Essays about: "importance of the study in computer science"
Showing result 1 - 5 of 11 essays containing the words importance of the study in computer science.
-
1. Improving echocardiogram view classification using diffusion models
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : In the field of medical science datasets are often highly imbalanced, where rare datapoints are of high importance. This study aims to explore the usage of synthetic datasets to improve the classification of echocardiogram views. READ MORE
-
2. Investigating Evacuation Factors on the KTH Computer Science Chapter Hall using 3D Cellular Automata
University essay from KTH/DatavetenskapAbstract : Aspects regarding safety is always a concern when designing buildings, especially in times of emergencies. Thus, evacuations of said buildings are of paramount importance. READ MORE
-
3. A Case Study of Critical System Heuristics in a Student Project Setting
University essay from Linköpings universitet/Programvara och systemAbstract : This thesis aims to study the use of Critical System Heuristic (CSH) in the requirements engineering (RE) process of a student software project. We have studied a software project within the framework of the TDDD96 course at Linköping University. READ MORE
-
4. Understanding Traffic Cruising Causation : Via Parking Data Enhancement
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : Background. Some computer scientists have recently pointed out that it may be more effective for the computer science community to focus more on data preparation for performance improvements, rather than exclusively comparing modeling techniques. READ MORE
-
5. Principal Component Analysis for STEM-EDS images: Optimal collection parameters
University essay from Lunds universitet/Centrum för analys och syntesAbstract : STEM-EDS is a common technique used for compositional mapping in materials. The vasts amounts of raw data produced by STEM EDS is suitable for advanced analysis using methods in unsupervised machine learning. One powerful method is Principal Component Analysis (PCA) which can automatically discover significant chemical correlations in a sample. READ MORE