Publication2025
Embedded and Cloud Computing for Ingesting Big Multimedia Data in IOT Sensor Networks Applications
The record
- Type
- Publication
- Date
- 1 January 2025
- Level
- National
- Journal
- Studies in Big Data
- Volume
- 173
- Pages
- 95-111
- Published
- 1 January 2025
- DOI
- 10.1007/978-981-96-4356-1_5
- Scopus ID
- 105005969842
- ISSN
- 21976503
- Authors
- 4
- Open access
- No
- Citations
- 0
- International co-authorship
- No
- Co-author countries
- IN
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
Research on cloud and embedded computing architectures for multimedia data processing in IoT ecosystems advances research and innovation capacity in digital infrastructure.
- 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.
- Judged
- Judged against the published classification rubric, under the rubric and prompt versions recorded with the run that produced it.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
9.2 Promote inclusive and sustainable industrialization and raise industry’s share of employment and GDP
IoT and cloud computing infrastructure development contributes to reliable ICT systems for manufacturing and service sectors.
- 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
- claude-haiku-4-5-20251001, under kortex-publication-v1
Viksit Bharat @2047
vb-3.2 Digital technology and artificial intelligence
Hybrid cloud-embedded computing paradigm demonstrates advancement in digital technology infrastructure for data-intensive applications.
- Produced by
- claude-haiku-4-5-20251001, under kortex-publication-v1
Each label above carries the instrument and the version that produced it. How each classification is reached.
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- Source rows resolved into this record
- 1
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Citing this record
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KIIT Deemed to be University. “Embedded and Cloud Computing for Ingesting Big Multimedia Data in IOT Sensor Networks Applications”. Kortex.