Sökning: "Input Method"
Visar resultat 1 - 5 av 1545 uppsatser innehållade orden Input Method.
1. Increasing Proactive Healthcare: An Automated Approach Within Screening Process For Breast Cancer
Master-uppsats, Umeå universitet/Institutionen för datavetenskapSammanfattning : Breast cancer is the most common cancer and 8 700 individuals in Sweden were diagnosed with breast cancer in 2021. Thanks to improved diagnostic methods and more effective treatment, nine out of ten women who develop breast cancer survive. LÄS MER
2. EVALUATING CRYSTAL FRAMEWORK IN PRACTICE
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Cyber-physical systems (CPSs) are used in several industries, such as healthcare, automotive, manufacturing, and more. The fact that CPSs often contain components integrated via communication networks means that malicious actors can exploit vulnerabilities in these components through cyber attacks. LÄS MER
3. Robustness Analysis of Perfusion Parameter Calculations
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : Cancer is one of the most common causes of death worldwide. When given optimal treatment, however, the risk of severe illness may greatly be reduced. Determining optimal treatment in turn requires evaluation of disease progression and response to potential, previous treatment. LÄS MER
4. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting
Master-uppsats, KTH/Väg- och spårfordon samt konceptuell fordonsdesignSammanfattning : In this paper, a statistical method is developed to improve predictive maintenance on railway track. The problem tackled is being able to predict when the next maintenance event should take place to guarantee a certain track quality class. LÄS MER
5. Android Malware Detection Using Machine Learning
Kandidat-uppsats, Blekinge Tekniska Högskola/Institutionen för datavetenskapSammanfattning : Background. The Android smartphone, with its wide range of uses and excellent performance, has attracted numerous users. Still, this domination of the Android platform also has motivated the attackers to develop malware. The traditional methodology which detects the malware based on the signature is unfit to discover unknown applications. LÄS MER