Abstract: Renal amyloidosis is a rare but severe disorder characterized by abnormal protein accumulation in the kidneys, leading to progressive renal dysfunction. Early detection is essential for ...
这是你suan的第一个项目，每日电力负荷的时间序列预测模型,数据集格式模板为：'年/月/日 时:分'(year/month/day hour:minute ...
A new study published in the International Journal of General Medicine showed that physicians may reliably estimate the ...
Researchers developed and validated a machine-learning algorithm for predicting nutritional risk in patients with nasopharyngeal carcinoma.
The review reports that blockchain-enhanced federated learning systems typically achieve slightly lower raw accuracy than ...
Purpose: Thyroid ultrasound is a primary tool for screening thyroid nodules (TNs), but existing risk stratification systems have limitations. Nowadays, machine learning (ML) offers advanced ...
Cui, J.X., Liu, K.H. and Liang, X.J. (2026) A Brief Discussion on the Theory and Application of Artificial Intelligence in ...
A Hebrew University study suggests AI tools could help growers better manage water use by predicting healthy plant behavior and flagging early signs of stress.
A new Israeli study suggests that machine-learning models may soon give growers a far more precise way to predict how much water their crops use each day, while also laying the groundwork for earlier ...
Researchers have developed a novel AI-driven framework using the XGBoost algorithm to accurately evaluate the skid resistance of asphalt pavements under various conditions. Published in Smart ...
Abstract: With the growth of modern technology, there has been a significant rise in fraud instances. Every year, billion dollars are disappear as an outcome of the growth on a global level. However, ...
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