AI-DRIVEN PERSONALIZATION IN ADVERTISING: TRANSFORMING CONSUMER ENGAGEMENT THROUGH SUSTAINABILITY AND CIRCULAR ECONOMY

AI-Driven Personalization in Advertising: Transforming Consumer Engagement through Sustainability and Circular Economy

In this comprehensive exploration, the author delves into the dynamic landscape of advertising, unveiling the transformative fusion of artificial intelligence and personalized marketing strategies.The article meticulously dissects the evolving realm of consumer engagement, highlighting the seismic shift mini-dresses towards sustainability and circu

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Applying a Pix2Pix Generative Adversarial Network to a Fourier-Domain Optical Coherence Tomography System for Artifact Elimination

The presence of artifacts, including conjugate, DC, and auto-correlation artifacts, Tags is a critical limitation of Fourier-domain optical coherence tomography (FD-OCT).Many methods have been proposed to resolve this problem to obtain high-quality images.Furthermore, the development of deep learning has resulted in many prospective advancements in

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Influence of the Anomalous Patterns of the Mascarene and Australian Highs on Precipitation during the Prerainy Season in South China

The authors Fruits/Veggies investigate the features of precipitation during the prerainy season in South China (PSCPRS) and the atmospheric circulation in the Southern Hemisphere (SH), which is expected to influence the PSCPRS significantly.The Morlet wavelet method revealed that the PSCPRS has significant interannual variability, especially in its

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