Sökning: "Christopher State"
Visar resultat 1 - 5 av 42 uppsatser innehållade orden Christopher State.
1. 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
2. Visualization and analysis of object states using diffusion models and PyTorch
Kandidat-uppsats, Mälardalens universitet/Akademin för innovation, design och teknikSammanfattning : Artificial Intelligence (AI) is an extremely rapidly growing field in modern technology. As the applications of AI expand, the ability to accurately analyze and predict the condition of various objects through various models has profound implications across numerous industries. LÄS MER
3. Exploring the Implementation of the Circular Economy in the Netherlands
Master-uppsats, Högskolan i Halmstad/Akademin för företagande, innovation och hållbarhetSammanfattning : The aim of this research is to explore the state of circular economy adoption and promotion in the Netherlands from the viewpoint of professionals in the field. This research is particularly relevant because the concept of a circular economy is booming all throughout the world, and the Netherlands represents one of the front runners in the application of related strategies. LÄS MER
4. Neuropsychiatric Symptoms in Alzheimer's Disease: Associations with Beta Amyloid and Potential New Cutoff Points on Neuropsychiatric Assessment Scales
Master-uppsats, Lunds universitet/Institutionen för psykologiSammanfattning : Neuropsychiatric Symptoms (NPS) have been shown to be associated with Alzheimer's disease ( AD). They negatively affect disease outcome and could play a future role in the detection of prospective AD cases. LÄS MER
5. Rotor temperature estimation in Induction Motors with Supervised Machine Learning
Master-uppsats, KTH/Skolan för elektroteknik och datavetenskap (EECS)Sammanfattning : The electrification of the automotive industry and artificial intelligence are both growing rapidly and can be greatly beneficial for a more sustainable future when combined. Induction machines exhibit many complex relationships between physical and electromagnetic properties that must be calculated in order to produce the correct quantities of torque and speed commanded by the driver. LÄS MER