Работы, цитирующие эту работу

Работ: 5

Работа: 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

   СтатьяSmart Agriculture and AISensors2024Цитирований: 2

   ABIABI:AkademIndex/openalex/2024.article.000766

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

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

   СтатьяVideo Surveillance and Tracking MethodsAlexandria Engineering Journal2025Цитирований: 0

   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

   СтатьяLung Cancer Diagnosis and TreatmentDiscover Oncology2025Цитирований: 0

   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

   СтатьяDigital Imaging for Blood Diseases2025Цитирований: 0

   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

   СтатьяSmart Agriculture and AISensors2026Цитирований: 0

   ABIABI:AkademIndex/openalex/2026.article.020377