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Showing result 1 - 5 of 22 essays matching the above criteria.

  1. 1. Heart rate estimation from wrist-PPG signals in activity by deep learning methods

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

    Author : Marie-Ange Stefanos; [2023]
    Keywords : Deep Learning; Medical Data; Signal Processing; Heart Rate Estimation; Wrist Photoplethysmography; Djup lärning; Medicinska Data; Signalbehandling; Pulsuppskattning; Handledsfotopletysmograf;

    Abstract : In the context of health improving, the measurement of vital parameters such as heart rate (HR) can provide solutions for health monitoring, prevention and screening for certain chronic diseases. Among the different technologies for HR measuring, photoplethysmography (PPG) technique embedded in smart watches is the most commonly used in the field of consumer electronics since it is comfortable and does not require any user intervention. READ MORE

  3. 2. Defect intention : the specific challenges faced by women in open source that may predict (or influence) their intention to leave an open source software project/community

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Ivanna Altena; Georgi A. Markov; [2022]
    Keywords : Diversity; Equity; and Inclusion; Open source; Open source software; Women in Open Source; Defect intention; Intention to leave; Multiple regression.;

    Abstract : Background Open source is largely accepted as an important innovation driver in the technology industry. Even though inclusion and diversity is beneficial for the success of technology projects (including open source software projects), many statistics are pointing out that diversity in open source is even worse than in the technology sector in general. READ MORE

  4. 3. Data Segmentation Using NLP: Gender and Age

    University essay from Uppsala universitet/Avdelningen för datalogi

    Author : Gustav Demmelmaier; Carl Westerberg; [2021]
    Keywords : Natural language processing; NLP; sentiment analysis; machine learning; demographics; demographic factors; gender; age; ethics;

    Abstract : Natural language processing (NLP) opens the possibilities for a computer to read, decipher, and interpret human languages to eventually use it in ways that enable yet further understanding of the interaction and communication between the human and the computer. When appropriate data is available, NLP makes it possible to determine not only the sentiment information of a text but also information about the author behind an online post. READ MORE

  5. 4. Analysis of traveler’s behaviorusing electric scooters based on surveys

    University essay from KTH/Transportplanering

    Author : Taha Ali; [2021]
    Keywords : Micro mobility; E-scooters; Travel Behavior; Analysis of travel behavior; Travel parameters; Transport policy; Mikromobilitet; E-skotrar; Resebeteende; Analys av resebeteende; Reseparametrar; Transportpolitik;

    Abstract : In this study, travel behavior for the users of E-scooter is analyzed based on survey questions. The main purpose of the study is to understand the nature of E-scooters users and their preferences as well as analyzing their trip parameters. The survey was designed to cover most ofthe behavioral influential factors. READ MORE

  6. 5. Key factors influencing Electric Vehicles adoption : A multidimensional meta-analysis

    University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

    Author : Valerian Geny; [2021]
    Keywords : ;

    Abstract : Background: Over the past decade, the market for Electric Vehicles (EV) has grown from almost inexistent in 2010 to over three million vehicles sold in 2020. This market, which was for a long time considered as niche, is now quickly becoming mainstream. READ MORE