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Developing deep learning models on mobile devices – Complete Phd and Masters Thesis

Developing deep learning models on mobile devices – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing popularity of mobile devices, the demand for powerful and efficient deep learning models that can run on these devices has also been on the rise. Mobile devices such as smartphones…

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Building a content-based recommendation system for movies – Complete Phd and Masters Thesis

Building a content-based recommendation system for movies – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the explosion of digital content and the rise of online streaming platforms have led to an overwhelming amount of choices for consumers. This has created the need for recommendation systems…

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Developing a music recommendation engine using collaborative filtering – Complete Phd and Masters Thesis

Developing a music recommendation engine using collaborative filtering – Complete Phd and Masters Thesis

[ad_1] Introduction In the age of digital music streaming, music recommendation engines have become an integral part of the user experience. These engines help users discover new music based on their preferences, listening history, and…

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Building a neural machine translation model for English-Spanish – Complete Phd and Masters Thesis

Building a neural machine translation model for English-Spanish – Complete Phd and Masters Thesis

[ad_1] Introduction Neural machine translation has revolutionized the field of language translation in recent years, offering more accurate and fluent translations compared to traditional statistical machine translation models. As the demand for high-quality translation services…

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Developing AI algorithms for resource scheduling in cloud – Complete Phd and Masters Thesis

Developing AI algorithms for resource scheduling in cloud – Complete Phd and Masters Thesis

[ad_1] Introduction: The rapid growth of cloud computing has revolutionized the way businesses manage and utilize their resources. With the increasing demand for efficient resource scheduling in cloud environments, there is a pressing need for…

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Developing an AI based food recommendation system – Complete Phd and Masters Thesis

Developing an AI based food recommendation system – Complete Phd and Masters Thesis

[ad_1] Introduction As technology continues to advance, there is an increasing demand for personalized services in various sectors, including the food industry. With the rise of artificial intelligence (AI) technology, it has become possible to…

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Building an AI system for cyber threat detection – Complete Phd and Masters Thesis

Building an AI system for cyber threat detection – Complete Phd and Masters Thesis

[ad_1] Introduction With the increasing reliance on digital technologies in our daily lives, the threat of cyber attacks has become a significant concern for individuals and organizations alike. Cyber threats can range from simple phishing…

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Developing a self-driving vehicle simulator – Complete Phd and Masters Thesis

Developing a self-driving vehicle simulator – Complete Phd and Masters Thesis

[ad_1] **Thesis Overview: Developing a Self-Driving Vehicle Simulator** In recent years, there has been a significant increase in research and development of self-driving vehicles. These autonomous vehicles have the potential to revolutionize the transportation industry…

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Developing a deepfakes detection model – Complete Phd and Masters Thesis

Developing a deepfakes detection model – Complete Phd and Masters Thesis

[ad_1] Introduction Deepfakes have become a growing concern in recent years, with advancements in artificial intelligence and machine learning enabling the creation of highly realistic fake videos and images. These can be used for malicious…

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Building a deep generative model using VAE – Complete Phd and Masters Thesis

Building a deep generative model using VAE – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep generative models have gained significant attention in the field of machine learning and artificial intelligence. One of the most popular deep generative models is the Variational Autoencoder (VAE), which…

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