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Работы, цитирующие эту работу

Работ: 9

Работа: Swin Transformer: Hierarchical Vision Transformer using Shifted Windows

  1. Dehazing Algorithm Integration with YOLO-v10 for Ship Fire Detection

    Farkhod Akhmedov, Rashid Nasimov, Akmalbek Abdusalomov

    СтатьяFire Detection and Safety SystemsFire2024Цитирований: 7
    ABI

  2. From Anatomy to Genomics Using a Multi-Task Deep Learning Approach for Comprehensive Glioma Profiling

    Akmalbek Abdusalomov, Sabina Umirzakova, Obidjon Bekmirzaev +6

    СтатьяGlioma Diagnosis and TreatmentBioengineering2025Цитирований: 4
    ABI

  3. Enhancing Medical Image Segmentation and Classification Using a Fuzzy-Driven Method

    Akmal Abduvaitov, Abror Shavkatovich Buriboev, Djamshid Sultanov +4

    СтатьяCOVID-19 diagnosis using AISensors2025Цитирований: 1
    ABI

  4. A transfer learning-based fine-tuned ResNet-50 model for scene classification

    O.R. Yusupov, Yigitali Khandamov, Erali Eshonqulov +2

    СтатьяAdvanced Neural Network ApplicationsAIP conference proceedings2025Цитирований: 1
    ABI

  5. Comparative Analysis of Vision Transformer Models for Facial Emotion Recognition Using Augmented Balanced Datasets

    Sukhrob Bobojanov, Byeong Man Kim, Mukhriddin Arabboev +1

    СтатьяBrain Tumor Detection and ClassificationApplied Sciences2023Цитирований: 0
    ABI

  6. TabNet and TabTransformer: Novel Deep Learning Models for Chemical Toxicity Prediction in Comparison With Machine Learning

    Firas Mahmood Mustafa, Ali Fawzi Al‐Hussainy, Hardik Doshi +10

    СтатьяComputational Drug Discovery MethodsJournal of Applied Toxicology2025Цитирований: 0
    ABI

  7. A Hybrid Swin Transformer and MLP-Mixer Approach for Automated Ear Disease Diagnosis from Otoscopic Images

    Furkancan Demircan, Zafer Cömert, Alper Talha Karadeniz +1

    СтатьяVehicle License Plate Recognition2025Цитирований: 0
    ABI

  8. CDGL–YOLOv11Lite: A Lightweight Field Maize–Seedling Weed Detector Based on Cross-Domain Shared Attention and a Conditional Gated Linear Unit

    Meiqi Zhong, Linjing Wei, Jianzhou Lu +4

    СтатьяSmart Agriculture and AI2025Цитирований: 0
    ABI

  9. Real-Time Polyp Detection and Classification in Colonoscopy Videos Using Lightweight Transformer Networks

    Chandan Kumar Jha, Deepak Gupta, Pallavi Jha +3

    СтатьяColorectal Cancer Screening and Detection2025Цитирований: 0
    ABI