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Edge AI for autonomous retail checkout systems – Complete Phd and Masters Thesis

Edge AI for autonomous retail checkout systems – Complete Phd and Masters Thesis

[ad_1] Introduction With the advancement of technology, the retail industry is undergoing a major transformation, particularly in the area of checkout systems. Traditional checkout processes often lead to long queues, inefficiencies, and errors in pricing.…

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Adversarial attacks on voice recognition systems – Complete Phd and Masters Thesis

Adversarial attacks on voice recognition systems – Complete Phd and Masters Thesis

[ad_1] Introduction: Voice recognition systems have become increasingly popular in recent years, with applications ranging from virtual assistants to security access controls. However, these systems are not immune to attacks, particularly adversarial attacks that aim…

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Emotion AI for personalized entertainment recommendations – Complete Phd and Masters Thesis

Emotion AI for personalized entertainment recommendations – Complete Phd and Masters Thesis

[ad_1] Introduction Emotion AI, also known as affective computing, is a rapidly growing field that aims to understand and respond to human emotions. In recent years, Emotion AI has gained significant attention in various industries,…

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AI-driven network capacity planning and optimization – Complete Phd and Masters Thesis

AI-driven network capacity planning and optimization – Complete Phd and Masters Thesis

[ad_1] Introduction The rapid growth and evolution of network technologies have presented numerous challenges for network operators in ensuring optimal capacity planning and network optimization. With the increasing demand for high-speed data transmission, low latency,…

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Explainable AI for automated stock trading systems – Complete Phd and Masters Thesis

Explainable AI for automated stock trading systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the use of Artificial Intelligence (AI) in automated stock trading systems has gained popularity due to its potential to enhance decision-making processes and increase profitability in the financial markets. However,…

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Privacy-preserving deep learning using secure multi-party computation – Complete Phd and Masters Thesis

Privacy-preserving deep learning using secure multi-party computation – Complete Phd and Masters Thesis

[ad_1] **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 1.9…

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Augmented reality for enhanced classroom learning experiences – Complete Phd and Masters Thesis

Augmented reality for enhanced classroom learning experiences – Complete Phd and Masters Thesis

[ad_1] Introduction Augmented reality (AR) is a technology that overlays digital information onto the real world environment, creating an immersive and interactive experience for users. In recent years, AR has gained significant traction in various…

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Blockchain-based decentralized ride-sharing platform – Complete Phd and Masters Thesis

Blockchain-based decentralized ride-sharing platform – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the emergence of blockchain technology has revolutionized various industries, offering immutable and transparent decentralized solutions for a wide range of applications. One such application is the ride-sharing industry, where blockchain-based…

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Automated software dependency management using AI – Complete Phd and Masters Thesis

Automated software dependency management using AI – Complete Phd and Masters Thesis

[ad_1] Introduction Software development has become increasingly complex with the rise of interconnected systems and the use of multiple dependencies. Managing these dependencies manually can be time-consuming, error-prone, and challenging to keep track of. Automated…

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Neuromorphic computing for energy-efficient edge devices – Complete Phd and Masters Thesis

Neuromorphic computing for energy-efficient edge devices – Complete Phd and Masters Thesis

[ad_1] Introduction Neuromorphic computing is an emerging field that aims to mimic the structure and functionality of the human brain using electronic systems. The potential of neuromorphic computing lies in its ability to efficiently process…

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