Essays about: "new segment"

Showing result 1 - 5 of 318 essays containing the words new segment.

  1. 1. Exploring the Depth-Performance Trade-Off : Applying Torch Pruning to YOLOv8 Models for Semantic Segmentation Tasks

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

    Author : Xinchen Wang; [2024]
    Keywords : Deep Learning; Semantic segmentation; Network optimization; Network pruning; Torch Pruning; YOLOv8; Network Depth; Djup lärning; Semantisk segmentering; Nätverksoptimering; Nätverksbeskärning; Fackelbeskärning; YOLOv8; Nätverksdjup;

    Abstract : In order to comprehend the environments from different aspects, a large variety of computer vision methods are developed to detect objects, classify objects or even segment them semantically. Semantic segmentation is growing in significance due to its broad applications in fields such as robotics, environmental understanding for virtual or augmented reality, and autonomous driving. READ MORE

  3. 2. An Exploratory Analysis of Illiquid Assets: A Case Study On Dicopay Company

    University essay from Göteborgs universitet/Graduate School

    Author : Fabrizio Lanna; [2023-07-20]
    Keywords : FinTech; Artificial Intelligence; Robotic Process Automation; Factoring; Invoices; Late Payments; Software; Buy Now Pay Later Solution; Blue Ocean Strategy;

    Abstract : In Business life, whether companies are selling goods or services, one thing is certain: cash is king. The success of a Small-to-Medium-Enterprise depends on the money at hand, and a series of aspects can positively or negatively influence the availability of cash. READ MORE

  4. 3. Double Machine Learning for Insurance Price Optimization

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

    Author : Jakob Kristiansson; [2023]
    Keywords : DML; Double Machine Learning; Price Optimization; Insurance Pricing; DML; Dubbel Maskininlärning; Prisoptimering; Försäkringsprissättning;

    Abstract : This thesis examines how recent advances in debaised machine learning can be used for estimating price elasticities of demand within the automotive insurance field. Traditional methods such as generalized linear model (GLM) to estimate demand has no way of ensuring there are no biases in the underlying data selection, especially when the confounding variables are many. READ MORE

  5. 4. Simulating metal ct artefacts for ground truth generation in deep learning.

    University essay from Lunds universitet/Avdelningen för Biomedicinsk teknik

    Author : Arthur Barakat; [2023]
    Keywords : Technology and Engineering;

    Abstract : CT scanning stands as one of the most employed imaging techniques used in clinical field. In the presence of metal implants in the field of view (FOV), distortions and noise appear on the 3D image leading to inaccurate bone segmentation, often required for surgery planning or implant design. READ MORE

  6. 5. 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