Essays about: "Performance in the examination"

Showing result 16 - 20 of 182 essays containing the words Performance in the examination.

  1. 16. Automatic Detection of Tumour Infiltrating Lymphocytes in Breast Cancer Whole Slide Images

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Laureanne Antoinette Josephine Brechje Geraldine van Dijk; Tara Helena Irene de Groot; [2023]
    Keywords : Lymphocytes; Image Processing; Computer-Assisted; Pathology; Deep Learning; Artificial Intelligence; Breast Neoplasms;

    Abstract : Cancer is one of the most common diseases this century, with breast cancer being the most common form. Pathological examination is used to detect and quantify Tumour-infiltrating lymphocytes (TILs) in breast cancer Whole Slide Images (WSIs), which can be done manually or automatically. READ MORE

  3. 17. Avelsarbetet med svenska varmblodshästar

    University essay from SLU/Dept. of Anatomy, Physiology and Biochemistry

    Author : Alba Bengtsson; [2023]
    Keywords : Svenskt varmblod; avelsarbete; avelsprogram;

    Abstract : Det svenska varmblodet (SWB) är ett av världens äldsta varmblod med rötter i en äldre kavallerihäst. Idag är avelsmålet för SWB-hästen inte längre att bistå Sverige i krig utan att vara en internationellt konkurrenskraftig tävlingsindivid i hoppning, dressyr eller fälttävlan. READ MORE

  4. 18. Particle Detection in Bone Marrow Using CNNs and Transformer Networks

    University essay from Lunds universitet/Matematik LTH

    Author : Anna Källén; Marcus Williams; [2023]
    Keywords : Bone Marrow; Dark Field Microscopy; Fourier Ptychography; Machine Learning; Convolutional Neural Networks; Transformer Networks; Quantisation; Technology and Engineering;

    Abstract : The critical role of hematological stem cells, concentrated in bone marrow, in disease diagnosis makes the detection of these cells an imperative task. The current process, however, is slow and heavily reliant on expert interpretation, underscoring the need for automation. READ MORE

  5. 19. Flexible Sector Coupling (FSC) of Electrical and Thermal Sectors via Thermal Energy Storage (TES) : A Case Study on Oskarshamn Energi

    University essay from KTH/Skolan för industriell teknik och management (ITM)

    Author : Raúl Calvo García; Jose María Marín Arcos; [2023]
    Keywords : Flexible sector coupling FSC ; district heating DH ; thermal energy storage TES ; heat pump HP ; capacity optimization; dispatch optimization; open-access tools; Flexibel sektorkoppling; fjärrvärme; termisk energilagring; värmepump; kapacitetsoptimering; leveransoptimering; verktyg med öppen tillgång;

    Abstract : The integration of distributed energy sources and systems is of high relevance for the transition towards a more sustainable energy system. Taking into consideration the  amount of emissions produced by the heating sector, which account for at least half of the energy demand in buildings, district heating systems have the potential to play a key role in the transition, by enabling the integration of various energy sources and provide flexible energy services to the grid. READ MORE

  6. 20. Prompt-learning and Zero-shot Text Classification with Domain-specific Textual Data

    University essay from Uppsala universitet/Institutionen för lingvistik och filologi

    Author : Hengyu Luo; [2023]
    Keywords : prompt-learning; zero-shot; few-shot; text classification; domain-specific; retail sector domain; customer-agent interaction; transformer; large language models; ChatGPT; natural language processing; machine learning; deep learning;

    Abstract : The rapid growth of textual data in the digital age presents unique challenges in domain-specific text classification, particularly the scarcity of labeled data for many applications, due to expensive cost of manual labeling work. In this thesis, we explore the applicability of prompt-learning method, which is well-known for being suitable in few-shot scenarios and much less data-consuming, as an emerging alternative to traditional fine-tuning methods, for domain-specific text classification in the context of customer-agent interactions in the retail sector. READ MORE