Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach

Yuldashev, S.U., Юлдашев, С.У.

Ҳисоблаш ва амалий математика муаммолари · 2025-yil

Annotatsiya

This study investigates the classification of rooftop shapes using convolutional neural networks (CNNs), with a particular focus on regional adaptation through transfer learning. Initial training of the AlexNet architecture utilizes a publicly available Zenodo dataset comprising satellite imagery of flat, gabled, and hipped roofs. To address generalizability constraints in specific geographic contexts, a custom dataset of Uzbekistan rooftops, sourced from OpenStreetMap and high-resolution Mapbox Static Images API tiles, enables fine-tuning. Experimental outcomes reveal enhanced classification accuracy for flat, gabled, and hipped roofs, underscoring the efficacy of transfer learning in mitigating domain shift due to architectural and environmental variations. Integration of open-source geospatial tools with transfer learning offers a replicable framework for addressing geographic bias in rooftop shape classification, adaptable to other underrepresented regions.

Maqola ma’lumotlari
MualliflarYuldashev, S.U., Юлдашев, С.У.
JurnalҲисоблаш ва амалий математика муаммолари
NashriyotТошкент ахборот технологиялари университети қошидаги, Ахборот-коммуникация технологиялари илмий-инновацион, маркази
ISSN2181-8460, 2181-046X
Nashr sanasi2025-07-27
Son3
Betlar133-146
TilIngliz
Ilmiy sohaTexnika
DOI10.71310/pcam.3_67.2025.12
Indeksga qo‘shilgan2026-08-27

DOI: 10.71310/pcam.3_67.2025.12 · Maqolaning asl sahifasi

Kalit so‘zlar

roof shape classification, convolutional neural networks, transfer learning, AlexNet, satellite imagery, классификация форм крыш, сверточные нейронные сети, трансферное обучение, AlexNet, спутниковые снимки

Ilmiy soha

Texnika

Iqtibos keltirish

APAYuldashev, S.U., & Юлдашев, С.У. (2025). Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach. Ҳисоблаш ва амалий математика муаммолари, (3), 133-146. https://doi.org/10.71310/pcam.3_67.2025.12
GOST (OAK)Yuldashev, S.U., Юлдашев, С.У. Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach // Ҳисоблаш ва амалий математика муаммолари. – 2025. – № 3. – P. 133-146. – DOI: 10.71310/pcam.3_67.2025.12.
MLAYuldashev, S.U., and Юлдашев, С.У. “Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach.” Ҳисоблаш ва амалий математика муаммолари, (3), 133-146, 2025. https://doi.org/10.71310/pcam.3_67.2025.12
ChicagoYuldashev, S.U., and Юлдашев, С.У. “Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach.” Ҳисоблаш ва амалий математика муаммолари, (3), 133-146 (2025). https://doi.org/10.71310/pcam.3_67.2025.12
HarvardYuldashev, S.U., and Юлдашев, С.У (2025) ‘Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach’, Ҳисоблаш ва амалий математика муаммолари, (3), 133-146. https://doi.org/10.71310/pcam.3_67.2025.12
BibTeX
@article{yuldashevsu2025,
  title = {Fine-Tuned AlexNet for Roof Shape Classification in Uzbekistan: a Transfer Learning Approach},
  author = {Yuldashev, S.U. and Юлдашев, С.У.},
  journal = {Ҳисоблаш ва амалий математика муаммолари},
  year = {2025},
  number = {3},
  pages = {133-146},
  doi = {10.71310/pcam.3_67.2025.12},
  url = {https://doi.org/10.71310/pcam.3_67.2025.12}
}

Boshqa maqola uchun iqtibos tayyorlash

Ҳисоблаш ва амалий математика муаммолари jurnalidan boshqa maqolalar

Ҳисоблаш ва амалий математика муаммолари — barcha maqolalar · 2025-yil arxivi

Texnika sohasidagi boshqa maqolalar

Texnika sohasidagi OAK jurnallari