Kawasaki, Japan

Ojuro Yokoyama

This inventor holds 1 USPTO granted patent. Top assignee: Lenovo (Singapore) Pte. Ltd.. Active years: 2025.

IDiyas Innovation Intelligence. (2026). Inventor Profile: Ojuro Yokoyama. Retrieved from https://idiyas.com/inventor/ojuro-yokoyama

Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile


% Patents Active = 100.0

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2025

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1 patent (USPTO):Explore Patents

Title: Ojuro Yokoyama: Innovator in Electronic Communications

Introduction

Ojuro Yokoyama is a notable inventor based in Kawasaki, Japan. He has made significant contributions to the field of electronic communications, particularly through his innovative patent. His work focuses on enhancing the efficiency of message classification using advanced machine learning techniques.

Latest Patents

Ojuro Yokoyama holds a patent for the "Automatic classification of messages based on keywords." This invention utilizes a machine learning algorithm to analyze electronic communications and keywords. The algorithm generates similarity measures that indicate how closely the communications relate to the keywords. By clustering communications based on these measures, the system effectively filters out false positives and incorporates false negatives, improving the accuracy of message classification.

Career Highlights

Ojuro Yokoyama is currently employed at Lenovo (Singapore) Pte. Ltd., where he continues to develop innovative solutions in the tech industry. His expertise in machine learning and electronic communications has positioned him as a valuable asset to his team and the company.

Collaborations

Ojuro has collaborated with talented coworkers such as Anatassios Markas and Hiroyuki Sumi. Their combined efforts contribute to the advancement of technology and innovation within their projects.

Conclusion

Ojuro Yokoyama's contributions to electronic communications through his patent demonstrate his commitment to innovation and technology. His work not only enhances message classification but also showcases the potential of machine learning in practical applications.

Profile summary based on public USPTO records.
Data Sources: USPTO Patent Grant XML, Patent Center, EPO & CIPO • Normalized by IDiyas Innovation Graph. Methodology & provenance architecturePlease report any incorrect information to [email protected]
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