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Showing result 1 - 5 of 160 essays matching the above criteria.

  1. 1. Self-Supervised Learning for Tabular Data: Analysing VIME and introducing Mix Encoder

    University essay from Lunds universitet/Fysiska institutionen

    Author : Max Svensson; [2024]
    Keywords : Machine Learning; Self-supervised learning; AI; Physics; Medicine; Physics and Astronomy;

    Abstract : We introduce Mix Encoder, a novel self-supervised learning framework for deep tabular data models based on Mixup [1]. Mix Encoder uses linear interpolations of samples with associated pretext tasks to form useful pre-trained representations. READ MORE

  3. 2. 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

  4. 3. Fast Art – A Virtual Fashion Exhibition

    University essay from Linköpings universitet/Medie- och Informationsteknik; Linköpings universitet/Tekniska fakulteten

    Author : Eva Masiero; [2023]
    Keywords : Sustainable Fashion; Virtual Reality; Art; Co-Design;

    Abstract : This thesis focuses on research through the design process of building an immersive Virtual Reality (VR) experience concept resembling a digital art gallery. It covers the topics of sustainable fashion, changing people’s perspectives and behaviour, and new technologies like VR and Artificial Intelligence (AI). READ MORE

  5. 4. Being Offered an Alternative to Prosecution: The Lived Experience of General Aviation Pilots and Prosecutors

    University essay from Lunds universitet/Avdelningen för Riskhantering och Samhällssäkerhet

    Author : Bram Couteaux; [2023]
    Keywords : Just Culture; Second Victims; Forgiveness; Normative Performance; Aviation; Restorative Justice; Accident; Incident; Human Error; Punishment; Lived Experience; Phenomenology; FLMU06; Social Sciences;

    Abstract : Background To learn from incidents, it is imperative that people involved feel safe to share their complete unadulterated stories without fearing punishment. Recently, the Netherlands Public Prosecution Service has begun to offer general aviation pilots an alternative to prosecution. READ MORE

  6. 5. Prediction Models for TV Case Resolution Times with Machine Learning

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

    Author : Borja Javierre I Moyano; [2023]
    Keywords : Datasets; Machine Learning ML ; Prediction; Resolution Time RT ; Solve Time; TV Cases; Trouble Tickets TT ; Customer-Related Trouble Tickets Resolution Time; CRM system; BI system; Telecommunications; Dataset; Machine Learning ML ; Prediction; Resolution Time; Solve Time; TV Cases; Trouble Tickets TT ; Kundrelaterade problem Tickets Resolution tid; CRM-system; BI-system; Telekommunikationer.;

    Abstract : TV distribution and stream content delivery of video over the Internet, since is made up of complex networks including Content Delivery Networks (CDNs), cables and end-point user devices, that is very prone to issues appearing in different levels of the network ending up affecting the final customer’s TV services. When a problem affects the customer, and this prevents from having a proper TV delivery service in devices used for stream purposes, the issue is reported through a call, a TV case is opened and the company’s customer handling agents start supervising it to solve the problem as soon as possible. READ MORE