The 8th International Conference on Advances in Construction Machinery and Vehicle Engineering
ICACMVE 2023
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Book and Conference Proceedings
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Article
Open AccessENVirT: inference of ecological characteristics of viruses from metagenomic data
Estimating the parameters that describe the ecology of viruses,particularly those that are novel, can be made possible using metagenomic approaches. However, the best-performing existing methods require databa...
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Chapter and Conference Paper
A Memetic Cooperative Co-evolution Model for Large Scale Continuous Optimization
Cooperative co-evolution (CC) is a framework that can be used to ‘scale up’ EAs to solve high dimensional optimization problems. This approach employs a divide and conquer strategy, which decomposes a high dim...
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Article
Open AccessAccurate reconstruction of viral quasispecies spectra through improved estimation of strain richness
Estimating the number of different species (richness) in a mixed microbial population has been a main focus in metagenomic research. Existing methods of species richness estimation ride on the assumption that the...
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Article
Open AccessA new peak detection algorithm for MALDI mass spectrometry data based on a modified Asymmetric Pseudo-Voigt model
Mass Spectrometry (MS) is a ubiquitous analytical tool in biological research and is used to measure the mass-to-charge ratio of bio-molecules. Peak detection is the essential first step in MS data analysis. P...
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Chapter and Conference Paper
Cable Function Analysis for the Musculoskeletal Static Workspace of a Human Shoulder
The study of cable function allows the particular cables towards generation of to determined for cable-driven manipulators (CDPMs). This study is fundamental in the understanding of the arrangement o...
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Reference Work Entry In depth
Binning Sequences Using Very Sparse Labels Within a Metagenome
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Article
Open AccessInferring copy number and genotype in tumour exome data
Using whole exome sequencing to predict aberrations in tumours is a cost effective alternative to whole genome sequencing, however is predominantly used for variant detection and infrequently utilised for dete...
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Living Reference Work Entry In depth
Binning Sequences Using Very Sparse Labels Within a Metagenome
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Article
Exploratory analysis of high-throughput metabolomic data
In order to make sense of the sheer volume of metabolomic data that can be generated using current technology, robust data analysis tools are essential. We propose the use of the growing self-organizing map (G...
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Article
Open AccessErratum to: CoNVEX: copy number variation estimation in exome sequencing data using HMM
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Article
Open AccessCoNVEX: copy number variation estimation in exome sequencing data using HMM
One of the main types of genetic variations in cancer is Copy Number Variations (CNV). Whole exome sequenicng (WES) is a popular alternative to whole genome sequencing (WGS) to study disease specific genomic v...
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Chapter and Conference Paper
The Algorithm Selection Problem on the Continuous Optimization Domain
The problem of algorithm selection, that is identifying the most efficient algorithm for a given computational task, is non-trivial. Meta-learning techniques have been used successfully for this problem in par...
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Chapter and Conference Paper
On the Task Specific Evaluation and Optimisation of Cable-Driven Manipulators
Cable-driven manipulators are traditionally designed for general performance objectives, such as maximisation of workspace. To take advantage of the reconfigurability of cable-driven mechanisms, the optimisati...
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Chapter and Conference Paper
A Meta-learning Prediction Model of Algorithm Performance for Continuous Optimization Problems
Algorithm selection and configuration is a challenging problem in the continuous optimization domain. An approach to tackle this problem is to develop a model that links landscape analysis measures and algorit...
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Article
Open AccessThe oligonucleotide frequency derived error gradient and its application to the binning of metagenome fragments
The characterisation, or binning, of metagenome fragments is an important first step to further downstream analysis of microbial consortia. Here, we propose a one-dimensional signature, OFDEG, derived from the...
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Article
Structure adaptation of hierarchical knowledge-based classifiers
This paper introduces a new method to identify the qualified rule-relevant nodes to construct hierarchical neuro-fuzzy systems (HNFSs). After learning, the proposed method analyzes the entire history of activi...
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Chapter
The Rationale Behind Seeking Inspiration from Nature
There are currently numerous heuristic algorithms for combinatorial optimisation problems which are commonly described as nature-inspired. Parallels can certainly be drawn between these algorithms and various ...
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Chapter
Dynamic Self-Organising Maps: Theory, Methods and Applications
In an effort to counter the restrictions enforced by the fixed map size and aspect ratio of a Kohonen Self-Organising Map, many variants to the method have been proposed. As a recent development, the Dynamic S...
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Article
Open AccessBinning sequences using very sparse labels within a metagenome
In metagenomic studies, a process called binning is necessary to assign contigs that belong to multiple species to their respective phylogenetic groups. Most of the current methods of binning, such as BLAST, k-me...
