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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…

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…

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…

Developing a reinforcement learning-based approach for intelligent traffic light control and coordination – Complete Phd and Masters Thesis

[ad_1] Introduction Traffic congestion is a major issue faced by urban areas worldwide, leading to increased travel times, fuel consumption, and pollution. Traditional fixed-time traffic light control systems have proven to be ineffective in managing…

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…

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…

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…

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…

Exploring the potential of augmented reality for interactive product packaging and branding – Complete Phd and Masters Thesis

[ad_1] Introduction In today’s digital age, the use of technology has revolutionized the way businesses interact with consumers. Augmented reality (AR) is one such technology that has gained popularity in recent years for its ability…

Developing a deep learning-based system for speech recognition in low-resource languages – Complete Phd and Masters Thesis

[ad_1] Introduction Developing a deep learning-based system for speech recognition in low-resource languages is a challenging yet crucial task in the field of natural language processing. Speech recognition technology has advanced significantly in recent years,…

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