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
Machine learning in medical applications: A review of state-of-the-art methods
Applications of machine learning (ML) methods have been used extensively to solve various
complex challenges in recent years in various application areas, such as medical, financial …
complex challenges in recent years in various application areas, such as medical, financial …
Machine learning and data mining in manufacturing
Manufacturing organizations need to use different kinds of techniques and tools in order to
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
fulfill their foundation goals. In this aspect, using machine learning (ML) and data mining …
Optimizing biodiesel production from waste with computational chemistry, machine learning and policy insights: a review
The excessive reliance on fossil fuels has resulted in an energy crisis, environmental
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …
pollution, and health problems, calling for alternative fuels such as biodiesel. Here, we …
An optimal pruning algorithm of classifier ensembles: dynamic programming approach
In recent years, classifier ensemble techniques have drawn the attention of many
researchers in the machine learning research community. The ultimate goal of these …
researchers in the machine learning research community. The ultimate goal of these …
[HTML][HTML] Post-hoc explanation of black-box classifiers using confident itemsets
Abstract Black-box Artificial Intelligence (AI) methods, eg deep neural networks, have been
widely utilized to build predictive models that can extract complex relationships in a dataset …
widely utilized to build predictive models that can extract complex relationships in a dataset …
A hybrid feature selection with ensemble classification for imbalanced healthcare data: A case study for brain tumor diagnosis
Electronic health records (EHRs) are providing increased access to healthcare data that can
be made available for advanced data analysis. This can be used by the healthcare …
be made available for advanced data analysis. This can be used by the healthcare …
Lung nodules detection using semantic segmentation and classification with optimal features
Lung cancer is a deadly disease if not diagnosed in its early stages. However, early
detection of lung cancer is a challenging task due to the shape and size of its nodules …
detection of lung cancer is a challenging task due to the shape and size of its nodules …
[HTML][HTML] IntelliHealth: a medical decision support application using a novel weighted multi-layer classifier ensemble framework
Accuracy plays a vital role in the medical field as it concerns with the life of an individual.
Extensive research has been conducted on disease classification and prediction using …
Extensive research has been conducted on disease classification and prediction using …
Identification of membrane protein types via multivariate information fusion with Hilbert–Schmidt independence criterion
Membrane proteins perform a variety of functions vital to the survival of organisms, such as
oxidoreductase, transferase or hydrolase. If the type of membrane protein can be detected …
oxidoreductase, transferase or hydrolase. If the type of membrane protein can be detected …
Tracking and predicting technological knowledge interactions between artificial intelligence and wind power: Multimethod patent analysis
J Wang, L Cheng, L Feng, KY Lin, L Zhang… - Advanced Engineering …, 2023 - Elsevier
To track the dynamics of AI and wind power technology knowledge interaction and predict
future interaction directions, this study proposes a multiview and multilayer patent analysis …
future interaction directions, this study proposes a multiview and multilayer patent analysis …