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Virtual reality for post-traumatic stress disorder treatment – Complete Phd and Masters Thesis

[ad_1] Introduction Virtual reality (VR) technology has shown great promise in the field of mental health treatment, particularly in the management of post-traumatic stress disorder (PTSD). PTSD is a mental health condition that can develop…

Secure multi-party computation for privacy-preserving data analysis in smart cities – Complete Phd and Masters Thesis

[ad_1] Thesis Overview: In recent years, the proliferation of smart cities has led to an abundance of data being generated from various sources such as sensors, mobile devices, and social media platforms. While this data…

Privacy-preserving federated learning for mobile health applications – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving federated learning has emerged as a promising approach to address the privacy concerns associated with sharing sensitive data in mobile health applications. With the increasing use of smartphones and wearable devices for…

Swarm robotics for search and rescue operations in disaster zones – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of swarm robotics for search and rescue operations in disaster zones has gained significant attention due to its potential to enhance the effectiveness of response efforts in such…

Explainable AI for algorithmic trading decisions – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the use of artificial intelligence (AI) in algorithmic trading has become increasingly popular in financial markets. AI algorithms have the ability to analyze vast amounts of data at speeds beyond…

Computer vision for automated visual inspection in manufacturing – Complete Phd and Masters Thesis

[ad_1] Introduction Computer vision has emerged as a cutting-edge technology that has revolutionized various industries, including manufacturing. Automated visual inspection (AVI) in manufacturing is a crucial process that ensures product quality, reduces defects, and increases…

Federated learning for privacy-preserving recommendation systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the increasing use of recommendation systems in various online platforms has raised concerns about user privacy. Traditional recommendation systems often require access to sensitive user data in order to provide…

Neuromorphic computing for robotics control – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is an emerging field that seeks to mimic the structure and function of the human brain in order to create more efficient and intelligent computing systems. This technology has the potential…

Privacy-preserving machine learning for healthcare analytics – Complete Phd and Masters Thesis

[ad_1] Introduction Advancements in machine learning and healthcare analytics have revolutionized the healthcare industry by providing valuable insights for personalized treatment, disease prediction, and patient management. However, the use of sensitive healthcare data for training…

Deep learning for satellite image analysis – Complete Phd and Masters Thesis

[ad_1] Introduction Deep learning has emerged as a powerful tool in the field of satellite image analysis due to its ability to automatically learn features from raw data without the need for manual feature engineering.…

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