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Ai for Optimal Resource Allocation for Govsatcom Services (Gshe-1)

NetherlandsTenders notice for Ai for Optimal Resource Allocation for Govsatcom Services (Gshe-1). The reference ID of the tender is 73123822 and it is closing on 14 Oct 2023.

Tender Details

  • Country: Netherlands
  • Summary: Ai for Optimal Resource Allocation for Govsatcom Services (Gshe-1)
  • NLT Ref No: 73123822
  • Deadline: 14 Oct 2023
  • Financier: Other Funding Agencies
  • Purchaser Ownership: Government
  • Tender Value: Refer Document
  • Notice Type: Tender
  • Document Ref. No.: 567624-2022
  • Purchaser's Detail:
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  • Description:
  • The objective of this study is the creation of a model that predicts the satellite network demand evolution linked to governmental/institutional services. This model (eventually adopting Artificial Intelligence (AI) algorithms) requires the identification of all factors (e.g., historical data, weather alerts, news…) that may have an impact on the network usage patterns for governmental/institutional services. The model would provide information about the predicted capacity demand (in terms of data rates; i.e., Mbps or similar unit) with a given certainty degree for a given timeframe and service location. This would allow a given network to maximise its usage on commercial services when governmental/institutional services are not required, and conversely, the network to timely unlock the required capacity for governmental/institutional services based on network demand predictions, this way avoiding static capacity assignment regardless of its usage patterns.
    Doc Title: Research and development services and related consultancy services
    Contract Type: Services
  • Documents:

 Tender Notice

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Ai for Optimal Resource Allocation for Govsatcom Services (Gshe-1) - Netherlands Tender

The EUROPEAN SPACE AGENCY, a Government sector organization in Netherlands, has announced a new tender for Ai for Optimal Resource Allocation for Govsatcom Services (Gshe-1). This tender is published on NetherlandsTenders under NLT Ref No: 73123822 and is categorized as a Tender. Interested and eligible suppliers are invited to participate by reviewing the tender documents and submitting their bids before the deadline on 2023-10-14.

The estimated tender value is Refer Document, and full details, including technical specifications and submission requirements, are provided in the official tender documents. Ensure all submissions meet the criteria outlined to be considered for evaluation.

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