Essays about: "data pre-processing framework"

Showing result 1 - 5 of 19 essays containing the words data pre-processing framework.

  1. 1. Implementing End-to-End MLOps for Enhanced Steel Production

    University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)

    Author : Marcus Westin; Jacob Berggren; [2024]
    Keywords : MLOps; Azure ML; Machine Learning; Computer Science; Microsoft Azure; MLOps; Azure ML; Maskininlärning; Datavetenskap; Microsoft Azure;

    Abstract : Steel production companies must utilize new technologies and innovations to stay ahead of a highly competitive market. Recently, there has been a focus on Industry 4.0, which involves the digitalization of production to integrate with newer technologies such as cloud solutions and the Internet of Things (IoT). READ MORE

  3. 2. Evaluation of a Predictive Maintenance Framework for Industrial Batch Processes : A Feasibility Study at Seco Tools AB

    University essay from Luleå tekniska universitet/Institutionen för ekonomi, teknik, konst och samhälle

    Author : Erik Olausson; [2023]
    Keywords : Predictive maintenance; Batch processes; Component health;

    Abstract : Predictive maintenance is a topic that has been researched and theorized for decades. With the advent of Industry 4.0 and greater technological capabilities in the form of advanced AI, the concept of predicting the need for maintenance in a system or its components is quickly becoming more of a reality for complex processes. READ MORE

  4. 3. Deep Multiple Description Coding for Semantic Communication : Theory and Practice

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

    Author : Martin Lindström; [2022]
    Keywords : Deep Learning; Split Computing; Multiple Description Coding; Semantic Communication; Internet of Things; Image Classification; Djupinlärning; distribuerade beräkningar; distribuerad kodning; semantisk kommunikation; sakernas internet; Internet of Things; bildklassificering;

    Abstract : With the era of wirelessly connected Internet of Things (IoT) devices on the horizon, eective data processing algorithms for IoT devices are of increasing importance. IoT devices often have limited power and computational resources, making data processing on the device unfeasible. READ MORE

  5. 4. Short-term Forecasting of EV Charging Stations Power Consumption at Distribution Scale

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

    Author : Milan Clerc; [2022]
    Keywords : Electric Vehicles; Electrical grid; Ancillary services; Time series; Gradient Boosted Trees; Recurrent Neural Networks; ARIMA.; Elbilar; Elnät; Tidsserie; Återkommande neurala nätverk; Maskininlärning.;

    Abstract : Due to the intermittent nature of renewable energy production, maintaining the stability of the power supply system is becoming a significant challenge of the energy transition. Besides, the penetration of Electric Vehicles (EVs) and the development of a large network of charging stations will inevitably increase the pressure on the electrical grid. READ MORE

  6. 5. Weed Detection in UAV Images of Cereal Crops with Instance Segmentation

    University essay from Luleå tekniska universitet/Institutionen för system- och rymdteknik

    Author : Arina Gromova; [2021]
    Keywords : computer vision; deep learning; CNN; mask R-CNN; weed detection;

    Abstract : Modern weeding is predominantly carried out by spraying whole fields with toxic pesticides, a process that accomplishes the main goal of eliminating weeds, but at a cost of the local environment. Weed management systems based on AI solutions enable more targeted actions, such as site-specific spraying, which is essential in reducing the need for chemicals. READ MORE