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Building an AI system for product defect detection using computer vision – Complete Phd and Masters Thesis

Building an AI system for product defect detection using computer vision – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of artificial intelligence (AI) for product defect detection has gained significant attention in various industries. With the advancement of computer vision technology, AI systems have shown great potential…

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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 neural network model for time series forecasting – Complete Phd and Masters Thesis

Building a neural network model for time series forecasting – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of neural networks has gained popularity in various fields, including time series forecasting. Time series forecasting involves predicting future values based on past data, and neural networks have…

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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 a deep learning model for natural language inference – Complete Phd and Masters Thesis

Developing a deep learning model for natural language inference – Complete Phd and Masters Thesis

[ad_1] Introduction Natural language inference (NLI) is the task of determining whether a hypothesis can be inferred from a given premise. It is a fundamental problem in natural language processing (NLP) with applications in question-answering…

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Building an AI virtual agent for ecommerce – Complete Phd and Masters Thesis

Building an AI virtual agent for ecommerce – Complete Phd and Masters Thesis

[ad_1] Introduction Building an AI virtual agent for ecommerce has become increasingly popular in recent years as businesses strive to enhance customer experience and increase sales through the use of artificial intelligence technology. This thesis…

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Building a question answering chatbot for customer support – Complete Phd and Masters Thesis

Building a question answering chatbot for customer support – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s fast-paced business environment, providing efficient and effective customer support is crucial for maintaining customer satisfaction and loyalty. With the advancements in artificial intelligence and natural language processing technologies, chatbots have emerged…

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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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