Ushbu ishga iqtibos qilgan ishlar

5 ta ish

Ish: A pragmatic and reproducible framework for real-time ore sorting in open-pit mining using a lightweight edge-deployed YOLO model

1. A Reproducible Deep Learning Framework for Small-Scale Educational Data: Privacy-Preserving Augmentation and Adaptive Modeling with Interpretability

   Hakimeh Dustmohammadloo, Samira Tajdar, Rauf Rakhmonov +4

   MaqolaOnline Learning and AnalyticsSN Computer Science20260 iqtibos

   ABIABI:AkademIndex/2026.article.021107

2. ST-GeoNet: a spatio-temporal attention network for interpretable factor of safety prediction in open-pit oil sands slopes

   Khayitov Odiljon, Baymirzaev Bakhtiyor, Saidova Lola +7

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.044399

3. Digital-Twin and IoT-Enabled Closed-Loop Dispatch for Dynamic Ore-Grade Blending in Open-Pit Mining

   Учқун Худайназаругли Эшонқулов, Azamat Umirzoqov, Aidar Kuttybayev +7

   Maqola20260 iqtibos

   ABIABI:AkademIndex/2026.article.046121

4. Reinforcement learning–enhanced population-based multi-objective ore blending with iot-observed grade uncertainty in open-pit mines

   Azamat Umirzoqov, Shokhjakhon Abdufattokhov, Ryumduk Oh +8

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.050414

5. Investigation of rock-mass fragmentation by explosive charges using interpretable machine learning and literature-derived air-deck and related decked-charge blasting data

   Shuhratulla Ochilov, Bahrom Urunov, Azamat Umirzoqov +7

   MaqolaOAOchiq kirish20260 iqtibos

   ABIABI:AkademIndex/2026.article.117704