Energy-efficient Spike Encoding for ECG Arrhythmia Classification

Cardiovascular diseases (CVDs) are the top cause of death worldwide, and their diagnosis can be quickly and painlessly achieved through Electrocardiogram (ECG). The diagnosis of electrocardiogram has gradually evolved from manual diagnosis by doctors to one that can be realized using Artificial Intelligence (AI). Early AI still required manual...

Classes of Semi-binary Phylogenetic Networks encoded by μ-representations

This thesis is on the subject of phylogenetic networks. These are schematic<br/>visualisations used mainly to investigate the evolutionary history of species,<br/>but which can be used for any set of distinguishable elements which have diverged from a common ancestor through some evolutionary process. The research specifically focuses on a way...

Encoding methods for categorical data: A comparative analysis for linear models, decision trees, and support vector machines

This paper presents a comprehensive evaluation and comparison of encoding methods for categorical data in the context of machine learning. The study focuses on five popular encoding techniques: one-hot, ordinal, target, catboost, and count encoders. These methods are evaluated using linear models, decision trees, and support vector machines ...

Encoding undirected and semi-directed binary phylogenetic networks by quarnets

Phylogenetic networks generalize evolutionary trees and are commonly used to represent evolutionary relationships between species that undergo reticulate evolutionary processes such as hybridization, recombination and lateral gene transfer. In this thesis all quarnets, networks on four species, of a network are assumed to be known. We prove that...

Exploring Heuristic Methods for the Resource-Constrained Project Scheduling Problem with Logical Constraints

This paper presents the use of a heuristic solution method to improve the process of creating a conjunctive normal form (CNF) encoding of and finding optimal solutions to instances of the resource-constrained project scheduling problem with logical constraints (RCPSP-Log).<br/><br/>The RCPSP is an optimisation problem consisting of a set of...

Encoding level-k phylogenetic networks

Phylogenetic networks are used to describe evolutionary histories and are a generalisation of evolutionary trees. They can contain so called reticulations, representing reticulate evolution, such as hybridization, lateral gene transfer and recombination. Methods are being developed to construct certain rooted phylogenetic networks from their...

Population Step Forward Encoding Algorithm: Improving the signal encoding accuracy and efficiency of spike encoding algorithms

Conversion from digital information to spike trains is needed for Spiking Neural Networks. Moreover, it is one of the most important steps for Spiking Neural Networks. This conversion could lead to much information loss depending on which encoding algorithm is used. Another major problem that can occur in a specific use-case is the limited...

Rooted binary level-3 phylogenetic networks are encoded by quarnets

Phylogenetic networks generalize evolutionary trees and are commonly used to represent evolutionary relationships between species that undergo reticulate processes such as hybridization, recombination and lateral gene transfer. Recently, there has been great interest in knowing which networks are determined or encoded by their trinets, that are...