As malware threats become increasingly complex, the development of advanced detection systems is necessary to protect digital assets. SecureML Using Machine Learning presents an innovative approach to combat the escal...
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With the rapid increase in cloud services and the increasing shift toward them, balancing the cloud load has become a critical research issue. The increasing demand from customers for technology services worldwide is ...
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This article investigates the effect of AI-driven structures on the automation of information science. AI-pushed structures and automation of records technology have ended up an increasing number of essential because ...
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Music is a collection of measures expertly crafted and placed together by composers. However, most composer classification models aim to recognize entire songs and may not be suited for thematic analysis that analyzes...
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ISBN:
(纸本)9798350351439;9798350351422
Music is a collection of measures expertly crafted and placed together by composers. However, most composer classification models aim to recognize entire songs and may not be suited for thematic analysis that analyzes each collection of measures within a song. Additionally, composer classification techniques rely on large amounts of songs, and previously presented transformer neural network iterations cannot accommodate samples outside of the training dataset due to their tokenization process. In this paper, we propose a lightweight retrieval technique that achieves the single composer benchmark accuracies presented by previous classification models at a fraction of the computing resources. This solution can be applied to variable-length MIDI songs from composers both included and excluded in the training dataset, and it achieves 100% accuracy in our performance study.
Cloud computing is a significant leap in the development process of the information industry. It integrates computing, storage, network, and other information resources organically, providing more convenient means for...
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This research presents a comparative analysis of modern voice cloning systems, focusing on their ability to generate high-quality speech from limited training data. The paper aims to demonstrate that carefully curated...
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Image recovery algorithms applied to imaging systems such as lensless imaging in end devices are a high-speed edge computing process. Diffraction recovery algorithms typically include operations such as FFT/IFFT, ampl...
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Computerized medical image segmentation is a vital tool for diagnosing and treating trendy illnesses. a ramification trendy strategies had been proposed to section medical pictures, but most modern them could not acqu...
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The digital revolution and the development of communications and social media have produced billions of articles in all fields. Automatically classifying articles has a major role in developing systems and artificial ...
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Electrocardiograms (ECG) are essential tools for diagnosing cardiovascular diseases, yet traditional ECG identification relies on the experiential interpretation by doctors, which is time-consuming and subject to subj...
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