Volume 3

Artificial Intelligence (AI) systems, particularly deep learning models, have revolutionized numerous sectors with their unprecedented performance capabilities. However, the intricate structures of these models often result in a "black-box" characterization, making their decisions difficult to understand and trust. Explainable AI (XAI) emerges as a...

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Computer vision, an interdisciplinary field bridging artificial intelligence and image processing, seeks to bestow machines with the capability to interpret and make decisions based on visual data. As the digital age propels forward, the ubiquity of visual content underscores the importance of efficient and effective automated interpretation. This ...

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Vibroseis seismic acquisition technology is a method of acquiring seismic data utilizing correlation technology. Specifically, the seismic single shot record is obtained through correlation between the reference signal and the mother record. Specifically, the seismic single shot record is obtained through correlation between the reference signal an...

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The intersection of artificial intelligence (AI) and software engineering marks a transformative phase in the technology industry. This paper delves into AI-driven software engineering, exploring its methodologies, implications, challenges, and benefits. Drawing from data sources such as GitHub and Bitbucket and insights from industry experts, the ...

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The integration of Artificial Intelligence (AI) in cloud computing heralds a transformative phase for the tech industry. As cloud infrastructures become more sophisticated, the potential of optimizing these services using AI has captured significant attention. This study aimed to explore how cloud providers can leverage AI to optimize resource allo...

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With the escalating complexity of IT networks and the surge in cyber threats, the need for advanced, real-time security solutions has never been more paramount. Machine learning (ML) and deep learning (DL) present promising avenues for enhancing the detection, analysis, and mitigation of threats in these intricate networks. The paper delves into th...

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As Artificial Intelligence (AI) systems increasingly weave into the fabric of diverse sectors, their intricate and often opaque decision-making processes pose challenges to users and stakeholders alike. The 'black box' nature of AI, especially deep learning models, highlights a pressing need for transparency and interpretability. This paper delves ...

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Natural Language Processing (NLP), a branch of artificial intelligence, is gaining traction as a potent tool for business analytics. With the proliferation of unstructured textual data, businesses are actively seeking methodologies to distill valuable insights from vast textual repositories. The introduction of NLP in the realm of business analytic...

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In the context of the widespread application of artificial intelligence technology, international Chinese language education is taking on new characteristics. The next generation of artificial intelligence is profoundly impacting the global education landscape and transforming the methods of knowledge production, driving the digitization of interna...

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