Перейти к основному содержанию
AkademIndex

Продукты

Для разработчиков

AkademBaseОткрытый API экосистемы
← Назад к работе

Работы, цитирующие эту работу

Работ: 5

Работа: Efficient CNN Accelerator with FPGA for eye disorders Prediction

  1. Efficient Traffic Density Prediction Using EfficientNetB3 and YOLOv8 Models

    R.P. Vasanthi, C. Anusuya, Abrayev Bakhrom +4

    СтатьяTraffic Prediction and Management Techniques2026Цитирований: 0
    ABI

  2. Efficient Prediction of Real vs Fake Face using Transfer Learning and Deep Learning

    Dasari Yugandhar, L.Saravanan, Abrayev Bakhrom +3

    СтатьяFace recognition and analysis2026Цитирований: 0
    ABI

  3. Predicting Side Effects of Drug Reactions Using Machine Learning and Graph Neural Network

    V. Rekha, B. Syed Moinuddin Bokhari, Erkin Kholiyarov +4

    СтатьяPharmacovigilance and Adverse Drug Reactions2026Цитирований: 0
    ABI

  4. Wearable Device for Heart Disease Prediction by Machine Learning for Remote Care

    Ashok Kumar Konduru, Aldo Tenis A, Jakhongir Norqulov +4

    СтатьяArtificial Intelligence in Healthcare2026Цитирований: 0
    ABI

  5. Efficient prediction of Lung disease using Transfer learning and VGG16 deep learning model

    Vishal Kumar, P Karthik Reddy, Jakhongir Norkulov +4

    СтатьяCOVID-19 diagnosis using AI2026Цитирований: 0
    ABI