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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 an AI assistant for smart classrooms – Complete Phd and Masters Thesis

Developing an AI assistant for smart classrooms – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the integration of Artificial Intelligence (AI) technology in various fields has revolutionized the way tasks are performed, with significant improvements in efficiency and effectiveness. One area that has not fully…

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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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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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Building a seq2seq chatbot for bank loan services – Complete Phd and Masters Thesis

Building a seq2seq chatbot for bank loan services – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, chatbots have become increasingly popular in various industries as a means of providing customer service and support. With the advancements in natural language processing (NLP) and machine learning technologies, chatbots…

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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 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 collaborative filtering recommender system – Complete Phd and Masters Thesis

Building collaborative filtering recommender system – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the explosive growth of online platforms and e-commerce websites has created a vast amount of data that can be used to provide personalized recommendations to users. Collaborative filtering is a…

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