National Natural Science Foundation of China,Grant/Award Number:61972261;Natural Science Foundation of Guangdong Province,Grant/Award Number:2314050006683;Key Basic Research Foundation of Shenzhen,Grant/Award Number:JCYJ20220818100205012;Basic Research Foundations of Shenzhen,Grant/Award Number:JCYJ20210324093609026.
In this study,an observation points‐based positive‐unlabeled learning algorithm(hence called OP‐PUL)is proposed to deal with positive‐unlabeled learning(PUL)tasks by judiciously assigning highly credible labels to...
funded in part byMajor projects of the National Social Science Fund(16ZDA054)of China;the Postgraduate Research&Practice Innovation Program of Jiansu Province(NO.KYCX18_0999)of China;the Engineering Research Center for Software Testing and Evaluation of Fujian Province(ST2018004)of China.
Meteorological model tasks require considerable meteorological basis data to support their execution.However,if the task and the mete-orological datasets are located on different clouds,that enhances the cost,executio...
Artificial intelligence and machine learning are widely applied in all domain applications today,including noncontact vital sign monitoring,data mining and denoising,data analysis,and application as traffic simulation...
The 2020 Scientific Research Project of Hebei Provincial Administration of Traditional Chinese Medicine(NO:2020365);The 2019 Hebei University College Student Innovation Training Project(S201910075030).
Background:This study gets a classic prescription of Song Dynasty medicine for the treatment of waist and leg pain through analyzing the inheritance of traditional Chinese medicine auxiliary platform.Further,the poten...
An optimized data-matching machine learning algorithm is developed to provide high-prediction accuracy of total burned areas for specific wildfire incidents.It is applied to a well-studied forest-fire dataset from Por...
The understanding of customer incidents and behaviour is crucial to the success of any organization. Evidence from literature shows a prediction pattern of products to customer. These studies predicted product charact...
Purpose This work uses the data which represent the measurements of the gamma radiation levels in ambient air from many gamma monitoring stations that are distributed in many sites to classify the regions which cover ...
Data mining has been proven as a reliable technique to analyze road accidents and provide productive results. Most of the road accident data analysis use data mining techniques, focusing on identifying factors that af...
The fraudulent behavior of taxpayers impacts negatively the resources available to finance public services. It creates distortions of competition and inequality, harming honest taxpayers. Such behavior requires the go...