Sökning: "k-NN"

Visar resultat 6 - 10 av 44 uppsatser innehållade ordet k-NN.

1. 6. PV self-consumption: Regression models and data visualization

   Master-uppsats, KTH/Skolan för industriell teknik och management (ITM)

   Författare :Martos Tóth; [2022]
   Nyckelord :Self-Consumption; photovoltaics; battery; machine learning; solar energy; random forest; k-nearest neighbor; multi-layer perceptron; lasso regression; ridge regression; linear regression; Egenanvändning; photovoltaics; batteri; maskininlärning; solenergi; random forest; k-nearest neighbors; multi-layer perceptron; lasso regression; ridge regression; linjär regression;

   Sammanfattning : In Sweden the installed capacity of the residential PV systems is increasing every year. The lack of feed-in-tariff-scheme makes the techno-economic optimization of the PV systems mainly based on the self-consumption. The calculation of this parameter involves hourly building loads and hourly PV generation. LÄS MER

3. 7. Natural Fingerprinting of Steel

   Uppsats för yrkesexamina på avancerad nivå, Luleå tekniska universitet/Institutionen för system- och rymdteknik

   Författare :Johannes Strömbom; [2021]
   Nyckelord :fingerprinting; laser speckles; speckle correlation; scattering transform; wavelets; feature detection;

   Sammanfattning : A cornerstone in the industry's ongoing digital revolution, which is sometimes referred to as Industry 4.0, is the ability to trace products not only within the own production line but also throughout the remaining lifetime of the products. LÄS MER

4. 8. A deep learning based anomaly detection pipeline for battery fleets

   Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)

   Författare :Nabakumar Singh Khongbantabam; [2021]
   Nyckelord :Forklift batteries; Battery sensors; Data pipeline; Predictive maintenance; Anomaly detection; Deep learning; Battery failure prediction; Time-series; Variational autoencoder; Long short-term memory; LSTM; Gated recurrent unit; GRU; Isolation nearest neighbor; iNNE; Isolation forest; iForest; kth nearest neighbor; kNN.; Gaffeltruckbatterier; Batterisensorer; Datapipeline; Prediktivt underhåll; Avvikelsedetektering; Deep learning; Batterifelsprediktion; Tidsserier; Variationsautokodare; Långt korttidsminne; LSTM; Gated recurrent unit; GRU; Isolation närmaste granne; iNNE; Isolation skog; iForest; kth närmaste granne; kNN.;

   Sammanfattning : This thesis proposes a deep learning anomaly detection pipeline to detect possible anomalies during the operation of a fleet of batteries and presents its development and evaluation. The pipeline employs sensors that connect to each battery in the fleet to remotely collect real-time measurements of their operating characteristics, such as voltage, current, and temperature. LÄS MER

5. 9. Beam refinement and beam tracking using Machine Learning Techniques in 5G NR RAN

   Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskap

   Författare :Harshal Patel; [2021]
   Nyckelord :;

   Sammanfattning : Abstract: Growing needs of communication, demands a higher data transmission rate in 5G NR. In the 3rd generation partnership project (3GPP), frames are used to schedule the data to be transferred between the cellular base station (gNB) and user equipment (UE). LÄS MER

7. 10. Classification of COVID-19 Using Synthetic Minority Over-Sampling and Transfer Learning

   Master-uppsats, Uppsala universitet/Institutionen för informationsteknologi

   Författare :Christian Ormos; [2020]
   Nyckelord :transfer learning; AI; machine learning; image recognition; image augmentation; covid-19; VGG; MobileNet; InceptionV3; SMOTE; k-nn;

   Sammanfattning : The 2019 novel coronavirus has been proven to present several unique features on chest X-rays and CT-scans that distinguish it from imaging of other pulmonary diseases such as bacterial pneumonia and viral pneumonia unrelated to COVID-19. However, the key characteristics of a COVID-19 infection have been proven challenging to detect with the human eye. LÄS MER