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Explainable deep learning for financial forecasting – Complete Phd and Masters Thesis

[ad_1] Introduction Deep learning has gained significant attention in recent years due to its ability to effectively model complex relationships in data and make accurate predictions. In the field of finance, deep learning has shown…

Federated transfer learning for cross-device federated learning – Complete Phd and Masters Thesis

[ad_1] Introduction In the era of big data and connected devices, federated learning has emerged as a promising approach to collaborative machine learning without compromising data privacy. Federated transfer learning extends the concept of federated…

Quantum machine learning for quantum error correction – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum computing is a rapidly evolving field that has the potential to revolutionize the way we process and analyze data. Quantum machine learning is an emerging area of research that combines principles of…

Decentralized social networks using blockchain – Complete Phd and Masters Thesis

[ad_1] Introduction Decentralization has been a hot topic in recent years, with many industries exploring ways to shift away from centralized systems towards more distributed and transparent alternatives. This shift has also been seen in…

Multi-modal learning for emotion recognition – Complete Phd and Masters Thesis

[ad_1] Introduction Emotion recognition is a crucial aspect of human interaction and communication. Being able to accurately identify and understand the emotions of others can lead to better relationships and more effective communication. In recent…

Interpretable machine learning for credit risk assessment – Complete Phd and Masters Thesis

[ad_1] Introduction With the advancements in technology, machine learning algorithms are being used in various industries, including financial services. One of the key applications of machine learning in finance is credit risk assessment, where algorithms…

Differential privacy for privacy-preserving machine learning – Complete Phd and Masters Thesis

[ad_1] Introduction Privacy-preserving machine learning has become a critical research area in the era of big data and artificial intelligence. As organizations collect and analyze vast amounts of sensitive data for various purposes, the need…

Quantum error correction for quantum sensing – Complete Phd and Masters Thesis

[ad_1] Introduction Quantum error correction (QEC) is a vital aspect of quantum computing and quantum sensing technologies. As quantum systems are extremely susceptible to errors caused by environmental noise and decoherence, the development of efficient…

Zero-shot learning for cross-modal retrieval – Complete Phd and Masters Thesis

[ad_1] Introduction 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…

Federated reinforcement learning for intelligent transportation systems – Complete Phd and Masters Thesis

[ad_1] Introduction With the rapid advancement of technology, intelligent transportation systems (ITS) have become a crucial component in optimizing traffic flow, reducing congestion, and improving overall transportation efficiency. Traditional reinforcement learning algorithms have been used…

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