Skip to content
DraconiticResearch
Search Sources API
186,546 studies31 sourcesUpdated 56 min ago
Peer-reviewedCC BY-NC-ND 4.0Scientific Reports

A MATLAB-based AI-IoT simulation framework for LSTM-driven smart solar irrigation and renewable energy management

  • Ahmed Mashaly
  • Ragab A. El-Sehiemy
  • Mohamed Elgohary
Open at sourcePDFDOICite

Related

  1. Predicting forage yield and water use efficiency using machine learning across diverse forage species under varying irrigation and fertilizer management in the Ethiopian highlands
    Misbah A. Hussein, Fikadu T. Riga, Aschalew K. Tebeje +3
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Plant biologyCrossref
  2. An embedded deep learning–fuzzy logic framework for intelligent and automated irrigation in smart farming
    Ze Luo, Zhuo Yang, Yi Hu +1
    Scientific ReportsPeer-reviewedCC BY-NC-ND 4.0Full textPlant biologyCrossref
  3. SPLATCHE2: a spatially explicit simulation framework for complex demography, genetic admixture and recombination
    Nicolas Ray, Mathias Currat, Matthieu Foll +1
    BioinformaticsPeer-reviewedLicence not stated124 citedGenetics & genomicsHAL
  4. HRV-GUI: A MATLAB Graphical User Interface for Heart Rate Variability Analysis and Validation Using Human, Rodent, and Clinical Diabetic Gastroparesis Data
    M. K. Ali, J. D. Chen
    bioRxivPreprintCC BY-NC-NDFull textSystems & synthetic biologybioRxiv
  5. Hybrid epidemic simulation framework coupling equation-based and individual-based models
    Jaeyoung Kwak, Michael H. Lees, Chin Chun Ooi +1
    arXivPreprintCC BY 4.0Full textEvolutionary biologyStatistical & nonlinear physicsarXiv

Cite

BibTeXRIS
BibTeX
@article{mashaly2026matlabbased,
  title = {{A MATLAB-based AI-IoT simulation framework for LSTM-driven smart solar irrigation and renewable energy management}},
  author = {Ahmed Mashaly and Ragab A. El-Sehiemy and Mohamed Elgohary},
  journal = {Scientific Reports},
  year = {2026},
  month = oct,
  doi = {10.1038/s41598-026-74935-0},
  url = {https://www.nature.com/articles/s41598-026-74935-0},
  note = {CC BY-NC-ND 4.0},
}
RIS
TY  - JOUR
TI  - A MATLAB-based AI-IoT simulation framework for LSTM-driven smart solar irrigation and renewable energy management
AU  - Ahmed Mashaly
AU  - Ragab A. El-Sehiemy
AU  - Mohamed Elgohary
PY  - 2026
DA  - 2026/10/12
JO  - Scientific Reports
DO  - 10.1038/s41598-026-74935-0
UR  - https://www.nature.com/articles/s41598-026-74935-0
SN  - 2045-2322
ER  -