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Investigating the use of big data analytics for customer behavior analysis in the banking industry – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the banking industry has been undergoing a significant transformation due to the advancements in technology and the widespread adoption of big data analytics. Big data analytics refers to the process…

Exploring the potential of quantum computing for optimization problems in network routing – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum computing is a rapidly emerging field that has the potential to revolutionize the way we solve complex optimization problems in various domains. One of the key areas where quantum computing shows promise…

Exploring the potential of augmented reality for interactive product assembly and maintenance instructions – Complete Phd and Masters Thesis

[ad_1] Introduction Augmented Reality (AR) has gained significant attention in recent years as a promising technology for enhancing interactive product assembly and maintenance instructions. By overlaying digital information onto the physical world, AR provides users…

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

[ad_1] Introduction Privacy preservation is a critical issue in the era of data-driven smart education systems, where vast amounts of sensitive information are collected and stored. As educational institutions increasingly rely on data analytics to…

Investigating the use of natural language processing for automated resume screening and ranking – Complete Phd and Masters Thesis

[ad_1] Introduction: In today’s digital age, the recruitment process has become increasingly automated with the use of technology such as applicant tracking systems (ATS). These systems are designed to scan and filter resumes based on…

Developing a machine learning-based approach for credit card fraud detection using anomaly detection – Complete Phd and Masters Thesis

[ad_1] Introduction Credit card fraud is a growing concern for financial institutions and consumers alike. With the rise of online transactions and digital payments, the risk of fraudulent activities has increased significantly. Traditional rule-based fraud…

Designing a secure and scalable architecture for multi-access edge computing (MEC) – Complete Phd and Masters Thesis

[ad_1] Introduction Multi-access edge computing (MEC) is a transformative technology that brings computing resources closer to end-users, enabling low-latency and high-bandwidth applications. As MEC systems become increasingly popular, the need for secure and scalable architectures…

Investigating the use of blockchain technology for secure and transparent supply chain management in the fashion industry – Complete Phd and Masters Thesis

[ad_1] Introduction The fashion industry is known for its complex and opaque supply chain, with issues such as counterfeit products, unethical labor practices, and environmental impact plaguing the industry. In recent years, there has been…

Developing a deep learning-based system for video-based human action recognition – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, the field of computer vision has seen significant advancements, particularly in the area of human action recognition. The ability to automatically recognize and classify human actions in videos has a…

Designing a privacy-preserving data mining framework for smart manufacturing systems – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, smart manufacturing systems have become increasingly popular due to their ability to improve efficiency and productivity in the manufacturing industry. These systems rely on the collection and analysis of large…

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