Essays about: "project SUCCESS"

Showing result 6 - 10 of 850 essays containing the words project SUCCESS.

  1. 6. Creating a High-Throughput Workflow for Automated Peptide Characterization using LC-MS

    University essay from Lunds universitet/Centrum för analys och syntes

    Author : Sara Forsberg; [2023]
    Keywords : High-throughput analysis; Impurity profiling; UHPLC-HRMS; Peptide characterization; Peptide descriptors; Analytical chemistry; Technology and Engineering;

    Abstract : In the early stage of a drug discovery project, there is a need for efficient methods that can analyse peptides in short time. This includes methods that confirm the peptide’s identity and estimates its relative purity in an efficient and reliable way. READ MORE

  3. 7. Detecting Distracted Drivers using a Federated Computer Vision Model : With the Help of Federated Learning

    University essay from Mittuniversitetet/Institutionen för data- och elektroteknik (2023-)

    Author : Joel Viggesjöö; [2023]
    Keywords : Machine Learning; Federated Learning; Computer Vision;

    Abstract : En av de vanligaste distraktionerna under bilkörning är utförandet av aktiviteter som avlägsnar förarens fokus från vägen, exempelvis användandet av en telefon för att skicka meddelanden. Det finns många olika sätt att hantera dessa problem, varav en teknik är att använda maskininlärning för att identifiera och notifiera distraherade bilförare. READ MORE

  4. 8. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

    University essay from Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

    Author : Erik Everett Palm; [2023]
    Keywords : bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

    Abstract : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. READ MORE

  5. 9. Expert Knowledge Elicitation for Machine Learning : Insights from a Survey and Industrial Case Study

    University essay from Jönköping University/Jönköping AI Lab (JAIL)

    Author : Samuel Svensson; Oskar Persson; [2023]
    Keywords : knowledge elicitation; machine learning; expert knowledge; informed machine learning; hybrid machine learning; survey; taxonomy;

    Abstract : While machine learning has shown success in many fields, it can be challenging when there are limitations with insufficient training data. By incorporating knowledge into the machine learning pipeline, one can overcome such limitations. Therefore, eliciting expert knowledge can play an important role in the machine learning project pipeline. READ MORE

  6. 10. Enhancing Accountability to Affected Populations through Donor Requirements : A grounded theory-based analysis of the current situation, donor motivations and bottlenecks around setting requirements, further constraints and how they could be overcome.

    University essay from Uppsala universitet/Teologiska institutionen

    Author : Clara Rattmann; [2023]
    Keywords : AAP; accountability to affected populations; humanitarian; accountability; participation; project design; proposal; funding; grant; donor requirement; disaster response; affected populations; donor; NGO; grounded theory;

    Abstract : Even though supporting affected populations is the raison d’etre for humanitarian action, organisations are frequently not accountable to populations they aim to serve. Despite several reform movements, the consultation and participation elements of accountability to affected populations (AAP), in particular, are still lacking. READ MORE