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Computer vision for sign language translation – Complete Phd and Masters Thesis

Computer vision for sign language translation – Complete Phd and Masters Thesis

[ad_1] Introduction Sign language is a vital form of communication for individuals who are deaf or hard of hearing. However, the ability to understand and communicate in sign language is not universal, leading to barriers…

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AI-driven software requirements prioritization – Complete Phd and Masters Thesis

AI-driven software requirements prioritization – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s fast-paced software development industry, prioritizing requirements is crucial to ensure successful project outcomes. However, traditional methods of requirements prioritization can be time-consuming, subjective, and error-prone. With the advancements in Artificial Intelligence…

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

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.…

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

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…

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

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…

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Augmented reality for immersive museum experiences – Complete Phd and Masters Thesis

Augmented reality for immersive museum experiences – Complete Phd and Masters Thesis

[ad_1] Introduction Augmented reality (AR) has become an increasingly popular technology in recent years, offering new and innovative ways for users to interact with their surroundings. In particular, AR has the potential to enhance museum…

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Neuromorphic computing for real-time speech translation – Complete Phd and Masters Thesis

Neuromorphic computing for real-time speech translation – Complete Phd and Masters Thesis

[ad_1] Introduction: In recent years, the development of artificial intelligence (AI) and machine learning algorithms has significantly improved the capabilities of various systems, including speech recognition and translation. However, traditional computing architectures can struggle to…

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Swarm intelligence for traffic congestion reduction – Complete Phd and Masters Thesis

Swarm intelligence for traffic congestion reduction – Complete Phd and Masters Thesis

[ad_1] Introduction: Traffic congestion has become a major issue in urban areas around the world, leading to increased travel times, fuel consumption, and air pollution. Traditional traffic management methods have proven to be ineffective in…

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Distributed ledger technologies for decentralized insurance – Complete Phd and Masters Thesis

Distributed ledger technologies for decentralized insurance – Complete Phd and Masters Thesis

[ad_1] Introduction Distributed ledger technologies (DLT) have revolutionized various industries by offering decentralized and secure ways of managing transactions. One of the industries that stand to benefit greatly from DLT is the insurance industry. Traditional…

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Deep learning for early detection of plant diseases – Complete Phd and Masters Thesis

Deep learning for early detection of plant diseases – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of deep learning has gained significant attention for its potential applications in various domains, including agriculture. Plant diseases pose a significant threat to global food security, leading to…

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