Sökning: "sequence classification"
Visar resultat 1 - 5 av 77 uppsatser innehållade orden sequence classification.
1. Nanometa Live : A real-time metagenomic analysis pipeline and interface for species classification and pathogen characterization
Kandidat-uppsats, Högskolan i Skövde/Institutionen för biovetenskapSammanfattning : Metagenomics studies the totality of genomes of all species in a microbial community. It is a young, growing field with medical, industrial, and ecological applications. Abundant metagenomic data is being produced today, but there is a lack of interpretation and visualization tools. LÄS MER
2. Lokalisering av borrhål i underjordsgruvor : Face drilling, del av adaptive automations projekt på Epiroc
Master-uppsats, Örebro universitet/Institutionen för naturvetenskap och teknikSammanfattning : Yrkesmän har manuellt gjort borrplaner för varje borrsekvens, men denna modul med ett neuralt nätverk för punktmolnssegmentering- och- klassificering kommer att underlätta yrkesmännens behov genom att förenkla processen och utesluta orimliga delar i utgångsplanen. Dettaexamensarbete, som utförts i samarbete med Epiroc, en svensk tillverkare av gruv- och infrastrukturutrustning, fokuserar på att automatisera borrprocessen vid underjordisk gruvdrift. LÄS MER
3. Monolingual and Cross-Lingual Survey Response Annotation
Master-uppsats, Uppsala universitet/Institutionen för lingvistik och filologiSammanfattning : Multilingual natural language processing (NLP) is increasingly recognized for its potential in processing diverse text-type data, including those from social media, reviews, and technical reports. Multilingual language models like mBERT and XLM-RoBERTa (XLM-R) play a pivotal role in multilingual NLP. LÄS MER
4. Decoding communication of non-human species - Unsupervised machine learning to infer syntactical and temporal patterns in fruit-bats vocalizations.
Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskapSammanfattning : Decoding non-human species communication offers a unique chance to explore alternative intelligence forms using machine learning. This master thesis focuses on discreteness and grammar, two of five linguistic areas machine learning can support, and tackles inferring syntax and temporal structures from bioacoustics data annotated with animal behavior. LÄS MER
5. Microbial diversity in Swedish breeds of sheep analysed by amplicon based sequencing
Master-uppsats, SLU/Dept. of Anatomy, Physiology and BiochemistrySammanfattning : The gastrointestinal tract (GIT) of ruminants have divergent type of microbiome provides favourable environment for their growth. In many species, these microbiome considered as important source of assessing animal health & welfare. LÄS MER