Sökning: "one-dimensional convolutional neural network"

Visar resultat 1 - 5 av 7 uppsatser innehållade orden one-dimensional convolutional neural network.

1. 1. Combining Cell Painting, Gene Expression and Structure-Activity Data for Mechanism of Action Prediction

   Master-uppsats, Uppsala universitet/Nationellt resurscentrum för biologi och bioteknik

   Författare :Erik Everett Palm; [2023]
   Nyckelord :bioinformatics; deep learning; machine learning; joint model; tabular data; image data;

   Sammanfattning : The rapid progress in high-throughput omics methods and high-resolution morphological profiling, coupled with the significant advances in machine learning (ML) and deep learning (DL), has opened new avenues for tackling the notoriously difficult problem of predicting the Mechanism of Action (MoA) for a drug of clinical interest. Understanding a drug's MoA can enrich our knowledge of its biological activity, shed light on potential side effects, and serve as a predictor of clinical success. LÄS MER

3. 2. Learning Based Road Estimation

   Master-uppsats, Lunds universitet/Matematik LTH

   Författare :Sanna Amirijoo; Karl Niwong; [2023]
   Nyckelord :Mathematics and Statistics;

   Sammanfattning : The interest in autonomous driving has vastly increased, leading to a surge in research and development efforts over the past decades. This technology could enhance road safety, alleviate traffic congestion, and yield numerous environmental and economic benefits. LÄS MER

4. 3. An Application of LatentCF++ on Providing Counterfactual Explanations for Fraud Detection

   Master-uppsats, Stockholms universitet/Institutionen för data- och systemvetenskap

   Författare :Maria-Sofia Giannopoulou; [2023]
   Nyckelord :counterfactuals; fraud detection; LatentCF ; autoencoder; one-dimensional convolutional neural network;

   Sammanfattning : The aim of explainable machine learning is to aid humans in understanding how exactly complex machine learning models work. Machine learning models have offered great performance in various areas. However, the mechanisms behind how the model works and how decisions are being made remain unknown. LÄS MER

5. 4. Driver Behavior Classification in Electric Vehicles

   Master-uppsats, Göteborgs universitet/Institutionen för data- och informationsteknik

   Författare :FEDERICA COMUNI; CHRISTOPHER MÉSZÁROS; [2021-07-06]
   Nyckelord :Aggressive driver behavior; Driver behavior classification; Self-attention; Recurrence plots; active learning; Active deep dropout; Gradual pseudo labeling;

   Sammanfattning : Studies have shown that driving style affects the energy consumption of electric vehicles, with aggressive driving consuming up to 30% more energy than moderate driving. Therefore, modeling of aggressive driving can provide a more precise estimation of the energy consumption and the remaining range of a vehicle. LÄS MER

7. 5. Investigation of Alternative Contactless Optical Surface Reconstruction Methods

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Eric Rostedt; Rickard Bolin; [2021]
   Nyckelord :Geometric transformation; Principal Component Analysis; Helmholtz equation; CNN based Encoder-Decoder; Technology and Engineering;

   Sammanfattning : Object and surface reconstruction in 3D is commonly used in production tolerance validation. Depending on the required level of accuracy, a multitude of different methods are available, each with their own advantages and disadvantages. LÄS MER