Advanced search
Showing result 1 - 5 of 1242 essays matching the above criteria.
-
1. Increasing Proactive Healthcare: An Automated Approach Within Screening Process For Breast Cancer
University essay from Umeå universitet/Institutionen för datavetenskapAbstract : 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. READ MORE
-
2. EVALUATING CRYSTAL FRAMEWORK IN PRACTICE
University essay from Mälardalens universitet/Akademin för innovation, design och teknikAbstract : 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. READ MORE
-
3. Robustness Analysis of Perfusion Parameter Calculations
University essay from KTH/Skolan för elektroteknik och datavetenskap (EECS)Abstract : 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. READ MORE
-
4. Data analytics and machine learning for railway track degradation: Using Bothnia Line track measurements for maintenance forecasting
University essay from KTH/Väg- och spårfordon samt konceptuell fordonsdesignAbstract : 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. READ MORE
-
5. Android Malware Detection Using Machine Learning
University essay from Blekinge Tekniska Högskola/Institutionen för datavetenskapAbstract : 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. READ MORE