Browsing Department of Informatics by Title
Now showing items 351-370 of 1199
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Employing Deep Learning for Fish Recognition
(Master thesis, 2018-08-21)Underwater imagery processing is in high demand, but the unrestricted environment makes it difficult to develop methods for analyzing it. Not only is obtaining a dataset for a single species difficult, but there are reported ... -
Enabling same-day delivery using a drone resupply model with transshipment points
(Journal article; Peer reviewed, 2023)We study a hybrid logistics delivery model which incorporates trucks and drones. In this model, named the Drone Resupply Model with Transshipment Points (DRMTP), drones are used to resupply transshipment points where trucks ... -
Enabling unstructured-mesh computation on massively tiled AI processors: An example of accelerating in silico cardiac simulation
(Journal article; Peer reviewed, 2023)A new trend in processor architecture design is the packaging of thousands of small processor cores into a single device, where there is no device-level shared memory but each core has its own local memory. Thus, both the ... -
Encoding and decoding of several optimal rank metric codes
(Journal article; Peer reviewed, 2022)This paper presents encoding and decoding algorithms for several families of optimal rank metric codes whose codes are in restricted forms of symmetric, alternating and Hermitian matrices. First, we show the evaluation ... -
Energy-scale Aware Feature Extraction for Flow Visualization
(Peer reviewed; Journal article, 2011)In the visualization of flow simulation data, feature detectors often tend to result in overly rich response, making some sort of filtering or simplification necessary to convey meaningful images. In this paper we present ... -
Enhanced Anomaly Detection in Industrial Control Systems aided by Machine Learning
(Master thesis, 2024-05-29)This thesis investigates the potential of enhancing anomaly detection in Industrial Control Systems (ICS) through the integration of Machine Learning (ML) with traditional Network Intrusion Detection Systems (NIDS) and ... -
Enhanced biomedical data extraction from scientific publications
(Master thesis, 2023-06-01)The field of scientific research is constantly expanding, with thousands of new articles being published every day. As online databases grow, so does the need for technologies capable of navigating and extracting key ... -
Enhanced protein identification through automated search parameter selection
(Master thesis, 2023-06-02)Mass spectrometry-based proteomics plays a critical role in identifying and quantifying proteins. Proteomics search engines, integral to this process, require meticulous parameter selection to achieve accurate results. ... -
Enhancing Content Management in DPG
(Master thesis, 2013-11-20)This thesis analyzes the usability aspects of PCE and implements a new Single Page Application that attempts to solve this issues -
Enhancing Dementia Diagnosis through Mobile Technology -Development and Evaluation of a Cognitive Assessment Application
(Master thesis, 2023-12-01) -
An Ensemble Feature Selection Framework Integrating Stability
(Chapter; Peer reviewed, 2019)Ensemble feature selection has drawn more and more attention in recent years. There are mainly two strategies for ensemble feature selection, namely data perturbation and function perturbation. Data perturbation performs ... -
Enumerating minimal connected dominating sets in graphs of bounded chordality
(Peer reviewed; Journal article, 2015)Listing, generating or enumerating objects of specified type is one of the principal tasks in algorithmics. In graph algorithms one often enumerates vertex subsets satisfying a certain property. We study the enumeration ... -
eQTLs as causal instruments for the reconstruction of hormone linked gene networks
(Journal article; Peer reviewed, 2022)Hormones act within in highly dynamic systems and much of the phenotypic response to variation in hormone levels is mediated by changes in gene expression. The increase in the number and power of large genetic association ... -
Error Detection and Correction for Symmetric and Asymmetric Channels
(Doctoral thesis, 2007-08-27)When a message is sent over a channel errors can occur due to noise during the transmission. So it is very important to know the error correction and detection capability of the code, which is used to encode the message. ... -
ETH Tight Algorithms for Geometric Intersection Graphs: Now in Polynomial Space
(Journal article; Peer reviewed, 2021)De Berg et al. in [SICOMP 2020] gave an algorithmic framework for subexponential algorithms on geometric graphs with tight (up to ETH) running times. This framework is based on dynamic programming on graphs of weighted ... -
ETH-Tight Algorithms for Finding Surfaces in Simplicial Complexes of Bounded Treewidth
(Journal article; Peer reviewed, 2022)Given a simplicial complex with n simplices, we consider the Connected Subsurface Recognition (c-SR) problem of finding a subcomplex that is homeomorphic to a given connected surface with a fixed boundary. We also study ... -
ETH-tight algorithms for long path and cycle on unit disk graphs
(Journal article; Peer reviewed, 2020)We present an algorithm for the extensively studied Long Path and Long Cycle problems on unit disk graphs that runs in time 2O(√k)(n + m). Under the Exponential Time Hypothesis, Long Path and Long Cycle on unit disk graphs ... -
Evaluating vascular visualization methods for pre-operative planning in the mesentery
(Master thesis, 2021-11-26)In this thesis I evaluate and compare a selection of vascular visualization methods with the help of surgeons. Vessel topology is highly varied, and individuals may have extra or "missing" branches, changes in connectivity, ... -
Evaluation and Improvement of Machine Learning Algorithms in Drug Discovery
(Master thesis, 2022-06-01)Drug discovery plays a critical role in today’s society for treating and preventing sickness and possibly deadly viruses. In early drug discovery development, the main challenge is to find candidate molecules to be used ... -
Evolution and developmental system drift in the endoderm gene regulatory network of Caenorhabditis and other nematodes
(Journal article; Peer reviewed, 2020)Developmental gene regulatory networks (GRNs) underpin metazoan embryogenesis and have undergone substantial modification to generate the tremendous variety of animal forms present on Earth today. The nematode Caenorhabditis ...