Browsing Research Papers by Subject "CNN"

Browsing Research Papers by Subject "CNN"

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  • Classification of Vegetable Plant Pests using Deep Transfer Learning 
    Vijayakanthan, G.; Kokul, T.; Pakeerathan, S.; Pinidiyaarachchi, U.A.J. (IEEE, 2021-08)
    Sri Lankan farmers face several issues and among them crop loss due to insect pest infestation is the major hurdle. Several approaches have been proposed to detect the pest class by using computer vision and machine learning ...
  • A Comprehensive Study on Deep Image Classification with Small Datasets 
    Gayani, C.; Kokul, T.; Amalka, P. (Springer, 17-12-19)
    Convolutional Neural Networks (CNNs) showed state-of-the-art accuracyin image classification on large-scale image datasets. However, CNNs showconsiderable poor performance in classifying tiny data since their large number ...
  • Discriminative Patterns of White Matter Changes in Alzheimer's 
    Subaramya, S.; Kumaralingam, L.; Kokul, T.; Pinidiyaarachchi, U.A.J.; Nagulan, R. (Elsevier, 2023-01)
    Changes in structural connectivity of the Alzheimer's brain have not been widely studied utilizing cutting-edge methodologies. This study develops an efficient structural connectome-based convolutional neural network (CNN) ...
  • Gate connected convolutional neural network for object tracking 
    Kokul, T.; Fookes, C.; Sridharan, C.; Ramanan, A.; Pinidiyaarachchi, U.A.J. (IEEE, IEEE International Conference on Image Processing (ICIP), 17-09-17)
    Convolutional neural networks (CNNs) have been employedin visual tracking due to their rich levels of feature representation.While the learning capability of a CNN increaseswith its depth, unfortunately spatial information ...
  • A hybrid CNN-HOG based feature extraction approach for tamil handwritten village name recognition using SVM 
    Yasotha, R.; Vinusha, C.; Ramanan, M. (University of Ruhuna, 2025)
    Recognizing village names in handwritten Tamil presents a significant challenge for those working in the postal sector, due to variations in handwriting. This research aims to address this issue by developing and evaluating ...
  • A hybrid CNN-SVM model for Tamil handwritten character recognition 
    Nemitha, R.; Ramanan, M.; Yasotha, R. (Faculty of Science, University of Ruhuna, 2024)
    Recognizing offline Tamil handwriting is a very challenging task because of the complex linguistic structures used by writers, and similarities in the appearance of Tamil characters and individual differences observed in ...
  • Indian Hand Gestures Recognition Using Convolutional Neural Network 
    Shakana, M.; Vinoharan, V.; Yasotha, R. (Department of Computer Science University of Jaffna,, 2023)
    The research focuses on developing an image classification system using a modified VGG-19 neural network to translate sign language for the deaf community. Given the initial isolation of deaf and mute individuals from ...

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