Sökning: "TinyML"

Hittade 3 avhandlingar innehållade ordet TinyML.

  1. 1. Adaptive and Resource-Efficient Systems for the Internet of Things

    Författare :Laura Harms; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; NATURVETENSKAP; NATURAL SCIENCES; Time-Synchronization; Routing; Opportunistic Routing; Industrial Internet of Things; Bluetooth Low Energy; Internet of Things; IEEE 802.15.4; TinyML; IIoT; TSCH; Centralized Scheduling; BLE; Time-Slotted Channel Hopping; IoT; Synchronous Transmissions;

    Sammanfattning : With the growing number of Internet of Things (IoT) devices and the emergence of the Industrial Internet of Things (IIoT), there is a growing demand for adaptive and resource-efficient wireless communication protocols and systems. Industrial networks play a crucial role in monitoring pipelines and facilitating communication among collaborating devices, such as robots in a smart factory. LÄS MER

  3. 2. Collaborative, Intelligent, and Adaptive Systems for the Low-Power Internet of Things

    Författare :Valentin Poirot; Chalmers tekniska högskola; []
    Nyckelord :TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; TEKNIK OCH TEKNOLOGIER; ENGINEERING AND TECHNOLOGY; Adaptive Networking; Bluetooth Low Energy; Consensus; Low-Power Wireless Networks; TinyML; IoT; Internet of Things; synchronous transmissions;

    Sammanfattning : With the emergence of the Internet of Things (IoT), more and more devices are getting equipped with communication capabilities, often via wireless radios. Their deployments pave the way for new and mission-critical applications: cars will communicate with nearby vehicles to coordinate at intersections; industrial wireless closed-loop systems will improve operational safety in factories; while swarms of drones will coordinate to plan collision-free trajectories. LÄS MER

  4. 3. Self-Reliance for the Internet of Things: Blockchains and Deep Learning on Low-Power IoT Devices

    Författare :Christos Profentzas; Chalmers tekniska högskola; []
    Nyckelord :NATURVETENSKAP; NATURAL SCIENCES; NATURVETENSKAP; NATURAL SCIENCES; Deep Neural Networks; Blockchain; Smart Contracts; Internet of Things; TinyML;

    Sammanfattning : The rise of the Internet of Things (IoT) has transformed common embedded devices from isolated objects to interconnected devices, allowing multiple applications for smart cities, smart logistics, and digital health, to name but a few. These Internet-enabled embedded devices have sensors and actuators interacting in the real world. LÄS MER