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
Integrated structural health monitoring in bridge engineering
Integrated structural health monitoring (SHM) uses the mechanism analysis, monitoring
technology and data analytics to diagnose the classification, location and significance of …
technology and data analytics to diagnose the classification, location and significance of …
SMOTE for learning from imbalanced data: progress and challenges, marking the 15-year anniversary
The Synthetic Minority Oversampling Technique (SMOTE) preprocessing algorithm is
considered" de facto" standard in the framework of learning from imbalanced data. This is …
considered" de facto" standard in the framework of learning from imbalanced data. This is …
Machine learning assisted prediction and optimization of mechanical properties for laser powder bed fusion of Ti6Al4V alloy
Due to the complex physical metallurgy phenomena and enormous parameter combination,
the traditional trial-and-error method makes the microstructure tailoring of laser additive …
the traditional trial-and-error method makes the microstructure tailoring of laser additive …
[HTML][HTML] A predictive analytics approach for stroke prediction using machine learning and neural networks
The negative impact of stroke in society has led to concerted efforts to improve the
management and diagnosis of stroke. With an increased synergy between technology and …
management and diagnosis of stroke. With an increased synergy between technology and …
Machine learning for perovskite solar cells and component materials: key technologies and prospects
Data‐driven epoch, the development of machine learning (ML) in materials and device
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …
design is an irreversible trend. Its ability and efficiency to handle nonlinear and game …
[HTML][HTML] Methods and applications for Artificial Intelligence, Big Data, Internet of Things, and Blockchain in smart energy management
Abstract Information technologies involving artificial Intelligence, big data, Internet of Things
devices and blockchain have been developed and implemented in many engineering fields …
devices and blockchain have been developed and implemented in many engineering fields …
Big data preprocessing: methods and prospects
The massive growth in the scale of data has been observed in recent years being a key
factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety …
factor of the Big Data scenario. Big Data can be defined as high volume, velocity and variety …
Photovoltaic power forecasting based on a support vector machine with improved ant colony optimization
Accurate prediction of photovoltaic (PV) power for an ultra-short term can improve the usage
of grid-connected PV power. In this study, data preprocessing based on an ultra-short-term …
of grid-connected PV power. In this study, data preprocessing based on an ultra-short-term …
Imbalance-XGBoost: leveraging weighted and focal losses for binary label-imbalanced classification with XGBoost
Abstract The paper presents Imbalance-XGBoost, a Python package that combines the
powerful XGBoost software with weighted and focal losses to tackle binary label-imbalanced …
powerful XGBoost software with weighted and focal losses to tackle binary label-imbalanced …
A survey on data preprocessing for data stream mining: Current status and future directions
Data preprocessing and reduction have become essential techniques in current knowledge
discovery scenarios, dominated by increasingly large datasets. These methods aim at …
discovery scenarios, dominated by increasingly large datasets. These methods aim at …