Sökning: "classifier chain"

Visar resultat 1 - 5 av 10 uppsatser innehållade orden classifier chain.

  1. 1. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning

    Master-uppsats, KTH/Matematisk statistik

    Författare :Hannes Andersson; John Sjöberg; [2023]
    Nyckelord :Supply chain disruption; SMOTE; feature engineering; machine learning; random forest; statistics; applied mathematics; Störning i försörjningskedja; maskininlärning; matematik; statistik;

    Sammanfattning : The dairy business is vulnerable to supply chain disruptions since large safety stocks to cover up losses are not always a viable option, therefore it is crucial to maintain a smooth supply chain to ensure stable delivery accuracies. Disruptions are unpredictable and hard to avoid in the supply chain, especially in cases where production errors cause lost production volume. LÄS MER

  2. 2. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning

    Master-uppsats, Blekinge Tekniska Högskola

    Författare :Simron Padhi; Devi Priya Battina; [2023]
    Nyckelord :Anomaly detection; Isolation forest algorithm; K-means algorithm; Local Outlier Factor algorithm; One class Support Vector Machine;

    Sammanfattning : Background: In this era of mobile wallet platforms, to ensure key requirements like high availability and performance, the company must have mechanisms in place to detect anomalies at any given point in time. Ericsson Wallet Platform(EWP), a mobile wallet platform, is facing the problem of manually analyzing all the logs and reports and taking comprehensive action decisions accordingly. LÄS MER

  3. 3. Machine Learning for Improving Detection of Cooling Complications : A case study

    Master-uppsats, KTH/Industriell produktion

    Författare :William Bruksås Nybjörk; [2022]
    Nyckelord :Temperature controllable containers; Machine Learning; imbalanced data; data analysis; noisy labels; feature engineering; threshold tuning;

    Sammanfattning : The growing market for cold chain pharmaceuticals requires reliable and flexible logistics solutions that ensure the quality of the drugs. These pharmaceuticals must maintain cool to retain the function and effect. Therefore, it is of greatest concern to keep these drugs within the specified temperature interval. LÄS MER

  4. 4. FPGA implementation of an sEMG classifier

    Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknik

    Författare :William Marnfeldt; [2022]
    Nyckelord :electromyography; convolutional neural networks; classifier; field programmable gate array; prosthetic hand; Technology and Engineering;

    Sammanfattning : This master’s thesis discusses the implementation of a convolutional neural network on a Field Programmable Gate Array (FPGA). It deals with implementation be describing a tool chain, starting with the designing of a model in Keras, transforming the model to Hardware Descriptive Language, and finally implementing it on an FPGA. LÄS MER

  5. 5. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR

    Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

    Författare :Nic Ekman; Ilias Theodoros Skordas; [2022]
    Nyckelord :5G; NR; telecom; telecommunications; ML; machine learning; algorithms; beam; widebeam; propagation; beamforming; subset; RAN; radio; radio environment; ericsson; Technology and Engineering;

    Sammanfattning : 5G New Radio is the next generation of mobile networks and it comes with promises of ultra-high speeds, ultra-high reliability and ultra-low latency. This has posed a challenge for the engineers entrusted with the task of finding solutions which could fulfil the specification, and as a result, some promising areas have received increased attention in recent years. LÄS MER