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Viitteet 31418-31437 / 290010

    • Dedicated Server Infrastructure Transformation to AWS Cloud In Lean Organisation 

      Pyy, Harri (Haaga-Helia ammattikorkeakoulu, 2017)
      The thesis tries to solve whether in the Schibsted Media Group (Tori.fi) it is possible to give up hosting dedicated servers and move the services Amazon's cloud using Amazon Web Services components. The starting point of ...
    • Deep Heat, studie av jordvärme från djupborrning som kopplas till fjärrvärmenätet 

      Lindqvist, Dennis (Yrkeshögskolan Arcada, 2016)
      I detta arbete förklaras vad Deep Heat är och arbetet fördjupar sig i vad som ingår samt krävs för att få ett 5-8 km djupt borrhål, tiden det tar för att borra sådana sträckor och vem som har utrustning för det. Valet av ...
    • Deep in the Cold (3D) : interactive video installation adaptation of a photobook 

      Kuivila, Juuso (Tampereen ammattikorkeakoulu, 2018)
      This thesis explores the issues and solutions in the development of an interactive video work based on a photobook. Different software and hardware solutions was considered with the focus on their functional and semantic ...
    • Deep learning 

      Kawalya, Davis (2022)
      This thesis builds upon work carried out by the author of this thesis recently on deep learning to build a computer vision deep learning pipeline using Generative Adversarial Networks (GANs). For much of the work, agile ...
      Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad
    • Deep learning approach in food detection : An application for nutrition tracking 

      Loc, Hoang (2021)
      Tracking food intake can give insights into eating habits, hence it is useful to confront the rising public health threat of obesity and overweight. Because of high pace of modern life, people usually do not have time for ...
    • Deep Learning EEG-based Motor Imagery System for Robot Control using 3D Printed Headset and Electrodes 

      Gonzalez Visiedo, Carlos (2023)
      This thesis describes the design and implementation of an EEG-based motor imagery system for robot control using a 3D printed headset and electrodes. The primary aim was to create a more comfortable and user-friendly EEG ...
    • Deep Learning for Micro-Expression Recognition: A Survey 

      Li, Yante; Wei, Jinsheng; Liu, Yang; Kauttonen, Janne; Zhao, Guoying
      IEEE transactions on affective computing : 4 (Institute of Electrical and Electronics Engineers Computer Sociery, 2022)
      Micro-expressions (MEs) are involuntary facial movements revealing people's hidden feelings in high-stake situations and have practical importance in various fields. Early methods for Micro-expression Recognition (MER) are ...
    • Deep Learning for Toxic Comment Detection in Online Platforms 

      Kikani, Dhruval (2023)
      This research aimed to explore the use of Deep Learning Artificial Neural Networks (ANNs) for toxic comment classification on social media and online forums. The prevalence of toxic interactions on these platforms has ...
    • Deep Learning Models for Cross-Lingual Short-Text Matching 

      Jansson, Patrick; Liu, Shuhua
      Arcada Working Papers (Yrkeshögskolan Arcada, 2018)
      Short-text matching is a fundamental task in many important NLP applications such as question answering, machine translation and conversational assistants. The CIKM2018 AnalytiCup takes on the challenge of language adaptation ...
    • Deep Learning-based Table Detection in Documents 

      Kovalova, Andrea (2023)
      Extracting content from tables in documents was identified as problematic, especially in the cases of tables without clear borders. The proposed solution was to apply document layout analysis, particularly using the ...
    • Deep linking in mobile Unity game 

      Kuitunen, Jeremias (Jyväskylän ammattikorkeakoulu, 2017)
      The goal of the thesis was to develop a deep linking solution and deploy it in a mobile game called Big Bang Racing prior to its launch in July 2016. In Big Bang Racing, deep linking capabilities allow users to share ...
    • Deep Reinforcement Learning Implementation for Vessel Stability Calculations 

      Szynalewski, Mateusz Zdzislaw (2024)
      This paper focused on combining ships stability calculations with deep reinforcement learning methods. For the sake of this thesis the author developed a proof of concept software that not only enables users to solve tasks ...
    • DEEP SEA -KONTTIEN TERMINAALIKÄSITTELY 

      Nurmela, Suvi (Kymenlaakson ammattikorkeakoulu, 2013)
      UPM Seaways käy varustamoiden kanssa tenderöinnin eli hinnoitteluprosessin läpi kerran kolmessa vuodessa. Tenderöinnin tarkoituksena on hinnoitella paperirullien konttikuljetukset Rauman ja Kotkan satamista asiakkaan ...
    • Deep understanding for a customer journey in a multi-provider network 

      Lepistö, Maarit (Laurea-ammattikorkeakoulu, 2016)
      Companies in different industries are increasingly interested in having their customers act as ambassadors for their services. Recommendations by customers have become new “currency” that companies desire. The basis for ...
    • Deep understanding of a customer journey map at pm2am Student Trips 

      Kolkka, Roosa (2019)
      The objective of the thesis was to visually understand the overall customer experience through a customer journey map and to build, based on a customer satisfaction survey, a customer journey map for pm2am Student Trips ...
      Rajattu käyttöoikeus / Restricted access / Tillgången är begränsad
    • DeepCleanTech project: Optimization and Management of Chemical and Microbiological Processes (2018-2020) – Research Report 

      Janhunen, Maarit; Antikainen, Eero; Reijonen, Tero; Torvinen, Olli; Kuhmonen, Tero; Sonninen, Jari
      Savonia-ammattikorkeakoulun julkaisusarja (Savonia-ammattikorkeakoulu, 2020)
    • Deepening the dimension : TUAS papers from the second CARPE networking conference in Manchester on 4-6 November 2013 

      Lehto, Anttoni; Turun ammattikorkeakoulu
      Turun ammattikorkeakoulun puheenvuoroja : 82 (Turun ammattikorkeakoulu, 2014)
      This electronic publication collects together the papers submitted by the staff of Turku University of Applied Sciences (TUAS) for the second CARPE networking conference. CARPE (short for Consortium on Applied Research and ...
    • Deeper & Steeper : Johdatus solistiseen bassoklarinettimusiikkiin 

      Anttila, Maija (Tampereen ammattikorkeakoulu, 2015)
      Opinnäytetyöni käsittelee solistista bassoklarinettimusiikkia. Aiheen taustalla ovat omat bassoklarinettiopintoni, joiden kautta olen herännyt näkemään, kuinka paljon ilmaisullisia mahdollisuuksia bassoklarinetti tarjoaa, ...
    • Deeper Than The CUT : FGM/C After Decades of Advocacy in The Gambia 

      Dibba, Siaka K.; Barrow, Abbie K.S (Diakonia-ammattikorkeakoulu, 2015)
      Dibba, Siaka K. and Barrow, Abbie K.S FGM/C After Decades of Advocacy in The Gambia: A Product Thesis. 28p, 6 appendices. Language: English. Helsinki, Autumn 2015. Diaconia University of Applied Sciences, Degree Programme ...
    • Deepfake consumer reviews in tourism: Preliminary findings 

      Tuomi, Aarni (Elsevier, 2021)
      Highlights • Deepfake text is increasingly difficult to distinguish from human-authored text. • Computer-generated consumer reviews will have a high impact for tourism management. • Deepfake reviews resemble other ...