[ad_1] Introduction Chapter 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…
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[ad_1] Introduction Algorithmic trading has revolutionized the financial industry by allowing traders to automate their strategies and make faster decisions in the volatile market. Deep reinforcement learning, a subfield of machine learning, has gained significant…
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[ad_1] Introduction As artificial intelligence (AI) continues to advance, the use of AI in robotics for decision-making is becoming more prevalent. However, one of the challenges that has emerged is the lack of transparency in…
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[ad_1] Introduction Quantum machine learning has emerged as a promising field that combines the principles of quantum physics with the power of machine learning algorithms to address complex problems in various domains. One such domain…
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[ad_1] Introduction Natural language processing (NLP) has gained significant popularity in recent years, with applications in various domains such as chatbots, sentiment analysis, and machine translation. One area that has seen growing interest is the…
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[ad_1] Introduction Computer vision for gesture recognition is a rapidly growing field with great potential for various applications such as human-computer interaction, sign language recognition, and virtual reality. This thesis aims to explore the use…
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[ad_1] Introduction: Generative adversarial networks (GANs) have emerged as a powerful tool for generating realistic synthetic data in various domains such as image, text, and audio synthesis. In recent years, there has been a growing…
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[ad_1] Introduction: Homomorphic encryption is a powerful cryptographic technique that allows computations to be performed on encrypted data without decrypting it first. This property makes it particularly suitable for applications where privacy and security are…
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[ad_1] Introduction: In recent years, there has been a growing interest in decentralized file storage systems due to their potential to address the limitations of traditional centralized storage solutions. Distributed systems offer a more efficient…
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[ad_1] Introduction: Natural language processing (NLP) is a field of study that focuses on the interaction between computers and human languages. With advancements in technology, NLP has become increasingly relevant in the field of mental…
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