Seoul, South Korea

Kyoung-Jin Noh

USPTO Granted Patents = 1 

Average Co-Inventor Count = 4.0

ph-index = 1


Company Filing History:


Years Active: 2022

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1 patent (USPTO):Explore Patents

Title: Kyoung-Jin Noh: Innovator in Noise Data Artificial Intelligence

Introduction

Kyoung-Jin Noh is a prominent inventor based in Seoul, South Korea. He has made significant contributions to the field of artificial intelligence, particularly in the area of noise data analysis. His innovative approach aims to identify the sources of problematic noise, which is crucial for various applications in technology and engineering.

Latest Patents

Kyoung-Jin Noh holds 1 patent for his invention titled "Noise data artificial intelligence apparatus and pre-conditioning method for identifying source of problematic noise." This patent describes a noise data artificial intelligence learning method that includes a pre-conditioning technique for identifying problematic noise sources. The method involves selecting a unit frame for the noise, dividing it into segments, analyzing frequency characteristics, and applying a Bidirectional RNN for artificial intelligence learning.

Career Highlights

Throughout his career, Kyoung-Jin Noh has worked with notable companies such as Hyundai Motor Company and Kia Motors Corporation. His experience in these leading automotive firms has allowed him to apply his innovative ideas in practical settings, contributing to advancements in noise management and artificial intelligence.

Collaborations

Kyoung-Jin Noh has collaborated with esteemed colleagues, including Dong-Chul Lee and In-Soo Jung. These partnerships have fostered a creative environment that encourages the development of cutting-edge technologies in noise analysis.

Conclusion

Kyoung-Jin Noh is a visionary inventor whose work in noise data artificial intelligence is paving the way for advancements in identifying and managing problematic noise. His contributions are significant in enhancing the effectiveness of artificial intelligence applications in various industries.

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