GFIS IndiaCollaboration & pilot programmes
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UNIVERSITIES / LABORATORIES

A better model needs
a measured question.

Collaborate on prospective validation, measurement quality and reproducible research. Begin with a question that the available evidence can actually answer.

Potential study directions

  • Methane prediction where methane flow or fraction is actually measured.
  • VFA/ALK soft sensing against dated laboratory observations.
  • Temperature regimes, intervention logs and stability evaluation.
  • Chronological persistence, XGBoost and LSTM comparisons.
  • Physics consistency where the required measured variables exist.

Protocol to agree before testing

  • Dataset provenance, permitted use, reactor identity and target units.
  • Sampling cadence, missingness, calibration and observation timing.
  • Chronological splits, untouched test period and baseline selection.
  • Data access, research contributions and publication/IP review.
  • Limitations, adverse results and reproducible artefact retention.
Register your interestReview the evidence boundaries

METHOD BEFORE MODEL SIZE

Complexity must
earn its place.

Persistence predicts the last observed value. XGBoost uses past-only features. LSTM uses sequence memory. The useful comparison is a leakage-safe temporal evaluation—not a favourable isolated score.

Open retained model comparisons (external website, new tab)Research workspace · sign-in required (external website, new tab)

GFIS INDIA / FIND YOUR ROUTE

A clearer place to begin.

Choose the question closest to yours. This is an authored route guide, not a live adviser or a submitted enquiry.

I operate a plantUnderstand records and scope a digital pilot.I represent a city or agencyExplore feedstock and project-readiness questions.I work in researchDefine measurements and prospective validation.I deliver engineering servicesDiscuss instruments, process and deployment interfaces.
Prepare a briefExplore the technology (external website, new tab)