Sökning: "comparable method"

Visar resultat 41 - 45 av 594 uppsatser innehållade orden comparable method.

1. 41. A General Purpose Near Data Processing Architecture Optimized for Data-intensive Applications

   Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknik

   Författare :Xingda Li; Haidi Hu; [2023]
   Nyckelord :Technology and Engineering;

   Sammanfattning : In recent years, as Internet of Things (IoT) and machine learning technologies have advanced, there has been increasing interest in the study of energy-efficient and flexible architectures for embedded systems. To bridge the performance gap between microprocessors and memory systems, Near-Data Processing (NDP) was introduced. LÄS MER

3. 42. Semi-Automatic ImageAnnotation Tool

   Master-uppsats, Linköpings universitet/Reglerteknik

   Författare :Miranda Alvenkrona; Tilda Hylander; [2023]
   Nyckelord :annotation; machine learning; annotation tool; image annotation; object detection; selective annotation; re-training;

   Sammanfattning : Annotation is essential in machine learning. Building an accurate object detec-tion model requires a large, diverse dataset, which poses challenges due to thetime-consuming nature of manual annotation. This thesis was made in collabora-tion with Project Ngulia, which aims at developing technical solutions to protectand monitor wild animals. LÄS MER

4. 43. Framtagning av jämförande mät- och analysmetod för att studera komfort i barnvagnar : Ett arbete om hur komfort med avseende på vibrationerkan mätas och analyseras komparativt

   Uppsats för yrkesexamina på grundnivå, Uppsala universitet/Industriell teknik

   Författare :Mikael Törn; Noah Påhlsson; [2023]
   Nyckelord :Barnvagn; ISO-2631:1; ISO-10326:1; komfort; vibration; mätning; dataanalys; RMS; AMV;

   Sammanfattning : This study seeks to take a closer look at how to create a reliable and repeatable method for comparative measurement and analysis of comfort regarding vibrations in strollers.To achieve this goal the study has been divided in three questions that focuses on established standards and previous studies, a construction of a measurement method and finally a construction of a data analysis method. LÄS MER

5. 44. Enhancing Neural Network Accuracy on Long-Tailed Datasets through Curriculum Learning and Data Sorting

   Master-uppsats, KTH/Matematik (Avd.)

   Författare :Daniel Barreira; [2023]
   Nyckelord :Machine Learning; Neural Network; CORAL-framework; Long-Tailed Data; Imbalance Metrics; Teacher-Student models; Curriculum Learning; Training Scheme; Maskininlärning; Neuralt Nätverk; CORAL-ramverk; Long-Tailed Data; Imbalance Metrics; Teacher-Student modeler; Curriculum Learning; Tränings- scheman;

   Sammanfattning : In this paper, a study is conducted to investigate the use of Curriculum Learning as an approach to address accuracy issues in a neural network caused by training on a Long-Tailed dataset. The thesis problem is presented by a Swedish e-commerce company. LÄS MER

7. 45. Evaluating Marketing Initiatives using Explainable Machine Learning : An Alternative to Attribution Models

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

   Författare :João Ferreira; [2023]
   Nyckelord :Explainable Machine Learning; Attribution models; Marketing Automation; Search Engine Optimization; A B testing; Definierad maskininlärning; Attributionsmodeller; Automatisering av marknadsföring; Optimering av sökmotor; A B-tester;

   Sammanfattning : Since its inception, Marketing has always needed more clearly defined incrementality, i.e., a measurement of advertisement effectiveness. Nowadays, Marketing is an evergrowing business; within it, Digital Marketing is taking the spotlight. LÄS MER