[ad_1] Introduction Quantum machine learning has emerged as a powerful tool in addressing complex optimization problems in various fields, including logistics and supply chain management. Traditional optimization algorithms often struggle to handle the vast amount…
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[ad_1] Introduction Neuromorphic computing has emerged as a promising approach for implementing energy-efficient artificial intelligence (AI) algorithms on edge devices. These devices, such as smartphones, IoT devices, and drones, are typically limited in resources and…
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[ad_1] Introduction In recent years, smart transportation systems have become increasingly popular due to their ability to improve traffic flow, reduce congestion, and increase overall efficiency. However, with the proliferation of sensors and devices collecting…
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[ad_1] Introduction Deep reinforcement learning (DRL) has emerged as a powerful tool for training autonomous agents to make intelligent decisions in complex environments. Autonomous underwater vehicles (AUVs) are unmanned vehicles capable of operating underwater without…
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[ad_1] Introduction Advancements in artificial intelligence (AI) have revolutionized various industries, including healthcare. AI technologies have shown great potential in enhancing medical diagnosis, particularly in the field of radiology. With the increasing complexity of medical…
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[ad_1] Introduction Climate change is one of the most pressing challenges facing humanity today, with far-reaching implications for the environment, economy, and society as a whole. Predicting and adapting to the impacts of climate change…
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[ad_1] Introduction: Blockchain technology has gained significant attention in recent years for its potential to transform various industries, including supply chain management. By utilizing blockchain technology, organizations can create transparent and ethical supply chains that…
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[ad_1] Introduction Artificial Intelligence (AI) has revolutionized various industries by providing innovative solutions to complex problems. One such application is AI-driven software cost estimation, which aims to predict the cost of developing software accurately and…
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[ad_1] Introduction The increased availability of healthcare data has led to the development of machine learning algorithms for various healthcare applications. However, sharing sensitive medical information between multiple parties for collaborative machine learning poses a…
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[ad_1] Introduction In recent years, there has been a significant increase in the use of wearable devices and mobile applications for health monitoring. These devices and apps collect a vast amount of personal health data,…
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