An intelligent tax administration framework integrates data standardization, automated workflows, and dynamic risk modeling to enhance fraud detection in digital environments. By combining machine ...
A new study published in the journal Minerals sheds light on this sweeping shift. Titled Big Data and AI in Geoscience: From ...
Early in the morning during festivals, many Indian homes wake up to patterns forming quietly at the doorstep. White powder falls in steady lines. Dots appear fi ...
In machine learning, privacy risks often emerge from inference-based attacks. Model inversion techniques can reconstruct ...
Abstract: Online learning recommendation is critical for talent cultivation and high-quality education. However, existing algorithms often prioritize personalization over learning goals, leading to ...
Abstract: As the penetration rate of distributed photovoltaics (PV) continues to rise, accurate forecasting of distributed PV clusters becomes critical for ensuring the economic operation of power ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
As social media becomes the core domain of information interaction in the era of big data, the emotional information contained in the vast amount of user-generated content provides an unprecedented ...
Physicists have long recognized the value of photonic graph states in quantum information processing. However, the difficulty ...
Know how AI algorithms identify wash trading and artificial volume on Web3 exchanges. Learn about machine learning techniques ...
AI outputs vary because confidence varies. Corroboration and entity optimization turn inconsistent AI visibility into consistent presence.
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