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Developing a deep learning-based system for image-based plant disease detection and diagnosis – Complete Phd and Masters Thesis

Developing a deep learning-based system for image-based plant disease detection and diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, there has been a growing interest in the application of deep learning techniques for image-based plant disease detection and diagnosis. This is primarily due to the potential of these methods…

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Developing a machine learning-based approach for network intrusion detection using deep packet inspection – Complete Phd and Masters Thesis

Developing a machine learning-based approach for network intrusion detection using deep packet inspection – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the rapid growth of network communications has led to an increasing demand for effective network security mechanisms. One of the key components of network security is intrusion detection, which aims…

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Investigating the use of blockchain technology for secure and transparent crowdfunding platforms – Complete Phd and Masters Thesis

Investigating the use of blockchain technology for secure and transparent crowdfunding platforms – Complete Phd and Masters Thesis

[ad_1] Introduction Crowdfunding has emerged as a popular alternative method for raising funds for various projects, causes, and startups. With the increasing popularity of crowdfunding, issues related to security, transparency, and accountability have become significant…

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Exploring the potential of augmented reality for remote expert assistance in field services – Complete Phd and Masters Thesis

Exploring the potential of augmented reality for remote expert assistance in field services – Complete Phd and Masters Thesis

[ad_1] Introduction Augmented reality (AR) has emerged as a cutting-edge technology that has the potential to revolutionize field services by providing remote expert assistance to technicians in the field. This thesis aims to explore the…

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Designing a privacy-preserving data aggregation scheme for participatory sensing systems – Complete Phd and Masters Thesis

Designing a privacy-preserving data aggregation scheme for participatory sensing systems – Complete Phd and Masters Thesis

[ad_1] Introduction: Privacy-preserving data aggregation is a critical issue in participatory sensing systems, where users collect and share data through mobile devices for various applications such as environmental monitoring, traffic management, and healthcare. Ensuring the…

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Investigating the use of big data analytics for fraud detection in the insurance industry – Complete Phd and Masters Thesis

Investigating the use of big data analytics for fraud detection in the insurance industry – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the insurance industry has been facing an increasing number of fraudulent activities which have a significant impact on the overall profitability of insurance companies. As a result, there is a…

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Developing a reinforcement learning-based approach for resource allocation in cloud data centers – Complete Phd and Masters Thesis

Developing a reinforcement learning-based approach for resource allocation in cloud data centers – Complete Phd and Masters Thesis

[ad_1] Introduction: Cloud data centers are becoming increasingly popular due to their scalability, flexibility, and cost-effectiveness. One of the key challenges faced by cloud data centers is efficiently allocating resources to meet the varying demands…

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Designing a secure and efficient key management scheme for smart grid communication networks – Complete Phd and Masters Thesis

Designing a secure and efficient key management scheme for smart grid communication networks – Complete Phd and Masters Thesis

[ad_1] Introduction Smart grid communication networks play a crucial role in modern power systems by enabling efficient communication and control of electricity distribution. With the increasing use of smart grid technologies, ensuring the security of…

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Developing a deep learning-based system for traffic sign recognition and interpretation – Complete Phd and Masters Thesis

Developing a deep learning-based system for traffic sign recognition and interpretation – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic sign recognition plays a critical role in ensuring road safety and traffic management. With the increasing number of vehicles on the road, there is a growing need for efficient and accurate systems…

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Designing a privacy-preserving data publishing framework for mobile health applications – Complete Phd and Masters Thesis

Designing a privacy-preserving data publishing framework for mobile health applications – Complete Phd and Masters Thesis

[ad_1] Introduction Mobile health applications have become increasingly popular in recent years, allowing users to track their fitness, nutrition, and overall health on-the-go. However, the use of these applications raises concerns about the privacy and…

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