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Author

Kenji Sato

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Open access 2021

Scalable Data Pipelines for Real-time Predictive Maintenance in Edge Computing Environments

A modular pipeline design combining lightweight edge processing, efficient data streaming, and cloud-based model orchestration is proposed that enables real-time predictive maintenance at the edge and demonstrates significant improvements in latency reduction, system scalability, and fault prediction accuracy.

S. Rahman, Kenji Sato · 0 citations
Open access 2021

Blockchain Technology for Secure Financial Transactions

The research analyzes how blockchain mitigates security threats such as fraud, double spending, identity theft, unauthorized access, and transaction tampering and indicates that blockchain significantly enhances transaction security and transparency while reducing costs and processing times.

Kenji Sato, Aiko Yamamoto · 2 citations
Open access 2020

Federated Learning in Distributed Cloud Systems: Enhancing Privacy and Scalability for Machine Learning in Edge Computing

This paper investigates the implementation of FL in distributed cloud systems, highlighting its role in preserving data privacy and improving scalability, and analyzes various FL algorithms, such as Federated Averaging (FedAvg), assessing their effectiveness in edge computing contexts.

Kenji Sato · 0 citations
Review Open access 2023

Automated Feature Engineering Techniques for Tabular Data

The effectiveness of automated feature engineering is proved by experimental results that show that the method can enhance the accuracy and robustness of models as well as improve generalization with respect to the multiple benchmark datasets.

Yuki Tanaka, Kenji Sato · 0 citations
Review Open access 2023

Robotic Process Automation for Modern Enterprise Workflows

The authors establish the main issues associated with scalability, security, and maintainability and show future research perspectives of sustainable adoption of RPA in large-scale enterprise settings.

Kenji Sato, Aiko Yamamoto · 0 citations

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