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Developing an AI system for drug discovery – Complete Phd and Masters Thesis

Developing an AI system for drug discovery – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of drug discovery has experienced a rapid evolution due to advancements in artificial intelligence (AI) technology. AI systems have shown great potential in accelerating the drug discovery process…

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Building a knowledge graph for semantic search – Complete Phd and Masters Thesis

Building a knowledge graph for semantic search – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s digital age, vast amounts of information are readily available online, making it increasingly difficult for users to find relevant and accurate information quickly. Traditional keyword-based search engines often return results that…

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Developing a question answering system using BERT models – Complete Phd and Masters Thesis

Developing a question answering system using BERT models – Complete Phd and Masters Thesis

[ad_1] Introduction Question Answering is a fundamental task in natural language processing that involves understanding a question posed in natural language and providing a correct answer based on the information available. Over the years, various…

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Developing a data compression technique for big data – Complete Phd and Masters Thesis

Developing a data compression technique for big data – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the amount of data generated by individuals, businesses, and organizations has grown exponentially, leading to the emergence of big data. Big data refers to datasets that are so large and…

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Building a predictive maintenance system for industry 4.0 – Complete Phd and Masters Thesis

Building a predictive maintenance system for industry 4.0 – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the concept of Industry 4.0 has gained significant attention due to its potential to revolutionize the manufacturing industry. One of the key aspects of Industry 4.0 is the use of…

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Developing an AI based virtual shopping assistant – Complete Phd and Masters Thesis

Developing an AI based virtual shopping assistant – Complete Phd and Masters Thesis

[ad_1] Introduction As technology continues to advance at a rapid pace, the retail industry is continuously evolving to meet the needs and demands of consumers. One of the latest trends in retail technology is the…

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Building a handwritten digit recognition system using CNNs – Complete Phd and Masters Thesis

Building a handwritten digit recognition system using CNNs – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of Convolutional Neural Networks (CNNs) has become increasingly popular in the field of image recognition. One particular application of CNNs is in handwritten digit recognition systems, where the…

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Building a malware detection system using deep learning – Complete Phd and Masters Thesis

Building a malware detection system using deep learning – Complete Phd and Masters Thesis

[ad_1] Introduction Cybersecurity threats have become increasingly sophisticated in recent years, with malware being one of the most prevalent forms of attack. Traditional signature-based methods of detecting malware are no longer sufficient to protect against…

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Developing an autonomous vehicle simulation – Complete Phd and Masters Thesis

Developing an autonomous vehicle simulation – Complete Phd and Masters Thesis

[ad_1] Introduction 1.1 Introduction 1.2 Background of Study 1.3 Problem Statement 1.4 Objective of Study 1.5 Limitation of Study 1.6 Scope of Study 1.7 Significance of Study 1.8 Structure of the Thesis 1.9 Definition of…

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Building a machine translation system using sequence to sequence neural networks – Complete Phd and Masters Thesis

Building a machine translation system using sequence to sequence neural networks – Complete Phd and Masters Thesis

[ad_1] Introduction: Machine translation has become an essential tool in breaking down language barriers and facilitating communication between individuals who speak different languages. In recent years, neural network-based approaches, particularly sequence to sequence models, have…

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