Essays about: "TinyML"

Found 3 essays containing the word TinyML.

  1. 1. Evaluating Incremental Machine Learning for Smart Home Adaptation with Embedded Systems

    University essay from Malmö universitet/Institutionen för datavetenskap och medieteknik (DVMT)

    Author : Alban Islami; Nezar Sheikhi; [2023]
    Keywords : Machine learning; embedded systems; incremental learning; online learning; smart home;

    Abstract : The combination of machine learning on embedded systems has quickly increased throughout the years. Subsets like TinyML have become an integral part of how embedded systems implement machine learning. The field has evolved quickly, and TinyOL is an emerging subset that redefines what is possible with embedded systems. READ MORE

  3. 2. Wireless Beehive Monitoring : Using edge computing and TinyML to classify sounds

    University essay from Linnéuniversitetet/Institutionen för datavetenskap och medieteknik (DM)

    Author : Mattias Holmgren; Elias Holmér; [2022]
    Keywords : TinyML; beehives; honey bees; supervised machine learning; Internet of Things IoT ; power consumption optimization;

    Abstract : As an essential and indispensable contributor to pollinating the world's crops and plants, the honey bee is key to the sustainability of humans' and our ecosystems' continued survival. Following in the footsteps of the companies TietoEvry and Beelabs project, this report also works towards monitoring bees during their daily activities. READ MORE

  4. 3. Evaluating the Performance of Machine Learning on Weak IoT devices

    University essay from Mittuniversitetet/Institutionen för informationssystem och –teknologi

    Author : Ahmad Alhalbi; [2022]
    Keywords : TinyML; Microcontrollers; Tersorflow; IoT; Maskininlärning ML ; TinyML; Mikrocontrollers; Tersorflow; IoT; Maskininlärning ML ;

    Abstract : TinyML är ett snabb växande tvärvetenskapligt område i maskininlärning. Den fokuserar på att möjliggöra maskininlärnings algoritmer på inbyggda enheter (mikrokontroller) som arbetar vid lågt effektområde. Syftet med denna studie är att analysera hur bra TinyML kan är lösa typiska ML-uppgifter. READ MORE