Sökning: "binary classification."

Visar resultat 6 - 10 av 231 uppsatser innehållade orden binary classification..

1. 6. Subject-Verb Agreement Errors in Swedish 9th and 11th Grade Students’ English Written Production

   M1-uppsats, Högskolan i Gävle/Avdelningen för humaniora

   Författare :Maiko Tsukanaka; [2023]
   Nyckelord :Second Language Acquisition SLA ; Swedish Learner English Corpus SLEC ; Swedish-speaking learners of English; Error analysis; Subject-verb agreement; Transfer; Overgeneralization;

   Sammanfattning : This study aims to investigate possible factors contributing to subject-verb agreement errors in Swedish junior and senior high school students' English written production. The sample data is collected from the Swedish Learner English Corpus (SLEC), which comprises student texts produced in a classroom setting. LÄS MER

3. 7. Towards a feedback system for upper body bodyweight exercises using multiple inertial measurement units : A user-centred approach

   Master-uppsats, KTH/Medicinteknik och hälsosystem

   Författare :Panagiota Papadopoulou; [2023]
   Nyckelord :IMU sensors; bodyweight training; machine learning; real-time feedback; push-ups; tricep dips; plank;

   Sammanfattning : This thesis explores the feasibility of developing an affordable and easy-to-use feed- back system that leverages information from multiple inertial measurement units (IMUs) to identify mistakes during upper body bodyweight training and provide real-time feedback to the user. To develop the system, a human-centered approach was used, which involved conducting semi-structured interviews with movement ex- perts and a workshop with targeted end-users to understand their needs. LÄS MER

4. 8. Predicting Nordic Takeover Targets: A Binary Logit Analysis

   C-uppsats, Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

   Författare :Joanna Danielson; Siri Ridderstråle; [2023]
   Nyckelord :binary logit model; prediction; Nordics; takeover; target;

   Sammanfattning : This thesis aims to investigate if certain firm characteristics increase the likelihood of a company being acquired and if these factors can successfully predict which firms become subjects to takeovers in the Nordic setting. We compare data on a sample of Nordic targets and non-targets between the years 2012 and 2021, and test hypotheses regarding firm and industry characteristics, as well as market sentiments through binary logit models. LÄS MER

5. 9. Evaluation of deep learning methods for industrial automation

   Master-uppsats, Umeå universitet/Institutionen för datavetenskap

   Författare :Ragnar Onning; [2023]
   Nyckelord :artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

   Sammanfattning : The rise and adaptation of the transformer architecture from natural language processing to visual tasks have proven a useful and powerful tool. Subsequent architectures such as visual transformers (ViT) and shifting window (SWIN) transformers have proven to be comparable and oftentimes exceed convolutional neural networks (CNNs) in terms of accuracy. LÄS MER

7. 10. Aggregating predictions of a yeast semantic segmentation model : Reducing a pixel classifier into a binary image classifier

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

   Författare :Ali Muquri; [2023]
   Nyckelord :;

   Sammanfattning : The introduction of machine learning in clinical microbiology is important for aiding clinical laboratories with highly repetitive tasks that are fatiguing, error-prone, and require long employee training time due to the complex nature of the task. A challenging task that belongs to the subareas that need assistance is yeast detection in fluorescence microscopy where various yeast morphologies exist. LÄS MER