Browsing Department of Information and Communication Technology by Title
Now showing items 541-560 of 1303
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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. ... -
Hybrid Neural Networks with Attention-based Multiple Instance Learning for Improved Grain Identification and Grain 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. ... -
ICDC: Ranking Influential Nodes in Complex Networks Based on Isolating and Clustering Coefficient Centrality Measures
(Peer reviewed; Journal article, 2023)Over the past decade, there has been extensive research conducted on complex networks, primarily driven by their crucial role in understanding the various real-world networks such as social networks, communication networks, ... -
Ideal Chaotic Pattern Recognition is achievable: The Ideal-M-AdNN - its design and properties
(Lecture Notes in Computer Science;8065, Chapter; Peer reviewed, 2013)This paper deals with the relatively new field of designing a Chaotic Pattern Recognition (PR) system. The benchmark of such a system is the following: First of all, one must be able to train the system with a set of ... -
Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection
(Master thesis, 2024)This project aims to deliver an AI-based solution to find out irregularities and deformities in farmed salmon fish by using Keypoint detection. -
Identification of Irregularities in Salmon Fish in Aquaculture by Using Key Point Detection
(Master thesis, 2024)This project aims to deliver an AI based solution to find out irregularities and deformities in farmed salmon fish by using Keypoint detection