[ad_1] Introduction The advancement of computer vision technology has opened up new opportunities in various industries, including the automotive sector. Autonomous vehicles, also known as self-driving cars, are one of the areas where computer vision…
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[ad_1] Introduction In recent years, 3D reconstruction has become a popular research area in computer vision and computer graphics. With the advancement in technology and the availability of powerful computing resources, the field of 3D…
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[ad_1] Introduction Image segmentation is a crucial step in image processing and computer vision, which involves partitioning an image into multiple regions or objects. It plays a significant role in various applications such as medical…
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[ad_1] Thesis Overview Title: Exploring the Security of Internet of Things (IoT) Devices The increasing integration of IoT devices into our daily lives has raised concerns about the security and privacy risks associated with these…
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[ad_1] Introduction With the increasing reliance on digital communication and data storage, the need for secure cryptographic algorithms has become more important than ever. Cryptographic algorithms play a crucial role in ensuring the confidentiality, integrity,…
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[ad_1] Introduction In recent years, transfer learning and meta-learning have emerged as promising approaches to improving the performance of machine learning models by leveraging knowledge from related tasks. Transfer learning involves transferring knowledge from one…
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[ad_1] Introduction on Finance Finance is a crucial aspect of every organization, as it involves managing the flow of funds to ensure the financial stability and growth of the company. It plays a significant role…
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[ad_1] Introduction Reinforcement learning is a field of machine learning that focuses on teaching agents to make decisions in an uncertain and dynamic environment to achieve a specific goal. This learning paradigm has gained significant…
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[ad_1] Introduction Artificial Intelligence (AI) and Machine Learning (ML) have revolutionized various fields by enabling computers to learn from data and make decisions without being explicitly programmed. One of the most exciting applications of AI…
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[ad_1] Introduction Boltzmann machines are a type of energy-based model that have gained popularity in the field of machine learning due to their ability to capture complex dependencies in data and generate realistic samples. These…
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