[ad_1] Introduction Generative models for synthetic training data in computer vision have gained significant attention in recent years due to their ability to generate large amounts of realistic training data for various computer vision tasks.…
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[ad_1] Introduction: Traffic congestion has become a major issue in urban areas around the world, leading to increased travel times, fuel consumption, and air pollution. Traditional traffic management methods have proven to be ineffective in…
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[ad_1] Introduction Distributed ledger technologies (DLT) have revolutionized various industries by offering decentralized and secure ways of managing transactions. One of the industries that stand to benefit greatly from DLT is the insurance industry. Traditional…
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[ad_1] Introduction Automated software test case generation is a critical aspect of software development as it helps in identifying bugs and ensuring the reliability and functionality of the software. Traditional test case generation methods are…
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[ad_1] Introduction: Quantum computing has emerged as a promising technology that has the potential to revolutionize various industries, including finance. Portfolio optimization is a crucial aspect of financial decision-making that involves selecting the best combination…
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[ad_1] Introduction The use of drones in agriculture has gained significant attention in recent years due to their ability to capture high-resolution images of crops, monitor crop health, and assist in precision farming practices. Autonomous…
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[ad_1] Introduction The rise of blockchain technology has revolutionized various industries, including finance, healthcare, and supply chain management. One area where blockchain can have a significant impact is in the world of charitable donations. Traditional…
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[ad_1] Title: Deep Reinforcement Learning for Robotic Manipulation in Unstructured Environments 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…
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[ad_1] Introduction Privacy-preserving federated learning has emerged as a promising approach to address the privacy concerns associated with sharing sensitive data in mobile health applications. With the increasing use of smartphones and wearable devices for…
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[ad_1] Introduction In recent years, the use of swarm robotics for search and rescue operations in disaster zones has gained significant attention due to its potential to enhance the effectiveness of response efforts in such…
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