Essays about: "Computer based learning"

Showing result 1 - 5 of 446 essays containing the words Computer based learning.

  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

  2. 2. Exploring adaptation of self-supervised representation learning to histopathology images for liver cancer detection

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Markus Jonsson; [2024]
    Keywords : Self-supervised learning; Representation learning; Computer vision;

    Abstract : This thesis explores adapting self-supervised representation learning to visual domains beyond natural scenes, focusing on medical imaging. The research addresses the central question: "How can self-supervised representation learning be specifically adapted for detecting liver cancer in histopathology images?" The study utilizes the PAIP 2019 dataset for liver cancer segmentation and employs a self-supervised approach based on the VICReg method. READ MORE

  3. 3. Applying ChatGPT in AI-based dynamic video game narrative generation system

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Arturs Umbraško; Robert Drury; [2023-10-23]
    Keywords : Computer; science; engineering; thesis; ChatGPT; OpenAI; games; narrative; machine learning; interaction design;

    Abstract : ChatGPT’s release and general availability has the potential to create new possibilities for storytelling in games. There are potential benefits of leveraging ChatGPT to generate a narrative at runtime in a video game, as well as possible resulting pitfalls. READ MORE

  4. 4. Challenges in Specifying Safety-Critical Systems with AI-Components

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Iswarya Malleswaran; Shruthi Dinakaran; [2023-09-26]
    Keywords : Software engineering; Requirement engineering; Specification; Safety; Computer Science; Engineering; Machine learning; Deep learning; Runtime monitor; Data Selection; Data Collection;

    Abstract : Safety is an important feature in automotive industry. Safety critical system such as Advanced Driver Assistance System (ADAS) and Autonomous Driving (AD) follows certain processes and procedures in order to perform the desired function safely. READ MORE

  5. 5. An Empirical Survey of Bandits in an Industrial Recommender System Setting

    University essay from Göteborgs universitet/Institutionen för data- och informationsteknik

    Author : Tobias Schwarz; Johan Brandby; [2023-09-21]
    Keywords : computer science; industrial application; machine learning; reinforcement learning; multi-armed bandits; MAB; contextual multi-armed bandits; survey; batch learning;

    Abstract : In this thesis, the effects of incorporating unstructured data—images in the wild—in contextual multi-armed bandits are investigated, when used within a recommender system setting, which focuses on picture-based content suggestion. The idea is to employ image features, extracted by a pre-trained convolutional neural network, and study the resulting bandit behaviors when including respective excluding this information in the typical context creation, which normally relies on structured data sources—such as metadata. READ MORE