Essays about: "R software"

Showing result 1 - 5 of 171 essays containing the words R software.

  1. 1. Leveraging CNN for Automated Peak Picking in Untargeted Metabolomics without Parameter Dependencies

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Vivian Wang; Lidia Yalew; [2023-10-19]
    Keywords : Deep learning; Convolutional neural network; LC-MS; Peak Detection; Metabolomics; Faster R-CNN;

    Abstract : Metabolomics is a scientific discipline that involves the thorough analysis of small molecules, known as metabolites, found within a biological system. Furthermore, liquid chromatography-mass spectrometry (LC-MS) is a commonly used analytical technique in metabolomics for analysing biological samples due to its broad coverage of the measurable metabolome. READ MORE

  3. 2. Translation of pharmacometric models from NONMEM to nlmixr2 and RxODE2

    University essay from Uppsala universitet/Institutionen för farmaci

    Author : Johan Borg; [2023]
    Keywords : pharmacy; pharmacokinetics; pharmacodynamics; nlmixr; nlmixr2; rxode; rxode2; conversion; translation; NONMEM; PK; PD; PK PD; model; modeling; modelling;

    Abstract : The gold standard for pharmacometrics modeling, along with its modeling format, is currently NONMEM. In order to use other software, there is often a manual step of converting a model from one format to another, which is both time-consuming and causes manual errors. READ MORE

  4. 3. From Chaos to Cohesion, Identifying Inter-team Dependencies in Large-scale Agile Organisations : A case study of Volvo Cars

    University essay from Linköpings universitet/Projekt, innovationer och entreprenörskap

    Author : Anton Källström; Johan Westerberg; [2023]
    Keywords : Project Management; Dependencies; MNC; Automotive; Volvo Cars; Product Development; Agile; Agile Teams; Scaled Agile; Large-scale Agile; Scaled Agile Framework; SAFe; Planning; R D; Software; Software Development; Organizations; Collaboration; Communication; Innovation Management; Knowledge Management; Corporate Culture; Projektledning; Beroenden; MNC; Fordonsindustrin; Volvo Cars; Produktutveckling; Agilt; Agila team; Skalat agilt; Storskaligt agilt; Scaled Agile Framework; SAFe; Planering; R D; Mjukvara; Mjukvaruutveckling; Organisationer; Samarbete; Kommunikation; Innovationsledning; Kunskapshantering; Organisationskultur;

    Abstract : Product development is more complex than ever. Industries all over the world face intensified competition, forcing firms to improve their innovation performance. This involves integrating software development to a greater extent. As an effort to cope with such progression, agile project management methodologies have been adopted. READ MORE

  5. 4. A Qualitative Analysis of the Impact of Artificial Intelligence (AI) Adoption (Focusing on Machine Learning (ML)) on the Organizational Capabilities of the Telecom Industry in Sweden and Finland

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Neeraj Verma; [2023]
    Keywords : AI; R D; Industry 4.0; Qualitative Analysis; Innovation; Machine Learning; Business Performance; People and Culture; Process and Organization; Telecom; Technology.;

    Abstract : The German government's "Industry 4.0" paradigm transforms technology application across domains using real-time data and connectivity. The telecom sector's reliance on digital, software-driven infrastructure for real-time data and connectivity is paramount. READ MORE

  6. 5. Round-Trip Translation : A New Path for Automatic Program Repair using Large Language Models

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

    Author : Fernando Vallecillos Ruiz; [2023]
    Keywords : Automatic Program Repair; Software Engineering; Large Language Models; Round-Trip Translation; Neural Machine Translation; Automatisk programreparation; Mjukvaruutveckling; Stora språkmodeller; Tur och retur-översättning; Neural maskinöversättning;

    Abstract : Research shows that grammatical mistakes in a sentence can be corrected by machine translating it to another language and back. We investigate whether this correction capability of Large Language Models (LLMs) extends to Automatic Program Repair (APR), a software engineering task. READ MORE