Essays about: "Binary classification"

Showing result 6 - 10 of 217 essays containing the words Binary classification.

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

   University essay from KTH/Medicinteknik och hälsosystem

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

   Abstract : 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. READ MORE

3. 7. Predicting Nordic Takeover Targets: A Binary Logit Analysis

   University essay from Handelshögskolan i Stockholm/Institutionen för redovisning och finansiering

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

   Abstract : 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. READ MORE

4. 8. Evaluation of deep learning methods for industrial automation

   University essay from Umeå universitet/Institutionen för datavetenskap

   Author : Ragnar Onning; [2023]
   Keywords : artificial intelligence; machine learning; deep learning; cnn; transformer; swin; swin transformer;

   Abstract : 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. READ MORE

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

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

   Author : Ali Muquri; [2023]
   Keywords : ;

   Abstract : 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. READ MORE

6. 10. Prediction of the gain in classification performance from combining multiple imaging modalities

   University essay from Uppsala universitet/Institutionen för informationsteknologi

   Author : Roman Denkin; [2023]
   Keywords : ;

   Abstract : In this work, we investigate the relationship between different image modalities and classification performance, aiming to predict the potential gain in classification accuracy when combining multiple modalities. We analyze mathematical and statistical measures and develop novel reconstruction measures (RMSE and RSSIM) to assess information distribution between different image modalities. READ MORE