Results 31 to 40 of about 17,258 (161)

Learning Styles, Engagement and Anxiety in AI‐Mediated Writing: A Multimodal Feedback Study

open access: yesInternational Journal of Applied Linguistics, EarlyView.
ABSTRACT Artificial intelligence (AI) tools now permeate English academic writing. However, evidence on how feedback modalities align with student differences and with psychological mechanisms remains limited. Prior work often reduced learning styles to simple matches with delivery modes and treated learning engagement and writing anxiety as peripheral.
Yi Ren   +3 more
wiley   +1 more source

我国互联网用户数预测研究

open access: yesGuangtongxin yanjiu, 2007
文章研究了利用Bass模型预测我国互联网用户数的方法。首先对Bass模型进行了描述,然后通过已有数据确定了Bass模型参数,最后利用该模型预测了我国互联网用户数并进行了误差分析。从预测结果中可以大致看出我国互联网用户达到饱和的时间,为今后带宽的预测打下了基础。文章最后给出了Bass模型的适用范围与参数确定方法,同时也提出了几种改善预测精度的方案。
陈晶晶, 毛谦, 刘国辉
doaj  

Spatially Downscaling of Future Food Demand for Policy Planning

open access: yesWorld Food Policy, Volume 12, Issue 1, May 2026.
ABSTRACT Understanding the subnational dynamics of food demand, while accounting for the evolution of the agrifood system at the global level, remains a challenge for designing food policy to ensure food security. To link global agrifood systems with subnational food policy planning, we downscale per capita food demand for 62 food commodities at the ...
Chun Song   +3 more
wiley   +1 more source

基于可解释机器学习模型的电信行业客户流失预测研究

open access: yesDianxin kexue
在电信行业中,客户流失的准确预测对于相关企业维持市场竞争力和增加收益至关重要。为此提出一个结合CatBoost算法和SHAP(shapley additive explanations)模型的客户流失预测框架,旨在提高预测的准确性,同时增强模型的可解释性。利用新疆某通信公司的实际营业数据,通过数据预处理及特征工程,构建预测模型,选取5种主要关键性能指标评估模型性能。实验结果显示,所提出模型在选取的评价指标上均优于当前主流机器学习预测模型。最后引入SHAP框架增强模型可解释性,揭示影响客户流失的关键因素 ...
王圣节, 张庆红
doaj   +1 more source

Multivariate water quality parameter prediction model based on hybrid neural network(基于复合神经网络的多元水质指标预测模型)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2022
长江流域在我国水资源配置体系中具有重要地位,对其进行水质预测尤为重要。基于现有研究结果,结合循环神经网络(recurrent neural network,RNN)中的门控循环单元(gate recurrent unit,GRU)模型与全连接神经网络(fully connected neural network,FCNN),提出了改进的多元水质指标预测(MWQPP)模型,并用其预测长江流域水体的pH、溶解氧(DO)、高锰酸盐指数(CODMn)、氨氮(NH3-N)。基于长江流域2011 ...
WANGYuwen(王昱文)   +4 more
doaj   +1 more source

Machine Learning Model for an App‐Based Tool to Assist With the Diagnosis of Canine Atopic Dermatitis

open access: yesVeterinary Dermatology, Volume 37, Issue 2, Page 236-246, April 2026.
Canine atopic dermatitis (cAD) is a chronic condition requiring life‐long management. Accurate diagnosis can be challenging, with no reliable diagnostic test. This study aimed to generate a simple diagnostic model for cAD. This model is a relevant prototype for an app‐based tool to support general practitioners in the diagnosis of cAD alongside ...
Xavier Langon   +2 more
wiley   +1 more source

Factors That Influenced Coping With COVID‐19 During the Pandemic in Botswana

open access: yesWorld Medical &Health Policy, Volume 18, Issue 1, March 2026.
ABSTRACT This paper forms part of the broader Global South study, Personal and Family Coping with COVID‐19 in the Global South, which examines psychosocial and behavioral responses to the COVID‐19 pandemic. In Sub‐Saharan Africa, the pandemic posed significant psychological, social, and economic challenges, with important implications for preparedness ...
Magen Mhaka‐Mutepfa   +3 more
wiley   +1 more source

The coordination of dehydration tolerance and avoidance in oaks is mediated by leaf habit across a precipitation gradient

open access: yesFunctional Ecology, Volume 40, Issue 3, Page 750-763, March 2026.
Read the free Plain Language Summary for this article on the Journal blog. Abstract Forests worldwide are increasingly impacted by drought due to climate change, prompting plants to adapt through dehydration tolerance (DT) and avoidance (DA), two distinct physiological strategies.
Xingyun Liang   +11 more
wiley   +1 more source

考虑纤维截面形状的木棉毡流阻率的分析模型

open access: yesZhendong Ceshi yu Zhenduan
针对现有模型不适用于木棉纤维材料流阻率预测的问题,测试了不同体密度的木棉毡。首先,使用已有的预测模型计算了木棉毡的流阻率;其次,通过对测试值拟合,给出了适用于木棉毡流阻率预测的经验模型;最后,考虑不同体密度下木棉纤维的截面形状与排布,基于Tarnow模型和哈根‑泊肃叶流动假设,通过推导微单元中的平均速度和摩擦力,给出了纤维圆形截面和扁平截面下木棉毡流阻率的分析模型,并使用压扁率对模型进行了修正。结果表明:与测试值对比,已有模型的木棉毡流阻率预测精度较低;修正模型适用于介于两种截面之间的过渡状态 ...
doaj   +1 more source

Forecasting the costs of residential construction based on support vector machine and least squares-support vector machine(基于SVM和LS-SVM的住宅工程造价预测研究)

open access: yesZhejiang Daxue xuebao. Lixue ban, 2016
为在方案设计初期与工程造价相关信息很少的条件下,准确快速地预测住宅工程造价,在分析既往相关理论和方法优劣的基础上,选取支持向量机构建住宅工程造价预测模型,并通过主成分分析对原始数据进行降噪处理.选取住宅工程造价预测指标集与样本,对输入指标的数据进行主成分分析,消除指标相关性的同时对原始数据降维,将处理后的数据分别导入到“标准支持向量机”和“最小二乘支持向量机”模型中进行训练和预测,并对预测结果进行对比分析,选取较为合理的预测模型,通过参数寻优进一步优化预测效果.所构建预测模型的相对误差均控制在±7%以内,
QINZhongfu(秦中伏)   +3 more
doaj   +1 more source

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