Results 51 to 60 of about 3,858,232 (165)
ABSTRACT Rare earth elements (REEs) play an irreplaceable role in modern technology and industry. However, due to the highly similar physicochemical properties among REEs, their separation remains a significant challenge. Additionally, REEs often exist in low‐concentration solutions, making efficient REE recovery an urgent task.
Miao‐Miao Huang +6 more
wiley +1 more source
全球海水pH变化监测对于了解海水酸化状况及对海洋生物和生态系统影响具有重要作用。近年来,机器学习算法被广泛运用于从观测数据和容易获得的环境参数构建海洋酸化参数格点数据。然而,目前的研究主要致力于改善算法结构来提高准确性,而使用不同的环境参数数据产品对获取的海水酸化速度准确性有多大的影响至今没有报道。基于相同的海水pH观测数据和集成学习前反馈神经网络算法,使用不同的表层海水温度、盐度和CO2分压(pCO2)数据产品构建获取2002~2021年全球大洋表层海水pH数据 ...
钟 国荣 +6 more
doaj +1 more source
ABSTRACT The high accuracy in surface‐enhanced Raman scattering‐lateral flow immunoassays (SERS–LFIAs) is critical for reliable point‐of‐care testing (POCT) in clinical diagnostics. Conventional approaches are often affected by sampling variability and uneven distribution of immunoprobes, leading to unreliable signal fluctuations.
Shuai Zhao +9 more
wiley +1 more source
ABSTRACT High‐entropy alloys (HEAs) have emerged as a transformative class of materials distinguished by their complex chemical compositions, unique microstructures, and remarkable mechanical and functional properties. Traditionally, the discovery and optimization of HEAs have relied on conventional methods, including trial‐and‐error experimentation ...
Chrispin Ouko Zamzu +2 more
wiley +1 more source
基于收集的189个不锈钢管混凝土构件的轴压试验数据建立了机器学习数据库,采用6种机器学习模型(随机森林、决策树、支持向量机、多层感知器、极端梯度提升和自适应提升)分别对圆形和方形截面不锈钢管混凝土构件进行了轴压承载力预测研究,同时分析了不同参数对机器学习模型预测精度的影响。研究结果表明,上述6种机器学习预测模型中预测精度最高的是极端梯度提升模型,对于圆形和方形截面构件所有参数的预测,该模型的均方根误差分别为0.043 5和0.018 8,且预测值与试验值之比的变异系数分别为0.127和0.166 ...
余琪瑶, 廖飞宇, 陆国兵
doaj +2 more sources
Background Working memory updating is crucial in bilingual children′s second language (L2) reading comprehension. A robust updating ability is a cognitive key for children to successfully master L2 reading comprehension. Objective This study is aimed at investigating the effect of updating ability on the L2 Chinese reading comprehension among Uyghur ...
Guangxin Li +3 more
wiley +1 more source
本文基于关节空间提出了机器人的一种离散学习控制算法,此算法仅仅利用了部分机器人动力学模型知识,基于关节空间的加速度信号构成迭代学习律,并给出了算法的收敛性证明 ...
徐进学, 谈大龙, 柴天佑
core
What ChatGPT “Thinks” About Your Country? Sentiments and Frames of AI Geographies
ABSTRACT What opinions are generated by AI algorithms about different countries? Is there a systematic difference in the opinions generated about each region? In this paper we developed a machine learning model to classify labeled and unlabeled datasets of opinions about countries generated by ChatGPT.
Ilan Manor, Elad Segev
wiley +1 more source

