Lung cancer is the most life-threatening cancer worldwide, emphasizing the critical importance of its timely detection and treatment for patient recovery. Colon cancer is also a very hazardous cancer if not treated ti...
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Augmented reality (AR) is a technology that integrates virtual images with the real world. As the computational power of mobile electronic devices continues to advance, AR-capable mobile devices are emerging as the ne...
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Credit card fraud has become a major problem in the financial industry, causing huge financial losses for financial institutions and cardholders. Because internet banking and e-commerce are being used more often there...
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Rust, scab, spot, and several infections are serious apple agricultural diseases. Expert disease detection from restricted areas costs time and money. To address the problem, Deep Learning (DL) is utilized to detect a...
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Causal relationships are essential for understanding financial systems, offering insights into market dynamics, regulatory impacts, and organizational decisions. Traditional approaches to detecting causality in financ...
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The application of computer 3D visualization and real-time measurement technology in geological exploration has significant advantages over traditional geological exploration methods, especially in the context of the ...
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This paper reports for the first time a highly sensitive cavity-enhanced photoacoustic sensor constructed based on anti-resonant hollow-core fibre (AR-HCF) with acousto-optic transducer thin film, which shows great po...
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Cab booking services help people order taxis. Existing cab booking services use client server-based architecture. The paper gives a study of the architecture and workings of the Uber cab booking website (Dissanayake, ...
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Event Argument Extraction is a critical task of Event Extraction, focused on identifying event arguments within text. This paper presents a novel Fusion Selection-Generation-Based Approach, by combining the precision ...
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Recently, large language models (LLMs) have shown the potential to enhance recommendations due to their sufficient knowledge and remarkable summarization ability. However, the existing LLM-powered recommendation may c...
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