Essays about: "sequence to sequence learning"

Showing result 6 - 10 of 184 essays containing the words sequence to sequence learning.

  1. 6. Design and Evaluation of Peptide Binders : In silico evaluation and comparison of generative AI for de novo peptide binder design

    University essay from Uppsala universitet/Beräkningsbiologi och bioinformatik

    Author : Linde Brokmar; [2023]
    Keywords : Protein design; de novo design; protein engineering; generative ai; machine learning; peptide binders; AF2; EvoBind; RFdiffusion; ProteinMPNN;

    Abstract : Peptide binders are short proteins that bind to larger proteins. Due to peptide binders having high specificity and being cheap to synthesize, they are a prime candidate for drug design. Creating new proteins in silico can be divided into three steps: protein backbone generation, sequence design, and computational filtering. READ MORE

  3. 7. Streamline searches in a database

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : David Ellerblad Valtonen; André Franzén; [2023]
    Keywords : AI; NLP; ML; Artificial Intelligence; Natural Language Processing; Machine Learning; text-to-sql; seq-to-seq; sequence-to-sequence;

    Abstract : The objective of this thesis is to explore technologies and solutions and see if it is possible to make a logistical flow more efficient. The logistical flow consists of a database containing materiel for purchase or reparation. As of now, searches may either result in too many results, of which several are irrelevant, or no results at all. READ MORE

  4. 8. Determining Protein Conformational Ensembles by Combining Machine Learning and SAXS

    University essay from KTH/Tillämpad fysik

    Author : Samuel Eriksson Lidbrink; [2023]
    Keywords : AlphaFold; AlphaFold2; SAXS; protein conformational ensembles; machine learning; protein conformations; reweighting; SAXS; AlphaFold; AlphaFold2; proteinkonformationsensembler; maskininlärning; proteinkonformationer; omviktning;

    Abstract : In structural biology, immense effort has been put into discovering functionally relevant atomic resolution protein structures. Still, most experimental, computational and machine learning-based methods alone struggle to capture all the functionally relevant states of many proteins without very involved and system-specific techniques. READ MORE

  5. 9. SubKluster: Novel method to bin scaffolds from cereal genomes into subgenomes using substring frequency analysis

    University essay from Lunds universitet/Examensarbeten i bioinformatik

    Author : Victor Kalbskopf; [2023]
    Keywords : Biology and Life Sciences;

    Abstract : The genome of the Belinda variety of the hexaploid oat (Avena sativa) has recently been sequenced and assembled. This project aims to improve the assembly by clustering the thousands of scaffolds into their three ancestral subgenomes using Principle Component Analysis (PCA) of kmer and repeat-element frequencies. READ MORE

  6. 10. Multi-Scale Task Dynamics in Transfer and Multi-Task Learning : Towards Efficient Perception for Autonomous Driving

    University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)

    Author : Simon Ekman von Huth; [2023]
    Keywords : Autonomous Driving; Computer Vision; Deep Learning; Machine Learning; Multi-Task Learning; Transfer Learning; Task Relationships; Task Dynamics; Python; Multi-Scale Representation Learning; Fuss-Free Network; Självkörande Fordon; Datorseende; Djupinlärning; Maskininlärning; Multiuppgiftsinlärning; Överföringsinlärning; Uppgiftsrelationer; Uppgiftsdynamik; Python; Flerskalig Representationsinlärning; Fuss-Free Nätverk;

    Abstract : Autonomous driving technology has the potential to revolutionize the way we think about transportation and its impact on society. Perceiving the environment is a key aspect of autonomous driving, which involves multiple computer vision tasks. READ MORE