Federal contract award

693JJ620C000010

THE OBJECTIVE OF THIS PROJECT IS TO COMPLETE A FEASIBILITY STUDY ON A NOVEL MACHINE LEARNING FRAMEWORK BASED ON ANOMALY DETECTION APPLIED TO ULTRASONIC RAIL DEFECT DETECTION. THE WORK WILL EXAMINE AUTOENCODERS AS A TOOL TO CLASSIFY RAIL INSPECTION DA

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Award details

Obligations, current value and potential value describe different measures; they are never added together.

FieldReported value
AgencyDepartment of Transportation
Office693JJ6 FEDERAL RAILROAD ADMIN
NAICS541720 — Research and Development in the Social Sciences and Humanities
PSCAS32 — TRANSPORTATION R&D SERVICES; WATER TRANSPORTATION; APPLIED RESEARCH
Parent award / vehicleNot reported
Set-asideNO SET ASIDE USED.
Pricing typeCOST SHARING
Obligations$179.9K
Current contract value$179.9K
Potential contract value / ceiling$179.9K
Start dateJun 16, 2020
Current end dateSep 30, 2022
Potential end dateSep 30, 2022
Latest award activityOct 3, 2024
Source loadedAug 15, 2026

Funding and modification history

Showing the latest 1 of 1 loaded transactions. Negative values are deobligations.

DateModificationObligation changeDescription
Oct 3, 2024P00003$0CLOSEOUT

Research next steps

  1. Check the stated set-aside against the solicitation and current certifications.
  2. Review the award scope and buyer evidence before making a bid/no-bid decision.