Essays about: "COMPUTER LEARNING"

Showing result 1 - 5 of 976 essays containing the words COMPUTER LEARNING.

  1. 1. Teaching pronunciation effectively in an EFL classroom; a literature review

    University essay from Malmö universitet/Institutionen för kultur, språk och medier (KSM)

    Author : My Olsson; Alice Osborne; [2024]
    Keywords : effective teaching; English as a Foreign Language; intelligibility; secondary education; pronunciation;

    Abstract : This study provides a literature review of the most effective ways to teach pronunciation to EFL secondary school students in Sweden. There is limited time allocated to pronunciation leading to a scarcity of available effective methods. This impacts the important role which intelligibility holds in pronunciation. READ MORE

  3. 2. Implementing End-to-End MLOps for Enhanced Steel Production

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Marcus Westin; Jacob Berggren; [2024]
    Keywords : MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Abstract : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). READ MORE

  4. 3. Data Augmentation for Object Detection using Deep Reinforcement Learning

    University essay from Lunds universitet/Institutionen för reglerteknik

    Author : Axel Andersson; Nils Hallerfelt; [2024]
    Keywords : Technology and Engineering;

    Abstract : Data augmentation is a concept which is used to improve machine learning models for computer vision tasks. It is usually done by firstly, defining a set of functions which transforms images and secondly, applying a random selection of these functions on the images. READ MORE

  5. 4. 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

  6. 5. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment

    University essay from

    Author : Venkata Vamsi Challa; [2024]
    Keywords : Semantic Segmentation; Scene Classification; Environment Recognition; Machine Learning; Deep Learning; Image Classification; Vision Transformers; SAM Segment Anything Model ; Image Segmentation; Contour-aware semantic segmentation;

    Abstract : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. READ MORE