Applications of Blockchain Technology and Crypto Currencies: Current Practice and Future Trends
Keywords:Crypto Currencies, Digital currencies, Virtual currencies, Cryptography Secure financial transactions, Decentralized networks, Blockchains
A type of machine learning technique known as convolutional neural networks (CNNs) has demonstrated great performance in recognizing patterns and traits in medical images, including CT scans. These algorithms can develop a very accurate ability to distinguish between benign and malignant lung lesions by receiving training on massive datasets of annotated CT images. Additionally, CAD systems that have been combined with machine learning models can help radiologists analyze CT images. This paper explores the applications of blockchain technology and cryptocurrencies, examining their current practices and future trends. An overview of blockchain technology, explaining its decentralized and transparent nature, as well as its underlying mechanisms such as consensus algorithms and smart contracts is provided. Furthermore, the paper discusses the regulatory landscape surrounding blockchain technology and cryptocurrencies, highlighting the efforts made by governments and international organizations to establish frameworks and guidelines. It also addresses the challenges and concerns associated with scalability, energy consumption, privacy, and security in the blockchain and cryptocurrency ecosystem.
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