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David Murr

In the United States, there are 368 individuals named David Murr spread across 37 states, with the largest populations residing in Texas, Florida, California. These David Murr range in age from 47 to 79 years old. Some potential relatives include William Murr, Donald Smith, Lisa Murr. You can reach David Murr through various email addresses, including elaine.sokolo***@verizon.net, jm***@msn.com, christopher.m***@snet.net. The associated phone number is 215-949-1732, along with 6 other potential numbers in the area codes corresponding to 423, 651, 804. For a comprehensive view, you can access contact details, phone numbers, addresses, emails, social media profiles, arrest records, photos, videos, public records, business records, resumes, CVs, work history, and related names to ensure you have all the information you need.

Public information about David Murr

Phones & Addresses

Business Records

Name / Title
Company / Classification
Phones & Addresses
David C. Murr
Pa, Physician Assistant
Hoots Memorial Hospital
Hospital & Health Care · General Hospital · Hospitals · Family Doctor · Internist
PO Box 68, Yadkinville, NC 27055
624 W Main St, Footsville, NC 27055
336-679-2041
David C. Murr
Pa, Physician Assistant
Hoots Memorial Hospital, Inc
General Hospital
PO Box 68, Footsville, NC 27055
624 W Main St, Footsville, NC 27055
336-679-2041
David L. Murr
Principal
Rod & Reel Outdoor Productions
Motion Picture/Video Production
1306 Severn Rd, Richmond, VA 23229
David Murr
MIS Director
UGI Energy Services
Oil & Energy · Selling Energy Products And Services · Natural Gas Distribution
1 Meridian Blvd SUITE 2C01, Wyomissing, PA 19610
460 N Gulph Rd, King of Prussia, PA 19406
209 W Washington St, Charleston, WV 25302
100 Kachel Blvd, Reading, PA 19607
610-373-7999, 610-796-3406, 484-663-5824, 610-337-1000
David Murr
Director
Wellington Window Wear, Inc
362 Commerce Way, Longwood, FL 32750
David Murr
MIS Director
Ugi Energy Services, Inc
Natural Gas Distribution
1 Meridian Blvd, Reading, PA 19610
PO Box 12676, Reading, PA 19612
610-373-7999
David C. Murr
DJ Custom Homes
Home Builders
903 S Par Ln, East Wenatchee, WA 98802
425-471-5589
David Murr
DAVID MURR ROOFING
Maryville, TN 37801
865-825-5089

Publications

Us Patents

Systems And Methods For Automatic Estimation Of Object Characteristics From Digital Images

US Patent:
2019006, Feb 28, 2019
Filed:
Aug 30, 2018
Appl. No.:
16/118021
Inventors:
- Arlington VA, US
David Murr - Minneapolis MN, US
Lars P. Dyrud - Crownsville MD, US
International Classification:
G06K 9/62
G06F 17/30
G06N 3/08
Abstract:
Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.

Image Analysis Of Multiband Images Of Geographic Regions

US Patent:
2019023, Aug 1, 2019
Filed:
Apr 8, 2019
Appl. No.:
16/377843
Inventors:
- Arlington VA, US
Shadrian Strong - Catonsville MD, US
David Murr - Minneapolis MN, US
Lars Dyrud - Crownsville MD, US
International Classification:
G06F 16/583
G06F 16/58
G06F 16/51
G06F 16/29
G06K 9/00
G06K 9/62
G06K 9/46
Abstract:
Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.

System And Method For Managing Water

US Patent:
2016017, Jun 16, 2016
Filed:
Apr 27, 2015
Appl. No.:
14/696867
Inventors:
Kristin Lavigne - Lincoln MA, US
David Murr - Minneapolis MN, US
Lars P. Dyrud - Crownsville MD, US
Jonathan T. Fentzke - Arlington VA, US
Indra Epple - Somerville MA, US
Shadrian Strong - Catonsville MD, US
International Classification:
G06K 9/00
G06K 9/46
G06K 9/62
Abstract:
A device includes an image data receiving component, a vegetation index generation component, a GLC matrix component, a plurality of classifying components and a voting component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a normalized difference vegetation index based on the received multiband image data. The GLC matrix component generates a grey level co-occurrence matrix image band based on the received multiband image data. The classifying components generate land cover classifications based on the received multiband image data, the normalized difference vegetation index and the grey level co-occurrence matrix image band. The voting component generates a final land cover classification based a majority vote of the land cover classifications.

Image Analysis Of Multiband Images Of Geographic Regions

US Patent:
2021001, Jan 21, 2021
Filed:
Aug 3, 2020
Appl. No.:
16/983449
Inventors:
- Arlington VA, US
Shadrian Strong - Bellevue WA, US
David Murr - Minneapolis MN, US
Lars Dyrud - Crownsville MD, US
International Classification:
G06F 16/583
G06K 9/00
G06K 9/46
G06K 9/62
G06F 16/51
G06F 16/58
G06F 16/29
Abstract:
Computer-implemented methods and systems for image analysis of multiband images of geographic regions are described, including a method by one or more computer executing executable instructions stored in one or more non-transitory, tangible, computer readable media, the method comprising: receiving one or more multiband image of a geographic region, the one or more multiband image having pixels; generating a grey level co-occurrence matrix for the pixels in the one or more multiband image; generating a surface index for the one or more multiband image containing information indicative of a surface type represented by one or more of the pixels in the one or more multiband image; and classifying the pixels of the one or more multiband image into one of a group of predefined land cover classes, based on the surface index in combination with the grey level co-occurrence matrix.

Systems And Methods For Automatic Estimation Of Object Characteristics From Digital Images

US Patent:
2021026, Aug 26, 2021
Filed:
Mar 5, 2021
Appl. No.:
17/193651
Inventors:
- Arlington VA, US
David Murr - Minneapolis MN, US
Lars P. Dyrud - Crownsville MD, US
International Classification:
G06K 9/62
G06N 3/08
G06F 16/51
G06F 16/583
G06N 3/04
Abstract:
Methods and systems for automatic estimation of object characteristics from a digital image are disclosed, including a method comprising sub-dividing into two or more segments a digital image comprising pixels and depicting an object of interest, wherein each segment comprises two or more pixels; assessing content depicted in one or more of the segments for a predetermined object characteristic using machine learning techniques comprising General Image Classification of the one or more segments using a convolutional neural network, wherein the General Image Classification comprises analyzing the segment as a whole and outputting a general classification for the segment as a whole as related to the one or more predetermined object characteristic; and determining a level of confidence of one or more of the segments having the one or more predetermined object characteristic based on the General Image Classification assessment.

System And Method For Predicting Well Site Production

US Patent:
2016028, Sep 29, 2016
Filed:
Feb 11, 2016
Appl. No.:
15/041175
Inventors:
David Murr - Minneapolis MN, US
Shadrian Strong - Catonsville MD, US
Kristin Lavigne - Lincoln MA, US
Lars Dyrud - Crownsville MD, US
Jonathan Fentzke - Arlington VA, US
Assignee:
OmniEarth, Inc. - Arlington VA
International Classification:
G01V 8/02
Abstract:
A device includes an image data receiving processor, a well site data receiving processor, a zonal statistics processor and a vent flare calculator. The image data receiving processor receives image data of a geographic region around and including a well site The well site data receiving processor receives well site location data of a location of the well site and generates well pad location data of a location of a well pad including the well site. The zonal statistics processor generates pixel data from the well pad location. The vent flare calculator calculates a volume of flared gas and based on the pixel data.

Systems And Methods For Automated Structure Modeling From Digital Imagery

US Patent:
2023007, Mar 9, 2023
Filed:
Oct 19, 2022
Appl. No.:
18/047948
Inventors:
- Rochester NY, US
David Murr - Minneapolis MN, US
Shadrian Strong - Bellevue WA, US
International Classification:
G06F 30/13
G06T 7/11
G06T 7/73
G06V 20/70
Abstract:
Methods and systems for automated structure modeling form digital imagery are disclosed, including a method comprising receiving target digital images depicting a target structure; automatically identifying target elements of the target structure in the target digital images using convolutional neural network semantic segmentation; automatically generating a heat map model depicting a likelihood of a location of the target elements of the target structure; automatically generating a two-dimensional model or a three-dimensional model of the target structure based on the heat map model without further utilizing the target digital images; and extracting information regarding the target elements from the two-dimensional or the three-dimensional model of the target structure.

System And Method For Managing Water

US Patent:
2016031, Oct 27, 2016
Filed:
Jun 2, 2016
Appl. No.:
15/171022
Inventors:
Kristin Lavigne - Lincoln MA, US
Shadrian Strong - Catonsville MA, US
David Murr - Minneapolis MN, US
Lars P. Dyrud - Crownsville MD, US
Jonathan T. Fentzke - Arlington VA, US
Indra Epple - Somerville MA, US
International Classification:
G06T 7/00
G06Q 50/06
G06K 9/46
G06T 7/40
G06K 9/52
G06K 9/62
Abstract:
A device includes an image data receiving component, a vegetation index generation component, a spatial structure variance generation component, a classification component and a water budget component. The image data receiving component receives multiband image data of a geographic region. The vegetation index generation component generates a vegetation index based on the received multiband image data. The spatial structure variance generation component generates a spatial structure variance image band based on the received multiband image data. The classification component generates a land cover classification based on the received multiband image data, the vegetation index and the spatial structure variance image band. The water budget component generates a water budget of a portion of the geographic region based on the land cover classification.

FAQ: Learn more about David Murr

What is David Murr date of birth?

David Murr was born on 1963.

What is David Murr's email?

David Murr has such email addresses: elaine.sokolo***@verizon.net, jm***@msn.com, christopher.m***@snet.net, ahemm***@aol.com, dm***@peoplepc.com, dm***@twcny.rr.com. Note that the accuracy of these emails may vary and they are subject to privacy laws and restrictions.

What is David Murr's telephone number?

David Murr's known telephone numbers are: 215-949-1732, 423-788-3162, 651-528-8365, 804-288-2532, 804-673-6431, 865-692-1821. However, these numbers are subject to change and privacy restrictions.

How is David Murr also known?

David Murr is also known as: David D Murr, Dave P Murr. These names can be aliases, nicknames, or other names they have used.

Who is David Murr related to?

Known relatives of David Murr are: David Murr, Brittany Murr, Brittany Murr, Lisa Fountain, Carrie Fountain, Christopher Krider. This information is based on available public records.

What are David Murr's alternative names?

Known alternative names for David Murr are: David Murr, Brittany Murr, Brittany Murr, Lisa Fountain, Carrie Fountain, Christopher Krider. These can be aliases, maiden names, or nicknames.

What is David Murr's current residential address?

David Murr's current known residential address is: 122 Rho St, Belle Chasse, LA 70037. Please note this is subject to privacy laws and may not be current.

What are the previous addresses of David Murr?

Previous addresses associated with David Murr include: 3723 Manor Dr, Greensboro, NC 27403; 3723 Manor, Greensboro, NC 27403; 23895 Lone Pine Dr, Moreno Valley, CA 92557; 1823 Burgandy Dr, Charlotte, NC 28262; 3703 Marbury Rd, Charlotte, NC 28269. Remember that this information might not be complete or up-to-date.

Where does David Murr live?

Belle Chasse, LA is the place where David Murr currently lives.

How old is David Murr?

David Murr is 61 years old.

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