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Preprocessing

Combination of unsupervised discretization methods for credit risk

José G. Fuentes Cabrera, Hugo A. Pérez Vicente, Sebastián Maldonado, Jonás Velasco

Multi-region minutiae depth value-based efficient forged finger print analysis

M. Baskar, Renuka Devi Rajagopal, [ ... ], T. S. Arulananth

Anatomically compliant modes of variations: New tools for brain connectivity

Letizia Clementi, Eleonora Arnone, [ ... ], Laura M. Sangalli

Improving accuracy in state of health estimation for lithium batteries using gradient-based optimization: Case study in electric vehicle applications

Mouncef El Marghichi, Soufiane Dangoury, [ ... ], Mohamed I. Mosaad

EFFNet: A skin cancer classification model based on feature fusion and random forests

Xiaopu Ma, Jiangdan Shan, [ ... ], He Li

Innovation technology opportunity identification of civil aircraft mechanical connections based on generative topographic mapping

Lijie Feng, Huyi Zhang, [ ... ], Jinzhang Li

Application of multivariate time-series model for high performance computing (HPC) fault prediction

Xiangdong Pei, Min Yuan, Guo Mao, Zhengbin Pang

RETRACTED: Gastrointestinal tract disorders classification using ensemble of InceptionNet and proposed GITNet based deep feature with ant colony optimization

Muhammad Ramzan, Mudassar Raza, [ ... ], Seifedine Kadry

Research on performance variations of classifiers with the influence of pre-processing methods for Chinese short text classification

Dezheng Zhang, Jing Li, Yonghong Xie, Aziguli Wulamu

Early warning of telecom enterprise customer churn based on ensemble learning

Yancong Zhou, Wenyue Chen, Xiaochen Sun, Dandan Yang

RETRACTED: A wearable-based sports health monitoring system using CNN and LSTM with self-attentions

Tao Yuhuan Wang, Jiajia Cui, Yao Fan

The value of utility payment history in predicting first-time homelessness

Colin D. Middleton, Kim Boynton, David Lewis, Andrew M. Oster

An automated system of intrusion detection by IoT-aided MQTT using improved heuristic-aided autoencoder and LSTM-based Deep Belief Network

P. M. Vijayan, S. Sundar

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