Sökning: "classifier chain"
Visar resultat 1 - 5 av 10 uppsatser innehållade orden classifier chain.
1. Predicting the Impact of Supply Chain Disruptions Using Statistical Analysis and Machine Learning
Master-uppsats, KTH/Matematisk statistikSammanfattning : 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. Automating Root Cause Analysis of Anomalies in Ericsson Wallet Platform using Machine Learning
Master-uppsats, Blekinge Tekniska HögskolaSammanfattning : 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. Machine Learning for Improving Detection of Cooling Complications : A case study
Master-uppsats, KTH/Industriell produktionSammanfattning : 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. FPGA implementation of an sEMG classifier
Master-uppsats, Lunds universitet/Avdelningen för Biomedicinsk teknikSammanfattning : 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. A Study on Data-driven Methods for Selection and Evaluation of Beam Subsets in 5G NR
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : 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