Работы, цитирующие эту работу

Работ: 5

Работа: Perspectives of deep learning based satellite imagery analysis and efficient training of the U-Net architecture for land-use classification

1. Improved Agricultural Field Segmentation in Satellite Imagery Using TL-ResUNet Architecture

   Furkat Safarov, Kuchkorov Temurbek, Djumanov Jamoljon +4

   СтатьяRemote-Sensing Image ClassificationSensors2022Цитирований: 8

   ABIABI:AkademIndex/openalex/2026.other.021215

2. Agro-field Boundary Detection using Mask R-CNN from Satellite and Aerial Images

   Temurbek Kuchkorov, Temur Ochilov, Elyor Gaybulloev +2

   СтатьяSmart Agriculture and AI2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 4

   ABIABI:AkademIndex/openalex/2026.other.061190

3. Traffic and road sign recognition using deep convolutional neural network

   Temurbek Kuchkorov, Jamshid Khamzaev, Zamira Allamuratova +1

   СтатьяVehicle License Plate Recognition2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 3

   ABIABI:AkademIndex/openalex/2021.article.000735

4. Gastric Ulcer Detection in Endoscopic Images Using MobileNetV3-Small

   Temurbek Kuchkorov, N. Q. Sabitova, Temur Ochilov

   ГлаваGastrointestinal Bleeding Diagnosis and TreatmentLecture notes in computer science2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.chapter.000177

5. Satellite Imagery Super Resolution Using Classical and Deep Learning Algorithms

   Temurbek Kuchkorov, J. X. Djumanov, Temur Ochilov +1

   ГлаваAdvanced Image Processing TechniquesLecture notes in computer science2024Цитирований: 0

   ABIABI:AkademIndex/openalex/2024.chapter.000232