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
An overview on the advancements of support vector machine models in healthcare applications: a review
Support vector machines (SVMs) are well-known machine learning algorithms for
classification and regression applications. In the healthcare domain, they have been used …
classification and regression applications. In the healthcare domain, they have been used …
[HTML][HTML] Machine learning, IoT and 5G technologies for breast cancer studies: A review
Cancer is a life-threatening ailment characterized by the uncontrolled proliferation of cells.
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Breast cancer (BC) represents the most highly infiltrative neoplasms and constitutes the …
Efficient breast cancer mammograms diagnosis using three deep neural networks and term variance
Breast cancer (BC) is spreading more and more every day. Therefore, a patient's life can be
saved by its early discovery. Mammography is frequently used to diagnose BC. The …
saved by its early discovery. Mammography is frequently used to diagnose BC. The …
A novel enhanced hybrid clinical decision support system for accurate breast cancer prediction
Feature selection is one of the crucial data preprocessing techniques for improving the
performance of machine learning (ML) models. Recently, metaheuristic feature selection …
performance of machine learning (ML) models. Recently, metaheuristic feature selection …
[HTML][HTML] A light gradient-boosting machine algorithm with tree-structured parzen estimator for breast cancer diagnosis
Breast cancer is a common and potentially life-threatening disease. Early and accurate
diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes …
diagnosis of breast cancer is crucial for effective treatment and improved patient outcomes …
Breast cancer classification using Deep Q Learning (DQL) and gorilla troops optimization (GTO)
Breast cancer (BC) is a primary reason for death among the female population around the
world. Early identification can aid in decreasing the mortality rates associated with this …
world. Early identification can aid in decreasing the mortality rates associated with this …
Toward improving breast cancer classification using an adaptive voting ensemble learning algorithm
Over the past decade, breast cancer has been the most common type of cancer in women.
Different methods were proposed for breast cancer detection. These methods mainly classify …
Different methods were proposed for breast cancer detection. These methods mainly classify …
An enhanced soft-computing based strategy for efficient feature selection for timely breast cancer prediction: Wisconsin Diagnostic Breast Cancer dataset case
When contemplating the improvement of overall performance in machine learning (ML)
models, a critical strategy for optimizing data preparation is feature selection (FS). There has …
models, a critical strategy for optimizing data preparation is feature selection (FS). There has …
Machine learning to predict the adsorption capacity of microplastics
Nowadays, there is an extensive production and use of plastic materials for different
industrial activities. These plastics, either from their primary production sources or through …
industrial activities. These plastics, either from their primary production sources or through …
Multi-input deep learning approach for breast cancer screening using thermal infrared imaging and clinical data
Breast cancer is one of the most prevalent causes of death among women across the globe.
Early detection is the best strategy for reducing the mortality rate. Currently, mammography …
Early detection is the best strategy for reducing the mortality rate. Currently, mammography …