Search: voting — Academic Articles

A Survey on Deep Learning

Samira Pouyanfar, Saad B Sadiq, Yilin Yan, Haiman Tian et al. • ACM Computing Surveys (2018)

The field of machine learning is witnessing its golden era as deep learning slowly becomes the leader in this domain. Deep learning uses multiple layers to represent the abstractions of data to build computational models. Some key enabler d...

OPENALEX DOI: https://doi.org/10.1145/3234150

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Credit Card Fraud Detection Using AdaBoost and Majority Voting

Kuldeep Randhawa, Chu Kiong Loo, Manjeevan Seera, Chee Peng Lim et al. • IEEE Access (2018)

Credit card fraud is a serious problem in financial services. Billions of dollars are lost due to credit card fraud every year. There is a lack of research studies on analyzing real-world credit card data owing to confidentiality issues. In...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2018.2806420

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An ensemble approach for imbalanced multiclass malware classification using 1D-CNN

Binayak Panda, Sudhanshu Shekhar Bisoyi, Sidhanta Panigrahy • PeerJ Computer Science (2023)

Dependence on the internet and computer programs demonstrates the significance of computer programs in our day-to-day lives. Such demands motivate malware developers to create more malware, both in terms of quantity and variety. Researchers...

DOAJ Open Access (DOAJ) DOI: 10.7717/peerj-cs.1677

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Using Soft Voting Classifier of Machine Learning Algorithms for Earthquake Prediction

Oqbah Salim Atiyah • Al-Kitab Journal for Pure Sciences (2024)

Earthquakes are among the most dangerous natural disasters that can cause major losses to buildings and threaten human lives. The research community is very interested in the topic of earthquakes because they occur suddenly and predicting t...

DOAJ Open Access (DOAJ) DOI: 10.32441/kjps.09.01.p1

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A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis

Muhammad Irfan, Zohaib Mushtaq, Nabeel Ahmed Khan, Salim Nasar Faraj Mursal et al. • IEEE Access (2023)

Machine learning (ML) based bearing fault detection is an emerging application of Artificial Intelligence (AI) that has proven its utility in effectively classifying various faults for timely measures. There are myriad studies dedicated to ...

DOAJ Open Access (DOAJ) DOI: 10.1109/ACCESS.2023.3332243

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Academic Articles & Research Papers

A Survey on Deep Learning

Credit Card Fraud Detection Using AdaBoost and Majority Voting

An ensemble approach for imbalanced multiclass malware classification using 1D-CNN

Using Soft Voting Classifier of Machine Learning Algorithms for Earthquake Prediction

A Scalo Gram-Based CNN Ensemble Method With Density-Aware SMOTE Oversampling for Improving Bearing Fault Diagnosis