Browsing Department of Information and Communication Technology by Title
Now showing items 181-200 of 1283
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Building Concise Logical Patterns by Constraining Tsetlin Machine Clause Size
(Academic article, 2023)Tsetlin machine (TM) is a logic-based machine learning approach with the crucial advantages of being transparent and hardware-friendly. While TMs match or surpass deep learning accuracy for an increasing number of applications, ... -
Building nursing statements based on ICNP
(Master thesis, 2013)Correct and professional use of the nursing termonology is important to assure quality information in the nursing practice. The International Classification for Nursing Practice(ICNP) is a unified language system which ... -
Camera functionality in modern mobile terminals : software FIR filter for demosaicing with RISC
(Master thesis, 2001)This thesis discusses implementation and optimizing of the image pre-processing operation demosaicing on a typical hardware architecture for mobile terminals. Work has shown that the demosaicing operation is equivalent ... -
Can Interpretable Reinforcement Learning Manage Prosperity Your Way?
(Journal article; Peer reviewed, 2022)Personalisation of products and services is fast becoming the driver of success in banking and commerce. Machine learning holds the promise of gaining a deeper understanding of and tailoring to customers’ needs and ... -
Capacity driven small cell deployment in heterogeneous cellular networks : Outage probability and rate coverage analysis
(Journal article; Peer reviewed, 2020) -
A Case Study of Technology Use and Information Flow at a Danish E-clinic
(Chapter; Peer reviewed, 2020)There is an urgent call from health organizations, health professionals and health authorities to re-design care delivery for patients with chronic conditions and multimorbidities. The research project 3P- Patients and ... -
Categorizing networked services The role of intrinsic-, user network- and complement network attributes
(Journal article, 2009)Originality/value - The paper contributes with a conceptual framework for understanding and categorizing both extrinsic and intrinsic drivers of service value. It extends and integrates previous work on network effects and ... -
Causality-based Social Media Analysis for Normal Users Credibility Assessment in a Political Crisis
(Chapter; Peer reviewed, 2019) -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
Centralized vs. Decentralized Investigating the advantages and disadvantages of single vendor vs. multivendor
(Master thesis, 2023)The purpose of this research was to see the differences between centralized and decentralized in various fields, such as IoT, and cloud computing systems, to decide if additional security is needed. The study showed that ... -
Channel Gain Cartography via Mixture of Experts
(Journal article; Peer reviewed, 2020) -
CISO: The Diplomat between Cybersecurity and Top Management
(Master thesis, 2022)Digitalization has transformed nearly all businesses in the last decades and more businesses rely on digital solutions to survive. With this change cybersecurity has become even more important and it is now important that ... -
CISO: The Diplomat between Cybersecurity and Top Management
(Master thesis, 2022)Digitalization has transformed nearly all businesses in the last decades and more businesses rely on digital solutions to survive. With this change cybersecurity has become even more important and it is now important that ... -
City Resilience Dynamics tool
(Research report, 2017) -
Classes of sum-of-cisoids processes and their statistics for the modeling and simulation of mobile fading channels
(Journal article; Peer reviewed, 2013)In this paper, we present a fundamental study on the stationarity and ergodicity of eight classes of sum-of-cisoids (SOC) processes for the modeling and simulation of frequency-nonselective mobile Rayleigh fading channels. ... -
Classification of Diabetes and Cardiac Arrhythmia using Deep Learning
(Master thesis, 2018)Deep Learning (DL) is a research area that has ourished signi cantly in the recent years and has shown remarkable potential for arti cial intelligence in the eld of medical applications. The reasons for success are ... -
Classification of GNSS Jammers using Machine Learning : Multivariate Time Series and Image Classification Based Approaches
(Master thesis, 2021)GNSS is one of the most widely used positioning techniques in modern technology. However, the signals from the GNSS satellites are weak on earth due to the propagation attenuation, making GNSS-based systems vulnerable to ... -
Classification with Multiple Classes using Naïve Bayes and Text Generation with a Small Data Set using a Recurrent Neural Network
(Master thesis, 2017)In this thesis, text classification and text generation are explored using only a small data set and many classes. This thesis experiments with text classification, and show how it is able to find the most similar output ... -
Classifying and Localizing Abnormalities in Brain MRI Using Channel Attention Based Semi-Bayesian Ensemble Voting Mechanism and Convolutional Auto-Encoder
(Peer reviewed; Journal article, 2023)Adults who have brain tumors face a serious and potentially fatal challenge since the tumors rapidly growing malignant cells can seriously impair their physiological ability. In clinical practice, imaging techniques such ...