Predictive Model of Objective Response to Nivolumab Monotherapy for Advanced Renal Cell Carcinoma by Machine Learning Using Genetic and Clinical Data: The SNiP-RCC Study The use of real-world data ...
Researchers have developed a systematic review that charts the evolution of artificial intelligence in generative design for steel modular structures, particularly steel box modular buildings, ...
Spotting a needle in a haystack is easy compared to Yuejie Chi's typical day.As a leading researcher on the underpinnings of large language models ...
Researchers have developed an intelligent monitoring pipe that combines optical sensing with machine learning algorithms to monitor and predict 3D soil settlement. With more development, the system ...
Search engines are evaluating how information is connected across an entire website, not just within individual pages”— ...
Abstract: Text data classification in social networks is a crucial task for various applications such as sentiment analysis, spam detection, and content moderation. This abstract presents an algorithm ...
Abstract: As the core component of the electrified railway traction power supply system, the high work efficiency, low loss, and high reliability of three-phase $\mathrm{V} / \mathrm{v}$ traction ...
A recently approved measure would bar supermarkets from using algorithms to adjust the prices paid by individual shoppers.
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