Xia Li from Flower Mound, TX, age 74

Wikipedia References

Xia Li

Work:

Xia Li " Xia Li " is a scientist based at the Monell Chemical Senses Center in Philadelphia
Her accomplishments were featured in the inaugural issue of PLoS Genetics and in the December 2005 issue of Catnip Magazine.

Medicine Doctors

Xia M. Li

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Specialties:

Internal Medicine, Family Medicine

Work:

Sunmoon Urgent Care Medical Group
1161 1/2 Logan St, Los Angeles, CA 90026
2134841289 (phone), 2134842339 (fax)

Education:

Medical School
Shihezi Med Coll, Shihezi City, Xinjiang Upgur Auto Reg, Taiwan
Graduated: 1982

Conditions:

Acute Upper Respiratory Tract Infections
Diabetes Mellitus (DM)
Disorders of Lipoid Metabolism
Abnormal Vaginal Bleeding
Acne

Languages:

Chinese
English
Spanish

Description:

Dr. Li graduated from the Shihezi Med Coll, Shihezi City, Xinjiang Upgur Auto Reg, Taiwan in 1982. She works in Los Angeles, CA and specializes in Internal Medicine and Family Medicine. Dr. Li is affiliated with Pacific Alliance Medical Center.

License Records

Xia Li

License #:

27292 - Expired

Issued Date:

Mar 20, 2009

Renew Date:

Mar 20, 2009

Expiration Date:

May 31, 2010

Type:

Certified Public Accountant

Xia Li

License #:

1261006505

Category:

Esthetician License

Us Patents

Systems And Methods For Utilizing Machine Learning And Neural Network Models To Identify Issues In Wireless Networks
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US Patent:

20230088342, Mar 23, 2023
Filed:

Oct 6, 2022
Appl. No.:

17/938434
Inventors:

- Basking Ridge NJ, US
Brian A. WARD - Fort Worth TX, US
Richard S. DELK - Irmo SC, US
Xia Li - Sunnyvale CA, US
Assignee:

Verizon Patent and Licensing Inc. - Basking Ridge NJ
International Classification:

H04W 24/10
H04B 17/345
G06N 3/04
G06N 3/08
Abstract:

A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.

Systems And Methods For Utilizing Machine Learning And Neural Network Models To Identify Issues In Wireless Networks
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US Patent:

20210160719, May 27, 2021
Filed:

Nov 21, 2019
Appl. No.:

16/691400
Inventors:

- Arlington VA, US
Brian A. WARD - Fort Worth TX, US
Richard S. DELK - Irmo SC, US
Xia LI - Sunnyvale CA, US
International Classification:

H04W 24/10
G06N 3/08
G06N 3/04
H04B 17/345
Abstract:

A device may receive input data associated with a wireless network, and may extract data from the input data to generate extracted data. The device may create PRB images based on the extracted data, and may process the PRB images, with a first model, to associate labels with each of the PRB images. The device may process the labels and the PRB images, with a second model, to identify potential issues associated with the PRB images, and may process data identifying the potential issues associated with the PRB images, with a third model, to compress the data identifying the potential issues into an array. The device may process the array, with a fourth model, to determine probability scores associated with the potential issues, and may select a potential issue with a greatest probability score as a detected issue. The device may perform actions based on the detected issue.