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Developing a deep learning-based system for video-based crowd counting and density estimation – Complete Phd and Masters Thesis

Developing a deep learning-based system for video-based crowd counting and density estimation – Complete Phd and Masters Thesis

[ad_1] Introduction Nowadays, crowd counting and density estimation have become essential tasks in various fields such as security, marketing, and urban planning. Traditional methods for crowd counting and density estimation rely on manual counting or…

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Exploring the potential of augmented reality for interactive museum exhibits and guided tours – Complete Phd and Masters Thesis

Exploring the potential of augmented reality for interactive museum exhibits and guided tours – Complete Phd and Masters Thesis

[ad_1] Introduction Museums have long been considered as spaces for preserving culture, history, and knowledge, allowing visitors to engage with artifacts and exhibits in a tangible and immersive manner. With the advancement of technology, museums…

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Designing a privacy-preserving data mining framework for smart transportation systems using federated learning – Complete Phd and Masters Thesis

Designing a privacy-preserving data mining framework for smart transportation systems using federated learning – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, smart transportation systems have become increasingly popular due to advancements in technology and the need for more efficient and sustainable transportation solutions. These systems rely on the collection and analysis…

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Investigating the use of big data analytics for predictive analytics in the manufacturing industry – Complete Phd and Masters Thesis

Investigating the use of big data analytics for predictive analytics in the manufacturing industry – Complete Phd and Masters Thesis

[ad_1] Introduction The manufacturing industry is constantly evolving with technological advancements, automation, and digitalization playing a significant role in improving operational efficiency and productivity. One of the latest trends in the manufacturing industry is the…

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Designing a secure and efficient authentication protocol for IoT devices using software-defined networking (SDN) – Complete Phd and Masters Thesis

Designing a secure and efficient authentication protocol for IoT devices using software-defined networking (SDN) – Complete Phd and Masters Thesis

[ad_1] Introduction The rapid growth of the Internet of Things (IoT) industry has led to an increasing demand for secure and efficient authentication protocols for IoT devices. Traditional authentication mechanisms are no longer sufficient to…

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Investigating the use of blockchain technology for secure and transparent digital identity management in healthcare – Complete Phd and Masters Thesis

Investigating the use of blockchain technology for secure and transparent digital identity management in healthcare – Complete Phd and Masters Thesis

[ad_1] Introduction The advancement of technology has transformed the healthcare industry in numerous ways, from electronic health records to telemedicine. However, with the increasing digitization of patient data, the issue of secure and transparent digital…

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Designing a privacy-preserving data publishing framework for smart energy management systems – Complete Phd and Masters Thesis

Designing a privacy-preserving data publishing framework for smart energy management systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, smart energy management systems have become more prevalent in our society due to the increasing demand for efficient energy usage and sustainability. These systems rely on the collection and analysis…

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Investigating the use of natural language processing for automated document classification and archiving – Complete Phd and Masters Thesis

Investigating the use of natural language processing for automated document classification and archiving – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s digital age, the amount of data being generated and stored is increasing at an exponential rate. With this vast amount of information, the need for automated document classification and archiving has…

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Developing a machine learning-based approach for network traffic prediction and optimization – Complete Phd and Masters Thesis

Developing a machine learning-based approach for network traffic prediction and optimization – Complete Phd and Masters Thesis

[ad_1] Introduction Network traffic prediction and optimization are crucial for ensuring the efficiency and reliability of communication networks. With the rapid growth of internet traffic and the increasing demand for high-performance networks, traditional methods of…

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Designing a secure and scalable architecture for cloud-based gaming platforms using edge computing – Complete Phd and Masters Thesis

Designing a secure and scalable architecture for cloud-based gaming platforms using edge computing – Complete Phd and Masters Thesis

[ad_1] Introduction: Cloud-based gaming platforms have gained popularity in recent years due to their ability to provide high-quality gaming experiences to users without the need for expensive hardware. However, these platforms often face challenges related…

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