AI impacts on supply chain performance : a manufacturing use case study [0.03%]
人工智能对供应链绩效的影响——一项制造业案例研究
Stefan Walter
Stefan Walter
The integration of cross-company activities to form global supply chains (SC) has several benefits, including reducing costs, minimizing energy and resource waste, and promoting relationships for improving all network actors. However, as th...
BMWP: the first Bengali math word problems dataset for operation prediction and solving [0.03%]
BMWP：用于操作预测和求解的首个孟加拉语数学词问题数据集
Sanchita Mondal,Debnarayan Khatua,Sourav Mandal et al.
Sanchita Mondal et al.
Solving math word problems of varying complexities is one of the most challenging and exciting research questions in artificial intelligence (AI), particularly in natural language processing (NLP) and machine learning (ML). Foundational lan...
A review of machine learning and deep learning for Parkinson's disease detection [0.03%]
机器学习和深度学习在帕金森病检测中的应用综述
Hajar Rabie,Moulay A Akhloufi
Hajar Rabie
Millions of people worldwide suffer from Parkinson's disease (PD), a neurodegenerative disorder marked by motor symptoms such as tremors, bradykinesia, and stiffness. Accurate early diagnosis is crucial for effective management and treatmen...
The effect of resampling techniques on the performances of machine learning clinical risk prediction models in the setting of severe class imbalance: development and internal validation in a retrospective cohort [0.03%]
重采样技术对机器学习临床风险预测模型在严重类别不平衡设置下的性能影响：回顾性队列的开发和内部验证研究
Janny Xue Chen Ke,Arunachalam DhakshinaMurthy,Ronald B George et al.
Janny Xue Chen Ke et al.
Purpose: The availability of population datasets and machine learning techniques heralded a new era of sophisticated prediction models involving a large number of routinely collected variables. However, severe class imbal...