Essays about: "uncertainty network"

Showing result 16 - 20 of 174 essays containing the words uncertainty network.

1. 16. Dataset Drift in Radar Warning Receivers : Out-of-Distribution Detection for Radar Emitter Classification using an RNN-based Deep Ensemble

   University essay from Uppsala universitet/Avdelningen för systemteknik

   Author : Kevin Coleman; [2023]
   Keywords : Radar Emitter Classification; Pulse Descriptor Word; Out of Distribution Detection; Dataset Drift; Uncertainty Estimation; Deep Ensembles; Recurrent Neural Networks; LSTM;

   Abstract : Changes to the signal environment of a radar warning receiver (RWR) over time through dataset drift can negatively affect a machine learning (ML) model, deployed for radar emitter classification (REC). The training data comes from a simulator at Saab AB, in the form of pulsed radar in a time-series. READ MORE

3. 17. The influence of institutional factors on the effectiveness of global product launch

   University essay from Blekinge Tekniska Högskola/Institutionen för industriell ekonomi

   Author : Diego Daniel Vargas Carmona; Mohamed Kamil Morsi Mahmod; [2023]
   Keywords : global product launch; institutional factors; panel regression analysis;

   Abstract : In today’s fast-changing markets, many international firms invest a significant amount of money in terms of marketing and technology to launch their products globally. To reduce such costs, a better understanding of the factors that affect the performance of global products launch is needed. READ MORE

4. 18. The effect of model calibration on noisy label detection

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

   Author : Max Joel Söderberg; [2023]
   Keywords : Area Under the Margin; Calibration; Image classification; Label smoothing; Noisy labels; Overconfidence; Area under marginalen; Kalibrering; Bildklassificering; Etikettutjämning; Brusiga etiketter; Övertro;

   Abstract : The advances in deep neural networks in recent years have opened up the possibility of using image classification as a valuable tool in various areas, such as medical diagnosis from x-ray images. However, training deep neural networks requires large amounts of annotated data which has to be labelled manually, by a person. READ MORE

5. 19. Exploring the Factors Influencing the Facilitation of Collaboration through Industry 4.0 in Reverse Logistics : An exploratory multiple case study

   University essay from Jönköping University/IHH, Företagsekonomi

   Author : Isidoor Hehanussa; Twan van den Heuvel; [2023]
   Keywords : Industry 4.0; Collaboration; Reverse logistics; Relationship-based; General perception; Collaborative network 4.0;

   Abstract : Background: Although reverse logistics becomes more important nowadays to reach organisation goals, organisations are still plagued by data uncertainty and low supply chain visibility. In an attempt to remove those barriers to reach an effective reverse logistics operation, organisations have started to integrate industry 4. READ MORE

6. 20. LDPC DropConnect

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

   Author : Xi Chen; [2023]
   Keywords : Bayesian approach; Machine learning; Coding theory; Measurement uncertainty; Algorithms; Bayesiansk metod; Maskininlärning; Kodningsteori; Mätosäkerhet; Algoritmer;

   Abstract : Machine learning is a popular topic that has become a scientific research tool in many fields. Overfitting is a common challenge in machine learning, where the model fits the training data too well and performs poorly on new data. READ MORE