Essays about: "Privacy development"
Showing result 1 - 5 of 214 essays containing the words Privacy development.
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1. Measuring the Utility of Synthetic Data : An Empirical Evaluation of Population Fidelity Measures as Indicators of Synthetic Data Utility in Classification Tasks
University essay from Karlstads universitet/Institutionen för matematik och datavetenskap (from 2013)Abstract : In the era of data-driven decision-making and innovation, synthetic data serves as a promising tool that bridges the need for vast datasets in machine learning (ML) and the imperative necessity of data privacy. By simulating real-world data while preserving privacy, synthetic data generators have become more prevalent instruments in AI and ML development. READ MORE
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2. Development of a System Dynamic Model of Mental Healthcare Structure in Stockholm
University essay from KTH/Medicinteknik och hälsosystemAbstract : Mental illnesses are the leading cause of disability in the world today, affecting nearly a billion people including 14% of the world’s adolescents. Mental illnesses include both psychiatric conditions and inconveniences and is a broad term to describe multiple different conditions in varying severity. READ MORE
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3. GDPR Compliance in EU-US Data Transfers - Examining the impact of the EU Commission’s 2023 adequacy decision on surveillance risks
University essay from Lunds universitet/Institutionen för handelsrättAbstract : International data transfers serve to support the global economy, facilitating international collaboration and economic expansion. However this increased productivity comes at a cost, namely amplified personal data privacy and security risks. READ MORE
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4. Digital Twins for Verification and Validation of CPS
University essay from Göteborgs universitet/Institutionen för data- och informationsteknikAbstract : This paper proposes standardizing the usage and practices of Digital Twins (DTs) for the seamless digital-tophysical transition of Cyber-Physical Systems (CPS) to assure their safety. It recommends adopting Artificial Intelligence (AI) methods and following Requirements Engineering principles (RE) for strong Verification and Validation (V&V) processes. READ MORE
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5. Navigating the Risks of Dark Data : An Investigation into Personal Safety
University essay from Linnéuniversitetet/Institutionen för informatik (IK)Abstract : With the exponential proliferation of data, there has been a surge in data generation fromdiverse sources, including social media platforms, websites, mobile devices, and sensors.However, not all data is readily visible or accessible to the public, leading to the emergence ofthe concept known as "dark data. READ MORE