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Showing result 1 - 5 of 527 essays matching the above criteria.

  1. 1. LEARNING AND COLLABORATION VIA DIGITAL COMMUNICATION TECHNOLOGIES IN ECOVILLAGES A Study on Learning in Ecovillage Communities of Practice and Affordances of Virtual Immersive Learning Environments

    University essay from Institutionen för tillämpad informationsteknologi

    Author : Eralp Erol; [2024-03-19]
    Keywords : ecovillages; learning; affordances; communities of practice; situated learning; immersive technologies; remote collaboration;

    Abstract : Ecovillages are intentional residential communities aimed at improving human quality of life while protecting and regenerating the surrounding nature in order to create a more sustainable lifestyle based on cooperative culture and sharing (Dawson, 2006; GEN, n.d.b; Mychajluk, 2017). READ MORE

  3. 2. Machine Learning for Spatial Positioning for XR Environments

    University essay from Stockholms universitet/Institutionen för data- och systemvetenskap

    Author : Khaled Alraas; [2024]
    Keywords : Extended Reality; Machine Learning; Sensor Fusion; Spatial Data Accuracy Virtual Productions; Augmented Reality; Virtual Reality; Real-time Camera Tracking; Location-Based Services; Gaming Platforms; Sensor Integration;

    Abstract : This bachelor's thesis explores the integration of machine learning (ML) with sensor fusion techniques to enhance spatial data accuracy in Extended Reality (XR) environments. With XR's revolutionary impact across various sectors, accurate localization in virtual environments becomes imperative. READ MORE

  4. 3. 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

  5. 4. 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

  6. 5. Log Frequency Analysis for Anomaly Detection in Cloud Environments

    University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

    Author : Prathyusha Bendapudi; [2024]
    Keywords : Log Analysis; Log Frequency Patterns; anomaly detection; machine learning; cloud environments;

    Abstract : Background: Log analysis has been proven to be highly beneficial in monitoring system behaviour, detecting errors and anomalies, and predicting future trends in systems and applications. However, with continuous evolution of these systems and applications, the amount of log data generated on a timely basis is increasing rapidly. READ MORE