[ad_1] Introduction Computer vision is a rapidly advancing field that holds great promise for revolutionizing various industries through automation and efficiency improvements. One such area where computer vision technology can be utilized is in the…
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[ad_1] Introduction In recent years, the Internet of Things (IoT) has gained significant popularity due to its ability to connect a wide range of devices and enable them to communicate and share data. However, the…
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[ad_1] Introduction Quantum-inspired optimization techniques have gained significant attention in recent years due to their ability to solve complex problems efficiently and effectively. In the field of logistics and supply chain management, where the optimization…
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[ad_1] Introduction Federated learning is a novel machine learning approach that enables model training on decentralized data sources without the need for centralizing raw data. This technique has gained significant attention in recent years due…
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[ad_1] Introduction The global demand for energy continues to rise rapidly due to population growth and industrialization. This surge in energy consumption has put pressure on energy providers to efficiently forecast and manage demand in…
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[ad_1] Introduction Automated software vulnerability patching using artificial intelligence (AI) is a rapidly evolving field in cybersecurity that aims to improve the efficiency and effectiveness of patch management processes. Vulnerabilities in software systems are a…
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[ad_1] Introduction: In the manufacturing industry, ensuring high-quality products is crucial for maintaining customer satisfaction and competitiveness in the market. Traditional quality control methods often involve manual inspection processes that are time-consuming, costly, and prone…
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[ad_1] Introduction Computer vision is a rapidly growing field in the realm of technology, with applications in various industries such as healthcare, automotive, surveillance, agriculture, and many more. One of the emerging areas where computer…
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[ad_1] Introduction In recent years, the music industry has undergone significant transformations with the advent of digital technologies. One of the key challenges facing musicians and artists in this digital age is the inefficient and…
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[ad_1] Introduction Federated learning has emerged as a promising technique for privacy-preserving machine learning applications in various domains, including healthcare, finance, and smart cities. In the context of smart cities, where data is generated from…
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