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Computer vision for emotion recognition in human-robot interaction – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of human-robot interaction (HRI) has seen significant advancements, with robots being used in various applications such as healthcare, education, and entertainment. Emotion recognition plays a crucial role in…

Secure edge computing for industrial control systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the rapid advancement in technology has led to the integration of industrial control systems (ICS) with edge computing, which has the potential to revolutionize the way industrial processes are managed…

Deep reinforcement learning for adaptive traffic signal control – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic congestion is a major problem faced by urban areas worldwide, leading to wasted time, increased fuel consumption, and negative environmental impacts. Traditional traffic signal control systems are often static and unable to…

Privacy-preserving social network analysis for public health – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing popularity of social networking platforms, there is a growing interest in utilizing social network analysis for public health research. However, privacy concerns arise when analyzing sensitive health data on these…

Explainable AI for autonomous vehicle navigation decisions – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the development of autonomous vehicles has gained significant attention due to the potential benefits they offer in terms of safety, efficiency, and convenience. However, one of the key challenges in…

Quantum machine learning for protein structure prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum machine learning has emerged as a cutting-edge technology that combines the principles of quantum mechanics and machine learning algorithms to solve complex computational problems. In recent years, quantum machine learning has shown…

Edge computing for augmented reality in museums – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of augmented reality (AR) technology in museums has gained increasing popularity as a means of enhancing visitor engagement and learning experiences. However, the successful implementation of AR in…

Generative models for synthetic training data in computer vision – Complete Phd and Masters Thesis

[ad_1] Introduction Generative models for synthetic training data in computer vision have gained significant attention in recent years due to their ability to generate large amounts of realistic training data for various computer vision tasks.…

Homomorphic encryption for secure cloud-based machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, cloud-based machine learning has gained immense popularity due to its scalability, cost-effectiveness, and ease of access. However, the security and privacy of sensitive data during the machine learning process on…

Federated learning for collaborative anomaly detection in IoT networks – Complete Phd and Masters Thesis

[ad_1] Introduction: Federated learning is a decentralized machine learning approach that allows multiple parties to collaboratively build a global model without sharing their private data. This approach has gained significant attention in recent years due…

Tag: u of m computer science masters