Sökning: "security metrics"
Visar resultat 1 - 5 av 103 uppsatser innehållade orden security metrics.
1. Mutual Enhancement of Environment Recognition and Semantic Segmentation in Indoor Environment
Master-uppsats,Sammanfattning : Background:The dynamic field of computer vision and artificial intelligence has continually evolved, pushing the boundaries in areas like semantic segmentation andenvironmental recognition, pivotal for indoor scene analysis. This research investigates the integration of these two technologies, examining their synergy and implicayions for enhancing indoor scene understanding. LÄS MER
2. Classifying femur fractures using federated learning
Master-uppsats, Linköpings universitet/Statistik och maskininlärningSammanfattning : The rarity and subtle radiographic features of atypical femoral fractures (AFF) make it difficult to distinguish radiologically from normal femoral fractures (NFF). Compared with NFF, AFF has subtle radiological features and is associated with the long-term use of bisphosphonates for the treatment of osteoporosis. LÄS MER
3. Functional Programming Languages and the JVM : Comparing Functional Language Compilation Techniques for the JVM
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Because of its security, high availability, and automatic memory management, the JVM (Java Virtual Machine) is a desirable execution environment. However, since the JVM was originally made for Java, which is an objectoriented language, it is hard for languages with other paradigms to run on it. LÄS MER
4. Impact of fixed-rate fingerprinting defense on cloud gaming experience
Kandidat-uppsats, Linköpings universitet/Institutionen för datavetenskapSammanfattning : Cloud gaming has emerged as a popular solution to meet the increasing hardware de-mands of modern video games, allowing players with dated or non-sufficient hardwareto access high-quality gaming experiences. However, the growing reliance on cloud ser-vices has led to heightened concerns regarding user privacy and the risk of fingerprintingattacks. LÄS MER
5. A Novel Approach for Rice Plant Disease Detection, classification and localization using Deep Learning Techniques
Master-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. This Thesis addresses the critical issue of disease management in ricecrops, a key factor in ensuring both food security and the livelihoods of farmers. Objectives. LÄS MER