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Работы, цитирующие эту работу

Работ: 23

Работа: ImageNet classification with deep convolutional neural networks

  1. An Improvement of the Fire Detection and Classification Method Using YOLOv3 for Surveillance Systems

    Akmalbek Abdusalomov, Nodirbek Baratov, Alpamis Kutlimuratov +1

    СтатьяFire Detection and Safety SystemsSensors2021Цитирований: 18
    ABI

  2. Accelerated Training for Convolutional Neural Networks

    Muhammadjon Musaev, Mekhriddin Rakhimov

    СтатьяHandwritten Text Recognition Techniques2020 International Conference on Information Science and Communications Technologies (ICISCT)2020Цитирований: 15
    ABI

  3. A framework utilizing deep learning techniques for the detection and classification of breast cancerous cells in mammographic images

    Shavkat Fazilov, Khabiba Abdieva, O.R. Yusupov +2

    СтатьяAI in cancer detectionAIP conference proceedings2024Цитирований: 13
    ABI

  4. Efficient image classification through collaborative knowledge distillation: A novel AlexNet modification approach

    Avazov Kuldashboy, Sabina Umirzakova, Sharofiddin Allaberdiev +3

    СтатьяAdvanced Neural Network ApplicationsHeliyon2024Цитирований: 11
    ABI

  5. An Improved Wildfire Smoke Detection Based on YOLOv8 and UAV Images

    Saydirasulov Norkobil Saydirasulovich, Mukhriddin Mukhiddinov, Oybek Djuraev +2

    СтатьяFire Detection and Safety SystemsSensors2023Цитирований: 8
    ABI

  6. Neural networks for medical image segmentation

    Sobirdjon Radjabov, Akhmad Khashimov, Elmurod Urinov +1

    СтатьяMedical Image Segmentation Techniques2021 International Conference on Information Science and Communications Technologies (ICISCT)2021Цитирований: 8
    ABI

  7. Improved Face Detection Method via Learning Small Faces on Hard Images Based on a Deep Learning Approach

    Dilnoza Mamieva, Akmalbek Abdusalomov, Mukhriddin Mukhiddinov +1

    СтатьяFace recognition and analysisSensors2023Цитирований: 7
    ABI

  8. Automatic Classification and Diagnostic Analysis of Microscopic Blood Images Using R CNN Model

    Fotima Tulaganova, Sanjar Omonov, Abdulaziz Xo'jamqulov

    СтатьяBrain Tumor Detection and Classification2024Цитирований: 6
    ABI

  9. Parking Lot Occupancy Detection with Improved MobileNetV3

    Yusufbek Yuldashev, Mukhriddin Mukhiddinov, Akmalbek Abdusalomov +2

    СтатьяSmart Parking Systems ResearchSensors2023Цитирований: 5
    ABI

  10. Lung Infection Segmentation for COVID‐19 Pneumonia Based on a Cascade Convolutional Network from CT Images

    Ramin Ranjbarzadeh, Saeid Jafarzadeh Ghoushchi, Malika Bendechache +5

    СтатьяCOVID-19 diagnosis using AIBioMed Research International2021Цитирований: 2
    ABI

  11. 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
    ABI

  12. Enhancing Speech Emotion Recognition Using Dual Feature Extraction Encoders

    Ilkhomjon Pulatov, Rashid Oteniyazov, Fazliddin Makhmudov +1

    СтатьяEmotion and Mood RecognitionSensors2023Цитирований: 1
    ABI

  13. Enhanced AlexNet with Gabor and Local Binary Pattern Features for Improved Facial Emotion Recognition

    Furkat Safarov, Alpamis Kutlimuratov, Ugiloy Khojamuratova +2

    СтатьяEmotion and Mood RecognitionSensors2025Цитирований: 1
    ABI

  14. Object Extraction-Based Comprehensive Ship Dataset Creation to Improve Ship Fire Detection

    Farkhod Akhmedov, Sanjar Mukhamadiev, Akmalbek Abdusalomov +1

    СтатьяFire Detection and Safety SystemsFire2024Цитирований: 1
    ABI

  15. A multivariate binary decision tree classifier based on shallow neural network

    A.R. Marakhimov, J.K. Kudaybergenov, Kabul Khudaybergenov +1

    СтатьяNeural Networks and ApplicationsScientific and technical journal of information technologies mechanics and optics2022Цитирований: 1
    ABI

  16. What's in the box? Explaining the black-box model through an evaluation of its interpretable features

    Francesco Ventura, Tania Cerquitelli

    ПрепринтExplainable Artificial Intelligence (XAI)arXiv (Cornell University)2019Цитирований: 0
    ABI

  17. The RGB-D Triathlon: Towards Agile Visual Toolboxes for Robots

    Fabio Cermelli, Massimiliano Mancini, Elisa Ricci +1

    ПрепринтAdvanced Neural Network Applications2019Цитирований: 0
    ABI

  18. Learning mappings onto regularized latent spaces for biometric authentication

    Matteo Testa, Arslan Ali, Tiziano Bianchi +1

    ПрепринтBiometric Identification and SecurityarXiv (Cornell University)2019Цитирований: 0
    ABI

  19. Domain-Adversarial Training of Self-Attention-Based Networks for Land Cover Classification Using Multi-Temporal Sentinel-2 Satellite Imagery

    Mauro Martini, Vittorio Mazzia, Aleem Khaliq +1

    ПрепринтRemote Sensing in AgricultureRemote Sensing2021Цитирований: 0
    ABI

  20. A brief history of AI: how to prevent another winter (a critical review)

    Amirhosein Toosi, A. Bottino, Babak Saboury +2

    ПрепринтExplainable Artificial Intelligence (XAI)arXiv (Cornell University)2021Цитирований: 0
    ABI

  21. Development of Intelligent Algorithms for Interpretation of Images of the Remote Image of the Earth

    Muhamediyeva Dilnoz Tulkinovna, Tukhtamuradov Nozir

    СтатьяAdvanced Data Processing Techniques2022Цитирований: 0
    ABI

  22. CURRENT ISSUES OF THE USE OF ARTIFICIAL INTELLIGENCE IN THE ACTIVITIES OF CUSTOMS AUTHORITIES

    Jasur Sevinov, Gayrat Rustamovich Khamroev

    СтатьяLegal and Policy IssuesHimičeskaâ tehnologiâ. Kontrolʹ i upravlenie/Chemical Technology. Control and Management2023Цитирований: 0
    ABI

  23. Brain tumor classification by CNN

    Hwunjae Lee, Giljae Lee, Gippeum Park +2

    СтатьяBrain Tumor Detection and ClassificationJournal of Medical Imaging2023Цитирований: 0
    ABI