[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…
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[ad_1] Introduction The integration of Artificial Intelligence (AI) into autonomous vehicles has revolutionized the automotive industry by providing advanced decision-making capabilities to enhance driver safety, efficiency, and convenience. However, the black-box nature of AI algorithms…
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[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…
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[ad_1] Introduction Swarm robotics has emerged as a promising approach for disaster response and recovery, leveraging the coordination and cooperation of multiple robots to accomplish complex tasks in dynamic and uncertain environments. The use of…
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[ad_1] Introduction Augmented reality (AR) technology has been gaining popularity in the fields of architecture and interior design for its ability to enhance visualization, communication, and collaboration in the design process. With the integration of…
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[ad_1] Introduction: Quantum sensing has emerged as a promising technology in the field of medical imaging, offering new ways to enhance the sensitivity and resolution of imaging techniques. By harnessing the principles of quantum mechanics,…
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[ad_1] Introduction The use of Artificial Intelligence (AI) in predictive analytics has revolutionized various industries, including supply chain management. AI-powered predictive analytics enables organizations to make data-driven decisions, anticipate future trends, and optimize their supply…
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[ad_1] Introduction In today’s digital age, the traditional methods of identity verification are becoming increasingly outdated and insecure. With the rise of cybercrime and data breaches, there is a growing need for more secure and…
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[ad_1] Introduction Robotic process automation (RPA) has revolutionized the way organizations automate repetitive tasks, allowing for greater efficiency and accuracy in various industries. However, traditional RPA systems rely on pre-programmed instructions which limit their adaptability…
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[ad_1] Introduction Quantum-inspired algorithms have gained significant attention in recent years due to their potential in solving complex problems more efficiently compared to traditional classical algorithms. These algorithms are inspired by principles of quantum mechanics…
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