Invited lecture2025
Adaptive Spectrum allocation Through Hybrid Deep RNNs and Edge Computing
- Affordable and Clean Energy
- Industry, Innovation and Infrastructure
- Innovation, Science and Technology
The record
- Type
- Invited lecture
- Date
- 23 March 2025
- Level
- National
- Location
- West Bengal, India
- School
- Reporting cycle
- 2025
- Programme
- Innovative Research In Renewable Energy Technologies (IRRET-2025)
- Role
- Paper Presenter
- Organiser
- Department Of Electronics and communication Engineering & Electrical Engineering,IMPS college
- People presenting
- 1
Classification
Every label below carries the reasoning it was assigned on, the confidence band it was assigned in, and what produced it. The rubric is published.
UN Sustainable Development Goals
9.c Significantly increase access to ICT and provide universal and affordable access to the internet
Tier B rule telecommunications matched "spectrum allocation" in the record’s own title. Names communications infrastructure or access to it, which is target 9.c.
- High confidence
- The subject matter is a strong and direct inference from the record type, the funding or organising body, or the programme context, even where the title alone is thin. Example: an ICMR-funded project against SDG 3, on the strength of the agency.
- Rule-derived
- Emitted by a deterministic rule from structural signals rather than judged from the record’s text. The rule carries a version, so rule-derived and judged labels stay separable.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
7.2 Substantially increase the share of renewable energy in the global energy mix
Tier B rule renewable-energy matched "renewable energy" in the surrounding programme or host, banded one lower because the match is contextual. Names a renewable energy source or its technology, which is target 7.2.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Tier B rule computing-and-ai matched "edge computing" in the record’s own title. Names computing, data or artificial intelligence as the method or the subject. Target 9.5 unless an applied domain also fires, in which case the domain takes the primary and this takes the secondary.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
Viksit Bharat @2047
vb-3 Innovation, Science and Technology
Derived through the seeded SDG-to-Viksit-Bharat crosswalk from the primary SDG 9 label. Tier B rule telecommunications matched "spectrum allocation" in the record’s own title. Names communications infrastructure or access to it, which is target 9.c.
- Produced by
- tier-b-lexicon-v2, under kortex-input-v1+rubric@1.1.0#7bc5877481c9+lexicon@tier-b-lexicon-v2#fb739e066356Input template kortex-input-v1; rubric 1.1.0; lexicon tier-b-lexicon-v2. Each can change without the others, which is why the version is a composite.
Records of this type were classified by a published, versioned rule set, over 5,246 activities. Each label above carries the rubric version it was produced under. How each classification is reached.
Evidence
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No outbound evidence link is recorded for this activity. The record below states which source it came from and when it was last read.
Provenance
Which source system this record came from, how many source rows were resolved into it, and when each was last read.
- Source rows resolved into this record
- 1
- Source records held
- 1
| Source system | Reference | Last read |
|---|---|---|
| KIIT PBAS reporting workbook (consolidated) | Data - Invited Lecture!89 |
Each record carries the date Kortex last read it from its source system. That is a freshness date and not a verification: Kortex records what its sources say and when it read them, and it does not check those statements against any external authority. No claim on this site is described as verified, because none is.
Citing this record
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KIIT Deemed to be University. “Adaptive Spectrum allocation Through Hybrid Deep RNNs and Edge Computing”. Kortex. Last read 17 September 2026.
