Turnitin
降AI改写
早检测系统
早降重系统
Turnitin-UK版
万方检测-期刊版
维普编辑部版
Grammarly检测
Paperpass检测
checkpass检测
PaperYY检测
Merits of Bayesian networks in overcoming small data challenges: A meta-model for handling missing data
The abundant availability of data in Big Data era has helped achieving significant advances
in the machine learning field. However, many datasets appear with incompleteness from …
in the machine learning field. However, many datasets appear with incompleteness from …
Detection of Non-Technical Losses on a Smart Distribution Grid Based on Artificial Intelligence Models
MA Souza, HTV Gouveia, AA Ferreira… - Energies, 2024 - mdpi.com
Non-technical losses (NTL) have been a growing problem over the years, causing
significant financial losses for electric utilities. Among the methods for detecting this type of …
significant financial losses for electric utilities. Among the methods for detecting this type of …
AI and semantic ontology for personalized activity eCoaching in healthy lifestyle recommendations: a meta-heuristic approach
Background Automated coaches (eCoach) can help people lead a healthy lifestyle (eg,
reduction of sedentary bouts) with continuous health status monitoring and personalized …
reduction of sedentary bouts) with continuous health status monitoring and personalized …
Predicting place of delivery choice among childbearing women in East Africa: a comparative analysis of advanced machine learning techniques
Background Sub-Saharan Africa faces high neonatal and maternal mortality rates due to
limited access to skilled healthcare during delivery. This study aims to improve the …
limited access to skilled healthcare during delivery. This study aims to improve the …
Analysing the footprint of classifiers in overlapped and imbalanced contexts
It is recognised that the imbalanced data problem is aggravated by other difficulty factors,
such as class overlap. Over the years, several research works have focused on this …
such as class overlap. Over the years, several research works have focused on this …