Sharifu Ura

Professor

Kitami Kogyo Daigaku

Japan

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About

Professor Sharifu Ura is a faculty member at Kitami Kogyo Daigaku, Japan. His primary research areas encompass smart manufacturing, DNA-based computing, and optimization of manufacturing processes. Recently, he has contributed to several articles focusing on enhancing artificial neural networks, verifying 3D-printed objects, and advancing big data analytics in machining decision-making.

Articles (20)

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2025

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2021

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2021

Collaborators (3)

Angkush Kumar Ghosh

Assistant Professor

Kitami Institute of Technology

JAPAN

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Abu Sadat Muhammad Sayem

Manchester Metropolitan University

UNITED KINGDOM

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Tiziana Segreto

Assistant Professor

University of Naples Federico II

ITALY

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Sharifu Ura

Research Interests

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About

Articles (20)

Leveraging DNA-Based Computing to Improve the Performance of Artificial Neural Networks in Smart Manufacturing

Manufacturing Process Optimization Using Open Data and Different Analysis Methods

Verifying the Accuracy of 3D-Printed Objects Using an Image Processing System

Preface for the Special Issue on Design, Concurrent Engineering and Smart Manufacturing in the Era of VUCA

Verifying the Accuracy of 3D-Printed Objects Using an Image Processing System

Towards Developing Big Data Analytics for Machining Decision-Making

Biologicalization of Smart Manufacturing Using DNA-Based Computing

Biologicalization of Smart Manufacturing Using DNA-Based Computing

Biologicalization of Smart Manufacturing Using DNA-Based Computing

Towards Developing Big Data Analytics for Machining Decision-Making

Towards Developing Big Data Analytics for Machining Decision-Making

Decision-Making Using Big Data Relevant to Sustainable Development Goals (SDGs)

Current Development and Future Perspective on Natural Jute Fibers and Their Biocomposites

Delay Domain-Based Signal Processing for Intelligent Manufacturing Systems

Optimization of Dry Electrical Discharge Machining of Stainless Steel using Big Data Analytics

Determining Surface Topography of a Dressed Grinding Wheel Using Bio-Inspired DNA-Based Computing

Developing sensor signal-based digital twins for intelligent machine tools

Time Latency-Centric Signal Processing: A Perspective of Smart Manufacturing

Preparing Datasets of Surface Roughness for Constructing Big Data from the Context of Smart Manufacturing and Cognitive Computing

Utilizing Fractals for Modeling and 3D Printing of Porous Structures

Collaborators (3)

Angkush Kumar Ghosh

Abu Sadat Muhammad Sayem

Tiziana Segreto

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