Skip to content
DraconiticResearch
Search Sources API
203,948 studies31 sourcesUpdated 1 h ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

Lightweight energy efficient source-level adaptive computing framework for sustainable event-driven data transmission

  • Vinesh Thiruchelvam
  • Rajagopal Maheswar
  • James Deva Koresh Hezekiah
  • Chee Yong Lau
  • Chandrasekharan Nataraj
Open at sourcePDFDOICite

Related

  1. A resource-aware framework for energy and bandwidth efficient IoT intrusion detection using lightweight federated learning over SDN
    Hossein Baghalzadeh, Nahideh Derakhshanfard, Masoud Kargar +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref
  2. Efficient SPAD reconstruction framework with time-frequency domain compression and lightweight joint depth-intensity optimization
    Yaoqi Bao, Sijie Wu, Dong Li +4
    Optics ExpressPeer-reviewedPublisher termsApplied physics & instrumentationCrossref
  3. NAQsim: Full-Stack Architecture Simulation Framework for Fast and Space-Efficient Neutral Atom Quantum Computing
    Yosuke Ueno, Shinichi Sunami, Toshihide Hinokuma +5
    arXivPreprintarXiv licenceFull textQuantum physics & quantum informationarXiv
  4. SA-DETR: Lightweight Structure-Aware Defect Detection Model for Sustainable Low-Carbon Steel Manufacturing Based on RT-DETR-L
    Sensors (Basel, Switzerland)Peer-reviewedCC BYFull textEurope PMC
  5. Efficient real-time vehicle tracking via lightweight YOLO and DeepSORT integration
    Wei Xu, Jiacheng Liu, Ming Cheng +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textCrossref

Cite

BibTeXRIS
BibTeX
@article{thiruchelvam2026lightweight,
  title = {{Lightweight energy efficient source-level adaptive computing framework for sustainable event-driven data transmission}},
  author = {Vinesh Thiruchelvam and Rajagopal Maheswar and James Deva Koresh Hezekiah and Chee Yong Lau and Chandrasekharan Nataraj},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74239-3},
  url = {https://www.nature.com/articles/s41598-026-74239-3},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - Lightweight energy efficient source-level adaptive computing framework for sustainable event-driven data transmission
AU  - Vinesh Thiruchelvam
AU  - Rajagopal Maheswar
AU  - James Deva Koresh Hezekiah
AU  - Chee Yong Lau
AU  - Chandrasekharan Nataraj
PY  - 2026
DA  - 2026/10/07
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74239-3
UR  - https://www.nature.com/articles/s41598-026-74239-3
SN  - 2045-2322
ER  -