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Showing result 11 - 15 of 175 essays matching the above criteria.

  1. 11. Rogue Drone Detection

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

    Author : Muiz Olalekan Raheem; [2023]
    Keywords : Rogue Drones; Machine Learning; Deep Learning; Radio Frequency; Deep Complex Convolutional Neural Network;

    Abstract : Rogue drones have become a significant concern in recent years due to their potential to cause harm to people and property and disrupt critical infrastructure and public safety. As a result, there has been a growing need for effective methods to detect and mitigate the risks posed by these drones. READ MORE

  3. 12. Data Augmentations for Improving Vision-Based Damage Detection : in Land Transport Infrastructure

    University essay from KTH/Lantmäteri – fastighetsvetenskap och geodesi

    Author : Punnawat Siripatthiti; [2023]
    Keywords : Computer Vision; Data Augmentation; Object Detection; Crack Detection; Road Damage Detection; Sleeper Defect Detection; datorseende; dataökning; objektdetektering; sprickdetektering; vägbeläggning; järnvägsslipers;

    Abstract : Crack, a typical term most people know, is a common form of distress or damage in road pavements and railway sleepers. It poses significant challenges to their structural integrity, safety, and longevity. Over the years, researchers have developed various data-driven technologies for image-based crack detection in road and sleeper applications. READ MORE

  4. 13. Improving Visibility Forecasts in Denmark Using Machine Learning Post-processing

    University essay from Uppsala universitet/Luft-, vatten- och landskapslära

    Author : August Thomasson; [2023]
    Keywords : visibility forecast; fog; machine learning; numerical weather predicition; XGBoost; Random Forest; siktprognos; dimma; maskininlärning; numerisk vädermodell; XGBoost; Random Forest;

    Abstract : Accurate fog prediction is an important task facing forecast centers since low visibility can affect anthropogenic systems, such as aviation. Therefore, this study investigates the use of Machine Learning classification algorithms for post-processing the output of the Danish Meteorological Institute’s operational Numerical Weather Prediction (NWP) model to improve visibility prediction. READ MORE

  5. 14. Generation of a metrical grid informed by Deep Learning-based beat estimation in jazz-ensemble recordings

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

    Author : Andres Alonso Toledo Carrera; [2023]
    Keywords : Beat tracking; Metrical grid; Jazz; Music Information Retrieval; Deep Learning; Temporal Convolutional Network; Beatuppskattning; Metriskt rutnät; Jazz; Music Informationshämting; Deep Learning; Temporal Convolutional Network;

    Abstract : This work uses a Deep Learning architecture, specifically a state-of-the-art Temporal Convolutional Network, to track the beat and downbeat positions in jazz-ensemble recordings to derive their metrical grid. This network architecture has been used successfully for general beat tracking purposes. READ MORE

  6. 15. An Ensemble of Difference: : Understanding(s) of Participant Experiences and Learning in a Heterogenous Adult Community Drama Class of First and Second Language Speakers in Sweden

    University essay from Stockholms universitet/Institutionen för pedagogik och didaktik

    Author : Julia Ouellette-Seymour; [2023]
    Keywords : Adult Education; Lifelong Learning; Drama in Education; Drama in L2; Applied Drama; Adult Learning Education; Applied Theatre; Language Learning; Community Drama; Non-formal Education; Migrant; Integration; Cultural Learning; Heterogenous Learning; SLA; Ethnographic Case Study; Vygotsky; Pragmatism;

    Abstract : This case study research aimed to explore, understand, and compare the experiences of individuals participating in a heterogeneous adult community drama class in Central Sweden. Drawing from classical pragmatism and employing a conceptual framework rooted in sociocultural theory, the study utilized semi-structured interviews, open-questionnaire responses, and participant observations to collect data which was analyzed through reflexive thematic analysis. READ MORE