Invited lecture2025
“A hands on Approach to optimize the performance parameter of a bio-fueled SI engine using Artificial Neural Networks
- Quality Education
- Industry, Innovation and Infrastructure
- Responsible Consumption and Production
- Partnerships for the Goals
- Innovation, Science and Technology
The record
- Type
- Invited lecture
- Date
- 12 April 2025
- Level
- International — held in India
- Location
- Online
- School
- Reporting cycle
- 2025
- Programme
- Faculty Development Programme on “Advancing Hydrogen Energy Frontiers: Artificial Intelligence, E-Mobility, and Sustainable Green Technologies
- Role
- Resource Person
- Organiser
- Electronics and ICT Academy, NIT Patna
- 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
9.5 Enhance scientific research, upgrade technological capabilities, and increase researchers and R&D spending
Tier B rule computing-and-ai matched "neural networks" 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.
- 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.
4.4 Substantially increase the number of youth and adults with relevant skills for employment, decent jobs and entrepreneurship
Tier B rule sdg-4-by-form matched "hands on" in the record’s own title. The form of the activity is capability-building — a faculty development programme, a short-term training programme, a workshop or a certificate course — which is what targets 4.c and 4.4 are about. It is a secondary label and may take the primary only where no rule naming a subject fired at all.
- Moderate confidence
- The alignment is plausible and defensible but rests on an assumption a reasonable reviewer could decline. Published, and surfaced in the review queue for a human to confirm or override.
- 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.
12.2 Achieve the sustainable management and efficient use of natural resources
Tier B rule sustainable-production matched "green technologies" in the surrounding programme or host, banded one lower because the match is contextual. Names sustainable production or efficient use of natural resources, which is target 12.2.
- 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.
17.16 Enhance the global partnership for sustainable development, complemented by multi-stakeholder partnerships
Structural signal: an international-level designation with no named counterpart.
- Produced by
- sdg17-structural-v1, 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 computing-and-ai matched "neural networks" 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.
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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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!1063 |
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. ““A hands on Approach to optimize the performance parameter of a bio-fueled SI engine using Artificial Neural Networks”. Kortex. Last read 17 September 2026.