Sökning: "Feature Models"

Visar resultat 11 - 15 av 650 uppsatser innehållade orden Feature Models.

1. 11. Restaurant Daily Revenue Prediction : Utilizing Synthetic Time Series Data for Improved Model Performance

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Avdelningen för beräkningsvetenskap

   Författare :Stella Jarlöv; Anton Svensson Dahl; [2023]
   Nyckelord :demand forecasting; data augmentation; time series data; machine learning; restaurant industry; generative adversarial networks; TimeGAN; XGBoost;

   Sammanfattning : This study aims to enhance the accuracy of a demand forecasting model, XGBoost, by incorporating synthetic multivariate restaurant time series data during the training process. The research addresses the limited availability of training data by generating synthetic data using TimeGAN, a generative adversarial deep neural network tailored for time series data. LÄS MER

3. 12. Instance segmentation using 2.5D data

   Master-uppsats, Linköpings universitet/Institutionen för systemteknik

   Författare :Jonathan Öhrling; [2023]
   Nyckelord :instance segmentation; multi-modality; segmentation; multi-modality fusion; CNN; RGBD; ToF; Mask R-CNN; RTMDet; MMDetection; COCO; NYUDepth;

   Sammanfattning : Multi-modality fusion is an area of research that has shown promising results in the domain of 2D and 3D object detection. However, multi-modality fusion methods have largely not been utilized in the domain of instance segmentation. LÄS MER

4. 13. Preserving Privacy in Cloud Services by Using an Explainable Deep-Learning Model for Anomaly Detection

   Master-uppsats, Linköpings universitet/Institutionen för datavetenskap

   Författare :Shiwei Dong; [2023]
   Nyckelord :;

   Sammanfattning : As cloud services become increasingly popular, ensuring their privacy and security has become a significant concern for users. Cloud computing involves Data Service Outsourcing and Computation Outsourcing, which require additional security considerations compared to traditional computing. LÄS MER

5. 14. Unsupervised Online Anomaly Detection in Multivariate Time-Series

   Uppsats för yrkesexamina på avancerad nivå, Uppsala universitet/Datorteknik

   Författare :Ludvig Segerholm; [2023]
   Nyckelord :unsupervised; online; anomaly detection; explainable ai; machine learning; mahalanobis distance;

   Sammanfattning : This research aims to identify a method for unsupervised online anomaly detection in multivariate time series in dynamic systems in general and on the case study of Devwards IoT-system in particular. A requirement of the solution is its explainability, online learning and low computational expense. LÄS MER

7. 15. Robust Statistical Jump Models with Feature Selection

   Master-uppsats, Lunds universitet/Matematisk statistik

   Författare :Jonatan Persson; [2023]
   Nyckelord :Clustering; Jump; Feature selection; Robust; Mathematics and Statistics;

   Sammanfattning : A large area in statistics and machine learning is cluster analysis. This field of research concerns the design of algorithms that allow computers to automatically categorize a set of observations into different groups in a reasonable way, without any prior information about which observations belongs to which group. LÄS MER