This research presents a novel solution to the serious global health issue of cardiovascular diseases. The suggested technology revolutionizes remote cardiac monitoring by combining wireless Electrocardiogram sensors ...
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The rise of deepfake technology presents a critical challenge to the integrity of digital media, prompting the need for advanced forgery detection techniques. This paper proposes a novel approach for detecting deepfak...
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In today's data-driven world, striking a balance between data utility and privacy is paramount. Homomorphic encryption, a revolutionary cryptographic technique, facilitates computations on encrypted data without d...
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In today's energy-conscious world, efficient energy management has become a critical challenge. Buildings, being one of the major energy consumers' usages of light source, humidity control irrespective to surr...
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This study offers a thorough analysis of bottom-up parsing techniques, necessary for the creation and execution of compilers. Parsers such as SLR (Simple LR), LR (Canonical LR), LR(k) and LALR (Look-Ahead LR) are bott...
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Throughout history, music has consistently remained a widely enjoyed source of entertainment, and technology has swiftly acknowledged its popularity. The emergence of numerous music streaming platforms has provided us...
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Addressing real-time translation and accessibility challenges in historical manuscripts written in the Devanagiri script, this research introduces an implementation of Optical Character Recognition (OCR) seamlessly in...
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n the rapidly evolving world of cryptocurrency markets, the precise forecasting of Bitcoin's value against the US Dollar acquires paramount importance, catering to the interests of diverse stakeholders including i...
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ISBN:
(纸本)9798350382693
n the rapidly evolving world of cryptocurrency markets, the precise forecasting of Bitcoin's value against the US Dollar acquires paramount importance, catering to the interests of diverse stakeholders including investors, regulatory agencies, and academia. This study ventures into a comprehensive assessment of various time series forecasting methodologies, including but not limited to Random Forest Regression, ARIMA, Linear Regression, and XGBoost. Notably, our investigation unveils a pivotal revelation: the foundational models like Linear Regression and Random Forest Regression, traditionally con-sidered less complex, not only contend but also surpass the forecast accuracy of ARIMA models in the realm of Bitcoin. This paper aims to demystify the underpinnings of this superior performance, especially in mitigating the inherent volatility and unpredictability characteristic of Bitcoin. Our findings herald a transformative perspective in financial time series forecasting, potentially reshaping investment strategies and predictive analytics in the digital currency landscape.n the rapidly evolving world of cryptocurrency markets, the precise forecasting of Bitcoin's value against the US Dollar acquires paramount importance, catering to the interests of diverse stakeholders including investors, regulatory agencies, and academia. This study ventures into a comprehensive assessment of various time series forecasting methodologies, including but not limited to Random Forest Regression, ARIMA, Linear Regression, and XGBoost. Notably, our investigation unveils a pivotal revelation: the foundational models like Linear Regression and Random Forest Regression, traditionally considered less complex, not only contend but also surpass the forecast accuracy of ARIMA models in the realm of Bitcoin. This paper aims to demystify the underpinnings of this superior performance, especially in mitigating the inherent volatility and unpredictability characteristic of Bitcoin. Our findings
AI is now used to analyze large datasets, which can subsequently be used to predict outcomes and provide patient insights. In this paper, we aim to address the challenge of insufficient medical data, which in turn hin...
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In present time, the area of generating photorealistic images using Generative Adversarial Networks (GAN s) has seen considerable interest due to their capability to make high-quality, high-efficient and diverse visua...
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