Essays about: "mobile clients"
Showing result 1 - 5 of 50 essays containing the words mobile clients.
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1. A Web Application for Wildfire Spread Prediction and Visualisation in Sweden Using Geospatial Data and Technology
University essay from KTH/GeoinformatikAbstract : Skogsbränder är kraftfulla naturfenomen kapabla att åstakomma omfattande skada över stora ytor och medföra omfattande kostnader för sammhället både humanitärt, ekonomiskt och miljömässigt. Det finns därför ett starkt incitament att övervaka och förutspå skogsbränders utveckling och spridning. READ MORE
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2. Supporting CKD Patients on Home Hemodialysis with Digital Information and Communication
University essay from KTH/Medicinteknik och hälsosystemAbstract : The lack of digital and easily accessible information for home hemodialysis patients leads to a disinclination of using the provided manuals. This problem could potentially be solved with a user-friendly app, where all information and communication with the healthcare providers could take place. READ MORE
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3. Web-Application for Tracking Exercise and Dietary Habits and Their Effect on Biometrics, with Integrated Coaching
University essay from Uppsala universitet/Institutionen för informationsteknologiAbstract : The use of mobile or web-applications in combination with different wearable devices to track biometric data such as heart rate and glucose levels has become increasingly common. However, using such applications with the aim of better understanding your health and understanding how biometric data is correlated to your health can be quite challenging. READ MORE
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4. A high-performance API for smart content-driven mobile applications
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : Nowadays, smartphones are one of the main mediums to transfer content to clients and they provide a good interface for the delivery of digital therapeutics (DTx). Application Programming Interfaces (APIs) are keystones for any service-based mobile application to manage the data transfer between the clients and the server(s). READ MORE
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5. Impact of model architecture and data distribution on self-supervised federated learning
University essay from Lunds universitet/Matematik LTHAbstract : Data is a crucial resource for machine learning. But in many settings, such as in healthcare or on mobile devices, there are obstacles that make it difficult to utilize the available data. This data is often distributed between many clients and private, meaning that central storage of the data is inadvisable. READ MORE