This inventor holds 6 USPTO granted patents and 5 published patent applications. Top assignees: National Cheng-Kung University, Institute for Information Industry, Nupoint Technology Co., Ltd.. Active years: 2010-2019.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile
Company Filing History:

Years Active: 2010-2019
Title: Innovations of Shin-Mu Tseng
Introduction
Shin-Mu Tseng is a notable inventor based in Tainan, Taiwan. He has made significant contributions to the field of technology, particularly in the areas of episode mining and plant disease recognition. With a total of six patents to his name, Tseng's work reflects a commitment to advancing innovative solutions.
Latest Patents
One of his latest patents is an "Episode mining device, method and non-transitory computer readable medium of the same." This invention outlines a method for episode mining that includes retrieving real-time operation parameters and generating incremental candidate patterns. These patterns consist of events with an occurrence frequency exceeding a specified threshold. Additionally, he has developed a "Method and system for recognizing plant diseases and recording medium." This system utilizes a plant disease database to identify diseases based on captured plant images and their corresponding characteristics.
Career Highlights
Shin-Mu Tseng has worked with prestigious institutions such as National Cheng Kung University and the Institute for Information Industry. His experience in these organizations has allowed him to collaborate on various innovative projects that contribute to his field.
Collaborations
Some of his notable coworkers include Ja-Hwung Su and Wei-Yi Chang. Their collaborative efforts have further enhanced the impact of Tseng's inventions.
Conclusion
Shin-Mu Tseng's contributions to technology through his patents and collaborations highlight his role as a significant inventor in the field. His work continues to influence advancements in episode mining and plant disease recognition.
Data source: USPTO (United States Patent and Trademark Office) public patent records. Weekly synchronization. How IDiyas builds this profile