Essays about: "Automatic network monitoring"

Showing result 1 - 5 of 21 essays containing the words Automatic network monitoring.

1. 1. Evaluating Process Mining Techniques on PACS Command Usage Data : Exploring common process mining techniques and evaluating their applicability on PACS event log data for domain-specific workflow analysis

   University essay from Linköpings universitet/Institutionen för datavetenskap

   Author : Axel Ekblom; Jacob Karlén; [2023]
   Keywords : process mining; workflow mining; data mining; radiology; PACS;

   Abstract : Many software companies today collect command usage data by monitoring and logging user interactions within their applications. This is not always utilised to its full potential, but with the use of state-of-the-art process mining techniques, this command usage log data can be used to gain insights about the users' workflows. READ MORE

3. 2. How to Estimate Local Performance using Machine learning Engineering (HELP ME) : from log files to support guidance

   University essay from Linköpings universitet/Artificiell intelligens och integrerade datorsystem

   Author : Hugo Ekinge; [2023]
   Keywords : Machine learning; GRU; 1D-CNN; Transformer; log analysis; parameter estimation; regression; performance monitoring; deep learning; troubleshooting; support; Maskininlärning; GRU; 1D-CNN; Transformer; logganalys; parameteruppskattning; regression; prestandaövervakning; djupinlärning; felsökning; support;

   Abstract : As modern systems are becoming increasingly complex, they are also becoming more and more cumbersome to diagnose and fix when things go wrong. One domain where it is very important for machinery and equipment to stay functional is in the world of medical IT, where technology is used to improve healthcare for people all over the world. READ MORE

4. 3. TransRUnet: 2D Detection and Segmentation of Lymphoma Lesions in Full-Body PET-CT Images

   University essay from KTH/Medicinteknik och hälsosystem

   Author : Lasse Stahnke; [2023]
   Keywords : Lymphoma; PET-CT; Deep Learning; CNN; Retina U-Net; Feature Pyramid Transformer; Detection; Segmentation; Lymfom; PET-CT; djupinlärning; CNN; Retina U-Net; Feature Pyramid Transformer; detektion; segmentering;

   Abstract : Identification and localization of FDG-avid lymphoma lesions in PET-CT image volumes is of high importance for the diagnosis and monitoring of treatment progress in lymphoma patients. This process is tedious, time-consuming, and error-prone, due to large image volumes and the heterogeneity of lesions. READ MORE

5. 4. An Empirical Study on AI Workflow Automation for Positioning

   University essay from Linköpings universitet/Programvara och system

   Author : Hannes Jämtner; Stefan Brynielsson; [2022]
   Keywords : MLOps; ML; AI; Machine Learning; Artificial Intelligence; Radio Antenna Positioning; MLOps Maturity Levels; Radio Access Network; RAN; Kubeflow; KServe; DVC; Data Version Control; MinIO; Kubernetes; Kind; Docker;

   Abstract : The maturing capabilities of Artificial Intelligence (AI) and Machine Learning (ML) have resulted in increased attention in research and development on adopting AI and ML in 5G and future networks. With the increased maturity, the usage of AI/ML models in production is becoming more widespread, and maintaining these systems is more complex and likely to incur technical debt when compared to standard software. READ MORE

6. 5. Automated Open Source Software Assessment and Monitoring : Through practitioners’ lens

   University essay from Blekinge Tekniska Högskola/Institutionen för programvaruteknik

   Author : Sai Pranav Koyyada; Denim Deshmukh; [2021]
   Keywords : OSS assessments; OSS monitoring; OSS adoption; OSS assessment attributes;

   Abstract : Background: Developing and maintaining software is resource expensive. Therefore many organizations and practitioners use Open Source Software(OSS) in commercial development to minimize resource expense. But, adopting OSS mandates the organizations and practitioners to assess and monitor the OSS for updates from the community. READ MORE