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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…

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…

Transfer learning for domain adaptation in natural language processing – Complete Phd and Masters Thesis

[ad_1] Introduction Transfer learning has emerged as a powerful tool in machine learning, allowing models trained on one task or domain to be adapted to new, related tasks or domains. In the field of natural…

Neuromorphic computing for intelligent sensor networks – Complete Phd and Masters Thesis

[ad_1] **Introduction** Neuromorphic computing is a cutting-edge technology that seeks to mimic the functionality of the human brain in electronic circuits. This has led to the development of intelligent sensor networks that can perform complex…

Distributed ledger technology for decentralized energy trading – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, decentralized energy trading has gained significant attention as a means to empower consumers and increase the efficiency of energy markets. Distributed ledger technology, such as blockchain, has emerged as a…

Reinforcement learning for personalized education – Complete Phd and Masters Thesis

[ad_1] Introduction Reinforcement learning is a machine learning technique that has gained significant attention in recent years for its ability to enable computer systems to learn and make decisions in complex environments. Personalized education has…

Explainable deep learning for medical diagnosis – Complete Phd and Masters Thesis

[ad_1] Introduction In recent years, deep learning technology has revolutionized the field of medical diagnosis by achieving high accuracy in detecting diseases from medical images and clinical data. However, one major drawback of deep learning…

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