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Journal of Materials Science - All sequential-dip-coating deposition of mixed organic cationic MAxFA1?xPbI3 perovskite films from an aqueous non-halide lead precursor solution was effectively... 相似文献
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Soban Arshad Khalid Iqbal Sheneela Naz Sadaf Yasmin Zobia Rehman 《计算机、材料和连续体(英文)》2022,72(3):4283-4301
Telecom industry relies on churn prediction models to retain their customers. These prediction models help in precise and right time recognition of future switching by a group of customers to other service providers. Retention not only contributes to the profit of an organization, but it is also important for upholding a position in the competitive market. In the past, numerous churn prediction models have been proposed, but the current models have a number of flaws that prevent them from being used in real-world large-scale telecom datasets. These schemes, fail to incorporate frequently changing requirements. Data sparsity, noisy data, and the imbalanced nature of the dataset are the other main challenges for an accurate prediction. In this paper, we propose a hybrid model, name as “A Hybrid System for Customer Churn Prediction and Retention Analysis via Supervised Learning (HCPRs)” that used Synthetic Minority Over-Sampling Technique (SMOTE) and Particle Swarm Optimization (PSO) to address the issue of imbalance class data and feature selection. Data cleaning and normalization has been done on big Orange dataset contains 15000 features along with 50000 entities. Substantial experiments are performed to test and validate the model on Random Forest (RF), Linear Regression (LR), Naïve Bayes (NB) and XG-Boost. Results show that the proposed model when used with XGBoost classifier, has greater Accuracy Under Curve (AUC) of 98% as compared with other methods. 相似文献
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Suhail Zobia Denton Erika R. E. Zwiggelaar Reyer 《Multimedia Tools and Applications》2018,77(5):6135-6148
Multimedia Tools and Applications - Computer Aided Detection (CAD) systems are being developed to assist radiologists in diagnosis. For breast cancer the emphasis is shifting from detection to... 相似文献
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