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Sudheer K Pratipati

from Redmond, WA
Age ~54
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Also known as:
R I, I Sudheer
Phone and address:
23725 NE 108Th Pl, Redmond, WA 98053
Related to:
Sowmya S Pratipati, 21Tulasi Pratipati, 49
Connected to:
Krishna M Prativadi, 55Brian F Pratka, 55Clay Pratka, 37Richard W Pratkanis, 81Wayne M Pratko, 70Ashley K Pratl, 29Carol A Pratl, 80Dennis W Pratl, 64Krista V Pratley, 53Nikki L Pratley, 57

Sudheer Pratipati Phones & Addresses

  • 23725 NE 108Th Pl, Redmond, WA 98053
  • 10164 224Th Ave, Redmond, WA 98053 (425) 896-8972
  • Sammamish, WA
  • Austin, TX
  • 41670 Manor Park Dr, Novi, MI 48375
  • Wixom, MI
  • Kiona, WA

Publications

Us Patents

Parking Identification And Availability Prediction

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US Patent:
20170345303, Nov 30, 2017
Filed:
Aug 14, 2017
Appl. No.:
15/676396
Inventors:
- San Francisco CA, US
Sudheer Pratipati - Redmond WA, US
Audrey Colle - Bellevue WA, US
Jose De Oliveira - Redmond WA, US
Jeff Couckuyt - Bothell WA, US
International Classification:
G08G 1/14
G08G 1/01
Abstract:
A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.

Parking Identification And Availability Prediction

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US Patent:
20160140845, May 19, 2016
Filed:
Nov 19, 2014
Appl. No.:
14/548179
Inventors:
- San Francisco CA, US
Sudheer Pratipati - Redmond WA, US
Audrey Colle - Bellevue WA, US
Jose De Oliveira - Redmond WA, US
Jeff Couckuyt - Bothell WA, US
International Classification:
G08G 1/14
Abstract:
A system includes a model generating component to generate a prediction tree model based on training data and an input component to receive input data including a destination in a geographical area. A computation component identifies at least one parking venue or at least one parking space near the destination in the geographical area and to generate at least one parking prediction corresponding to the at least one parking venue or the at least one parking space based at least in part on applying the input data to the prediction tree model. A presentation component presents the at least one parking venue or the at least one parking space and to present the at least one parking prediction to a user.
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Sudheer K Pratipati from Redmond, WA, age ~54 Get Report