[ad_1] Introduction In today’s information-driven world, the ability to effectively search and retrieve relevant information is crucial for businesses to stay competitive and make informed decisions. Enterprise search is a technology that enables organizations to…
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[ad_1] Introduction The Internet of Robotic Things (IoRT) is a rapidly emerging technology that combines the power of robotic systems with the connectivity of the Internet to create intelligent and autonomous systems. In the context…
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[ad_1] Introduction: Hybrid Cloud Orchestration and Management have become increasingly essential in the modern era of computing. With the rapid advancement of technology and the increasing reliance on cloud computing for various business operations, the…
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[ad_1] Introduction Graph Neural Networks (GNNs) have shown promising results in various fields such as social network analysis, drug discovery, and recommendation systems. In recommendation systems, GNNs have been increasingly used to leverage the rich…
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[ad_1] Introduction Federated Learning is a novel approach to training machine learning models that allows multiple parties to collaborate and share information without actually sharing their data. This collaborative technique has gained significant attention in…
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[ad_1] Introduction In today’s data-driven world, organizations are faced with the challenge of managing and analyzing vast amounts of data to extract valuable insights and drive strategic decision-making. The rise of Big Data has necessitated…
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[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…
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[ad_1] Introduction: Quantum Cryptography and Post-Quantum Cryptography are two significant areas in the field of cryptography that have gained increasing attention in recent years. Quantum Cryptography utilizes principles of quantum mechanics to provide secure communication…
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[ad_1] Introduction: Privacy-Preserving Federated Learning has emerged as a promising approach for healthcare analytics, allowing multiple healthcare institutions to collaboratively train machine learning models without sharing sensitive patient data. This thesis aims to explore the…
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[ad_1] Introduction: Natural Language Generation (NLG) is a field of artificial intelligence that focuses on the generation of human-like text from structured data. NLG is increasingly being used in various applications, including automated content creation,…
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