are several possible threats to organizations. Because of these possible threats, it is important to be as aware as possible and prepared for attacks to occur. Large and small organizations ... -
How Quickly Can We Predict Users’ Ratings on Aesthetic Evaluations of Websites? Employing Machine Learning on Eye-Tracking Data
(Journal article; Peer reviewed, 2020) -
How to enhance digital support for cross-organisational health care teams? A user-based explorative study
(Peer reviewed; Journal article, 2020)Health care service provision of individualised treatment to an ageing population prone to chronic conditions and multimorbidities is threatened. (ere is a need for digitally supported care, that is, (1) person-centred, ... -
Human Motion Synthesis Using Trigonometric Splines
(Peer reviewed; Journal article, 2023)In this work, we present a simple framework to synthesize human motion. Our main goal is to propose a methodology tailored for inexperienced users to initiate their research in human motion simulation and human motion ... -
Human Simulation and Sustainability: Ontological, Epistemological, and Ethical Reflections
(Peer reviewed; Journal article, 2020) -
Human-Centered Design (HCD) of Personal Decision Support System (PDSS) for understandable individual health management, using Natural Language Processing (NLP) and machine learning
(Master thesis, 2022)This project addressed the challenges of patients to comprehend typical information (e.g. in the form of ''doctor letters'' or ''patient journals'') about their health condition, and to get understandable and personalized ... -
Human-Centered Design (HCD) of Personal Decision Support System (PDSS) for understandable individual health management, using Natural Language Processing (NLP) and machine learning
(Master thesis, 2022)This project addressed the challenges of patients to comprehend typical information (e.g. in the form of ''doctor letters'' or ''patient journals'') about their health condition, and to get understandable and personalized ... -
Human-Centered Design (HCD) of Personal Decision Support System (PDSS) for understandable individual health management, using Natural Language Processing (NLP) and machine learning
(Master thesis, 2022)This project addressed the challenges of patients to comprehend typical information (e.g. in the form of ''doctor letters'' or ''patient journals'') about their health condition, and to get understandable and personalized ... -
Human-centered Design of Cargo Matching Application
(Master thesis, 2023)Always Cargo is a company that wishes for easier access to jobs, fewer cars on the road, and a greener world. Their goal is to create an application readily available for truck drivers and transport buyers that they can ... -
Human-centered Design of Cargo Matching Application
(Master thesis, 2023)Always Cargo is a company that wishes for easier access to jobs, fewer cars on the road, and a greener world. Their goal is to create an application readily available for truck drivers and transport buyers that they can ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain and Yield Predictions
(Master thesis, 2022)Agriculture is a critical part of the world’s food production, being a vital aspect of all societies. Procedures need to be adjusted to their specific environment because of their climate and field condition disparity. ...