While it has become indispensable for the success of DNNs, BP has several limitations, such as slow convergence, overfitting, high computational requirements, and its black box nature. Recently, ...
Artificial Intelligence is reshaping the future of investing by turning data into actionable insights. From predicting market ...
A deep learning framework enhances personalized advertising by combining reinforcement learning, sentiment analysis, and user behavior ...
Abstract: Utility-driven pattern analysis is a fundamental method for analyzing noteworthy patterns with high utility for diverse quantitative transactional databases. Recently, various approaches ...
Background/aims The antiseizure medication, vigabatrin, is associated with visual field loss (VAVFL). However, the fields can be challenging to interpret due to unfamiliarity with the characteristics ...
A new algorithm for estimating left ventricular filling pressure (LVFP) by echocardiography reduced indeterminate results to just two cases compared with 38 using previous guidelines, achieving 86% ...
Historically, architectural intelligence has expressed our ability to respond to spatial, climatic, cultural, and functional challenges. Early on, this intelligence was intuitive and empirical, rooted ...
Royalty-free licenses let you pay once to use copyrighted images and video clips in personal and commercial projects on an ongoing basis without requiring additional payments each time you use that ...
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