[ad_1] Introduction In recent years, the concept of Digital Twin technology has gained significant attention in various industries, including urban development. By creating a virtual replica of physical assets and processes, Digital Twin technology allows…
Read More
[ad_1] Introduction As organizations increasingly rely on cloud services to store and process their data, the need for secure multi-cloud data backup and recovery solutions has become more critical than ever. The ability to securely…
Read More
[ad_1] Introduction In today’s digital age, cybersecurity threats are becoming increasingly sophisticated and difficult to detect using traditional methods. As a result, organizations are turning to Artificial Intelligence (AI) powered technologies to enhance their cybersecurity…
Read More
[ad_1] Introduction: Federated learning is a machine learning approach that enables training models across multiple decentralized edge devices while keeping data localized, thus preserving privacy. This technique has gained significant attention in recent years due…
Read More
[ad_1] Introduction Blockchain technology has revolutionized various industries with its decentralized and secure nature. One of the areas that have seen significant benefits from blockchain is micropayment systems for content creators. Content creators such as…
Read More
[ad_1] Introduction Generative Artificial Intelligence (AI) has revolutionized many industries, including entertainment and gaming. In recent years, there has been a growing interest in using Generative AI for personalized avatar creation. Avatars are digital representations…
Read More
[ad_1] **Introduction** Distributed ledger technology, commonly known as blockchain, has been gaining popularity in various sectors due to its ability to provide transparency, security, and efficiency in transactions. In recent years, governments around the world…
Read More
[ad_1] Introduction Reinforcement learning (RL) is a type of machine learning technique that allows an agent to learn how to make decisions through trial and error. By interacting with its environment, the agent receives feedback…
Read More
[ad_1] Title: Privacy-preserving machine learning in finance 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…
Read More
[ad_1] Introduction Federated learning is a novel machine learning approach that enables collaborative training of a global model across multiple decentralized edge devices, such as smartphones, tablets, and IoT devices. This paradigm shift in machine…
Read More