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Federated learning for privacy-preserving sentiment analysis on distributed user data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, sentiment analysis has gained significant importance in the field of natural language processing, as it allows for the understanding of opinions, attitudes, and emotions expressed in text data. However, the…

Neuromorphic computing for energy-efficient AI in edge devices – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing has emerged as a promising approach for implementing energy-efficient artificial intelligence (AI) algorithms on edge devices. These devices, such as smartphones, IoT devices, and drones, are typically limited in resources and…

Deep learning for real-time translation of sign language – Complete Phd and Masters Thesis

[ad_1] Introduction Sign language is a critical means of communication for individuals with hearing impairments, enabling them to express their thoughts, feelings, and desires through hand gestures, facial expressions, and body movements. However, understanding and…

Quantum algorithms for drug discovery and development – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of drug discovery and development has witnessed a paradigm shift with the introduction of quantum computing. Quantum algorithms offer the potential to revolutionize the way we search for…

Virtual reality for cognitive rehabilitation – Complete Phd and Masters Thesis

[ad_1] Introduction: Virtual reality (VR) technology has garnered significant attention in recent years for its potential applications in the field of cognitive rehabilitation. Cognitive rehabilitation is a therapeutic approach aimed at restoring or enhancing cognitive…

Explainable AI for medical diagnosis in radiology – Complete Phd and Masters Thesis

[ad_1] Introduction Advancements in artificial intelligence (AI) have revolutionized various industries, including healthcare. AI technologies have shown great potential in enhancing medical diagnosis, particularly in the field of radiology. With the increasing complexity of medical…

Quantum machine learning for climate change prediction – Complete Phd and Masters Thesis

[ad_1] Introduction Climate change is one of the most pressing challenges facing humanity today, with far-reaching implications for the environment, economy, and society as a whole. Predicting and adapting to the impacts of climate change…

Federated learning for privacy-preserving health monitoring – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a significant increase in the use of wearable devices and mobile applications for health monitoring. These devices and apps collect a vast amount of personal health data,…

Privacy-preserving federated learning for financial fraud detection – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving federated learning is a promising approach for financial fraud detection, as it allows multiple institutions to collaboratively train machine learning models without sharing sensitive data. In the financial industry, where maintaining data…

Swarm intelligence for collaborative space exploration – Complete Phd and Masters Thesis

[ad_1] Introduction Swarm intelligence is a field of study that draws inspiration from the collective behavior of organisms in nature, such as ants, bees, and birds, to develop algorithms and techniques for solving complex optimization…

Tag: 5 year master’s program computer science