Sökning: "Benign"
Visar resultat 16 - 20 av 159 uppsatser innehållade ordet Benign.
16. Att vara en viktig vuxen i en anonym miljö : En kvalitativ studie av bibliotekariers upplevelser av att ha arbetat med en digital boktipstjänst med biblioterapeutiska inslag för unga
Kandidat-uppsats, Högskolan i Borås/Akademin för bibliotek, information, pedagogik och ITSammanfattning : The purpose of the thesis is to gain in-depth knowledge of how a digital reading and writing promotion library service for young people is experienced and described by the participating librarians. More specifically, to investigate the link between the service and bibliotherapy, as well as the librarians' view of communication via the service. LÄS MER
17. Puzzle-based Clogging DoS-resilient Vehicular Communications
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : In Vehicular Communication Systems (VCSs), authenticated safety beacons are used to deliver the vehicles’ status and provide necessary information for the applications. However, high rate safety beacons impose high processing overhead on the resource-constrained vehicular On-Board Units (OBUs). LÄS MER
18. Data Trustworthiness Assessment for Traffic Condition Participatory Sensing Scenario
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Participatory Sensing (PS) is a common mode of data collection where valuable data is gathered from many contributors, each providing data from the user’s or the device’s surroundings via a mobile device, such as a smartphone. This has the advantage of cost-efficiency and wide-scale data collection. LÄS MER
19. Supply chain attacks in open source projects
Master-uppsats, Lunds universitet/Institutionen för elektro- och informationsteknikSammanfattning : The space of open source supply chain attacks is ever evolving and growing. There is extensive previous work identifying and collecting open source supply chain attacks, as well as identifying patterns in these attacks and proving that machine learning models may be able to detect these patterns. LÄS MER
20. Risk Stratification of Acute Coronary Syndrome using Machine Learning : An analysis of CLEOS-CPDS data
Kandidat-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Chest pain is one of the most common complaints amongst patients seeking urgent medical care at hospitals. Chest pain can be a symptom of serious cardiovascular disease such as acute coronary syndrome (ACS), however, most underlying causes are benign. Risk stratification in early stages of medical evaluation is difficult. LÄS MER