Sökning: "sequence prediction"

Visar resultat 26 - 30 av 87 uppsatser innehållade orden sequence prediction.

1. 26. Strategy to assess workstation ergonomics using virtual models of production

   Kandidat-uppsats, Högskolan i Skövde/Institutionen för ingenjörsvetenskap

   Författare :Fermin Aranda Avila; José María González Hernández-Carrillo; [2021]
   Nyckelord :Ergonomic assessment; motion capture; digital human modelling; virtual reality;

   Sammanfattning : Background: Work-related musculoskeletal disorders (WRMSD) are a disadvantage for companies both from the health and economics view. To reduce them, workstation ergonomics need to be accounted for. LÄS MER

3. 27. Exploring DeepSEA CNN and DNABERT for Regulatory Feature Prediction of Non-coding DNA

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Jacob Stachowicz; [2021]
   Nyckelord :Machine Learning; Computer Science; Bioinformatics; Genomics; Transformer; Natural Language Processing; Whole Genome Sequencing; Non-codingDNA; DeepSEA; CNN; DNABert; BERT; DanQ; Biomedical Science; Computational Biology; AuROC; AUPRC; Maskininlärning; Datavetenskap; Bioinformatik; Genomik; Transformer; Språkteknologi; Helgenomsekvensering; icke-kod DNA; DeepSEA; CNN; DNABert; BERT; DanQ; Biomedicinsk vetenskap; Beräkningsbiologi; AuROC; AUPRC;

   Sammanfattning : Prediction and understanding of the regulatory effects of non-coding DNA is an extensive research area in genomics. Convolutional neural networks have been used with success in the past to predict regulatory features, making chromatin feature predictions based solely on non-coding DNA sequences. LÄS MER

4. 28. Prediction of Component Breakdowns in Commercial Trucks : Using Machine Learning on Operational and Repair History Data

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Einar Bremer; [2020]
   Nyckelord :Machine Learning; Data Science; Neural Networks; Recurrent Neural Networks; Random Forest; Autoencoder; Long Short Term Memory;

   Sammanfattning : The strive for cost reduction of services and repairs combined with a desire for increased vehicle reliability has led to the development of predictive maintenance programs. In maintenance plans, accurate forecasts and predictions regarding which components in a vehicle is in risk of a breakdown is bene_cial to obtain since this enables components to be predictively exchanged or serviced before they break down and cause unnecessary downtime. LÄS MER

5. 29. Vehicle Path Prediction Using Recurrent Neural Network

   Master-uppsats, Linköpings universitet/Statistik och maskininlärning

   Författare :Mim Kemal Tekin; [2020]
   Nyckelord :computer vision; autonomous driving; deep learning; uncertainty in deep learning;

   Sammanfattning : Vehicle Path Prediction can be used to support Advanced Driver Assistance Systems (ADAS) that covers different technologies like Autonomous Braking System, Adaptive Cruise Control, etc. In this thesis, the vehicle’s future path, parameterized as 5 coordinates along the path, is predicted by using only visual data collected by a front vision sensor. LÄS MER

7. 30. Empirisk bestämning av nollföljdsimpedans hos transformatorer med utdragen deltalindning

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Carmen Dahlin; [2020]
   Nyckelord :;

   Sammanfattning : The main goal of the thesis is through available data, empirically determine the ratio betweenthe zero and positive-sequence impedance of different transformers with accessible-winding, i.e. when the -winding is loaded. LÄS MER