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Development of seven segment display recognition using TensorFlow on Raspberry Pi
Published 2022“…The design of hardware, software, and algorithms will be discussed. SSD-MobileNet will be used for subsequent experiments, out of the two architectures evaluated, Tiny YOLO and SSD-MobileNet. …”
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Proceeding Paper -
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Diabetic Retinopathy Detection Model using Hybrid of U-Net and Vision Transformer Algorithms
Published 2024“…The total integration offers a robust model which helps in detecting various stages of diabetic retinopathy. We leverage the use of U-Net algorithm in image segmentation process to delineate the regions of interest in retinal images. …”
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Article -
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DEVELOPMENT OF DRIVER DROWSINESS DETECTION ALGORITHM
Published 2022“…To contribute to the existing works of driver drowsiness detection systems, this project aims to develop a more useful drowsiness detection algorithm with low complexity and high performance using Python 3.10.1 software. …”
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Final Year Project Report / IMRAD -
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On the combination of adaptive neuro-fuzzy inference system and deep residual network for improving detection rates on intrusion detection
Published 2022“…To alleviate this problem, we proposed a method that combines the Adaptive Neuro-fuzzy Inference System (ANFIS) and the ResNet algorithm. This method can make use of the advantages of both the ANFIS and ResNet, and alleviate the overfitting problem of ResNet. …”
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Article -
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RSA Encryption & Decryption using JAVA
Published 2006“…References and theories to support the research of 'RSA Encryption/Decryption using Java' have been disclosed in Literature Review section. …”
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Final Year Project -
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Provider independent cryptographic tools
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Monograph -
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Signal detection algorithm for cognitive radio using singular value decomposition
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Conference or Workshop Item -
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Spatial Signature Algorithm (SSA): A New Approach In Countermeasuring XML Signature Wrapping Attack
Published 2024journal::journal article -
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Multi-method diagnosis of CT images for rapid detection of intracranial hemorrhages based on deep and hybrid learning
Published 2022“…The third proposed system uses artificial neural networks (ANNs) based on the features of the GoogLeNet, ResNet-50 and AlexNet models, whose dimensions are reduced by a principal component analysis (PCA) algorithm, and then the low-dimensional features are combined with the features of the GLCM and LBP algorithms. …”
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Predicting pneumonia and region detection from X-Ray images using deep neural network
Published 2021“…The algorithm is based on the transfer learning mechanism where pretrained ResNet-50 (Convolutional Neural Network) was used followed by some custom layer for making the prediction. …”
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Deep learning-based breast cancer detection and classification using histopathology images / Ghulam Murtaza
Published 2021“…The trained EBrC-Net is used to extract discriminative features. …”
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Thesis -
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Improving intrusion detection using genetic algorithm
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Article -
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Fire Detection Algorithm using Image Processing Techniques
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Conference or Workshop Item -
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Mobile machine vision for railway surveillance system using deep learning algorithm
Published 2021“…Object classification model is produced through the model training with Deep Neural Networks (DNN). The detection model used in this paper is Single-Shot multibox Detection (SSD) MobileNet detection model. …”
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Proceedings -
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Power line corridor vegetation encroachment detection from satellite images using retinanet and support vector machine
Published 2023“…The SVM algorithm has been used to detect high- and low-density vegetation regions from the extracted ROI. …”
text::Thesis -
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Paddy Plant (Oryza Sativa) Disease Detection Based On Improved Convolution Neural Network
Published 2023“…Some existing methods, for example, GoogleNet, InceptionNet and VGGNet are used to detect paddy diseases. …”
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Final Year Project Report / IMRAD -
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Application of Fuzzy C-Means with YCbCr and DenseNet-201 for Automated Corn Leaf Disease Detection
Published 2021“…This is due to instability and complexity of the network. Hence, algorithm that performed better is required. Thus, in this study, image segmentation method of Fuzzy C-Means with YCbCr and image classification method of DenseNet-201 to detect plant leaf diseases is proposed. …”
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