Ушбу ишга иқтибос қилган ишлар

5 та иш

Иш: A Comprehensive Review of YOLO Architectures in Computer Vision: From YOLOv1 to YOLOv8 and YOLO-NAS

1. Early Poplar (Populus) Leaf-Based Disease Detection through Computer Vision, YOLOv8, and Contrast Stretching Technique

   Furkat Bolikulov, Akmalbek Abdusalomov, Rashid Nasimov +2

   МақолаSmart Agriculture and AISensors20242 иқтибос

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2. Object detection in real-time video surveillance using attention based transformer-YOLOv8 model

   Divya Nimma, Omaia Al-Omari, Rahul Pradhan +4

   МақолаVideo Surveillance and Tracking MethodsAlexandria Engineering Journal20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000010

3. Multi-objective deep learning for lung cancer detection in CT images: enhancements in tumor classification, localization, and diagnostic efficiency

   Abdulqader Faris Abdulqader, Shaymaa Mohammed Abdulameer, Ashok Kumar Bishoyi +10

   МақолаLung Cancer Diagnosis and TreatmentDiscover Oncology20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.000234

4. An algorithm for early detection of anemia in CNN Convolutional Neural Network

   Sayyora Iskandarova, Ayhan Istanbullu, Sanjar Omonov +3

   МақолаDigital Imaging for Blood Diseases20250 иқтибос

   ABIABI:AkademIndex/openalex/2025.article.019040

5. YOLOv9-Based Detection of Diseases in Poplar Trees Using Histogram Equalization and Computer Vision

   Fazliddin Makhmudov, Kudratjon Zohirov, Jura Kuvandikov +6

   МақолаSmart Agriculture and AISensors20260 иқтибос

   ABIABI:AkademIndex/openalex/2026.article.020377