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Integrated combined layer algorithm of jamming detection and classification in manet / Ahmad Yusri Dak
Published 2019“…This creates the jamming detection and classification parameters. The second stage is detecting jammers by integrating both lower layers by developing Integrated Combined Layer Algorithm (ICLA). …”
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Thesis -
2
Enhanced android malware detection framework using API application framework layer
Published 2023“…This thesis was to develop an enhanced framework to detect Android malware application using Application Framework layer components. …”
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3
Development of obstable avoidance system for 3D robot navigation
Published 2024“…In conclusion, the developed algorithm enables the robot to detect obstacles that are not on the same plane as the 2D LiDAR and cannot be detected using depth camera data.…”
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Final Year Project / Dissertation / Thesis -
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Application Of Multi-Layer Perceptron Technique To Detect And Locate The Base Of A Young Corn Plant
Published 2007“…Another structure of MLP trained using backpropagation algorithm is used to detect and locate the base of the young corn tree using the skeleton of the segmented image. …”
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5
A new intelligent multilayer framework for insider threat detection
Published 2021“…Subsequently, using the K-Nearest Neighbors algorithm, an anomaly insider threat detection algorithm has been developed. …”
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Face anti-spoofing using Convolutional Neural Networks / Siti Nurul Izzah Bahrain
Published 2024“…The model included Conv2D and MaxPooling2D layers for feature extraction, followed by a flattened layer and a dense layer with dense, dropout, and batch normalization layers. …”
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Early tube leak detection system for steam boiler at KEV power plant
Published 2023Conference Paper -
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Experimenting the dendrite cell algorithm for disease outbreak detection model
Published 2014“…The characteristics of early outbreak signal which are weak and behaved under uncertainties has brought to the development of outbreak detection model based on dendrite cell algorithm.Although the algorithm is proven can improve detection performance, it relies on several parameters which need to be defined before mining.In this study, the most appropriate parameter setting for outbreak detection using dendrite cell algorithm is examined.The experiment includes four parameters; the number of cell cycle update, the number of dendrite cell allowed to be in population, weight, and migration threshold value. …”
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Artificial neural network based fast edge detection algorithm for MRI medical images
Published 2017“…Therefore, the objective of this paper is to develop a fast ANN based edge detection algorithm for MRI medical images. …”
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Distracted driver detection with deep convolution neural networks
Published 2023“…This project aims to develop a python algorithm to detect the distracted activities while driving. …”
text::Final Year Project -
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Real-time power quality disturbance classification using convolutional neural networks
Published 2020“…Second, an efficient CNN structure was developed to extract unique features. Next, the output of CNNs was then inputted into a fully connected layer with softmax and classification layer to act as the classifier for 29 classes of PQD signals. …”
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Book Chapter -
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Fault Detection Relevant, Neural Network and Evolutionary Algorithm based Model for a Single-shaft Industrial Gas Turbine
Published 2009“…In this paper the result of an attempt to develop a substitute nonlinear model based on multilayer neural network (MLNN) and evolutionary algorithm (EA) for a single-shaft gas turbine having IGVs and VSVs is presented. …”
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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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Integrated geophysical, hydrogeochemical and artificial intelligence techniques for groundwater study in the Langat Basin, Malaysia / Mahmoud Khaki
Published 2014“…The results learned from the resistivity survey confirmed the pattern of a continuous structure of layers, as detected from the borehole and geological information. …”
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Deep learning convolutional neural network algorithms for the early detection and diagnosis of dental caries on periapical radiographs: a systematic review
Published 2021“…Identifying caries with a deep convolutional neural network-based detector enables the operator to distinguish changes in the location and morphological features of dental caries lesions. Deep learning algorithms have broader and more profound layers and are continually being developed, remarkably enhancing their precision in detecting and segmenting objects. …”
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Vehicle Detection in Deep Learning
Published 2019“…With the development of computer vision techniques and accessibility of large-scale traffic transport data, deep learning has been enabled to on-road vehicle detection algorithms. …”
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Final Year Project / Dissertation / Thesis -
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A study of progressive damage detection in thin-walled composite structures using an embedded fiber Bragg grating – acoustic emission hybrid system
Published 2019“…The algorithm was named as cross-correlation with linear source location technique (CC-LSL) impact detection algorithm.…”
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Research Report -
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Secure address resolution protocol proxy in software defined network
Published 2018“…Therefore, the proposed approach contains collecting information algorithm, ARP storm attack detection algorithm, and ARP spoofing attack detection algorithm. …”
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CNN-LSTM: hybrid deep neural network for network intrusion detection system; a case
Published 2022“…As attackers continue to develop new types of attacks and the size of networks continues to grow, the need for an effective intrusion detection system has become critical. …”
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