تصفح Faculty Contributions حسب الموضوع "Classification performance"
السجلات المعروضة 1 -- 9 من 9
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1D Convolutional Neural Networks Versus Automatic Classifiers for Known LPI Radar Signals under White Gaussian Noise
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Article)In this study we analyze the signal classification performances of various classifiers for deterministic signals under the additive White Gaussian Noise (WGN) in a wide range of signal to noise ratio (SNR) levels (-40dB ... -
A Weighted Machine Learning-Based Attacks Classification to Alleviating Class Imbalance
( Institute of Electrical and Electronics Engineers Inc. , 2021 , Article)The Industrial Internet of Things (IIoT) has become very popular in recent years. However, IIoT is still an attractive and vulnerable target for attackers to exploit and experiment with different types of attacks. To ... -
Automatic signal abnormality detection using time-frequency features and machine learning: A newborn EEG seizure case study
( Elsevier B.V. , 2016 , Article)Time-frequency (TF) based machine learning methodologies can improve the design of classification systems for non-stationary signals. Using selected TF distributions (TFDs), TF feature extraction is performed on multi-channel ... -
How divided is a cell? Eigenphase nuclei for classification of mitotic phase in cancer histology images
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Conference Paper)Detection of mitotic cells in histology images is an important but challenging process due to the resemblance of mitotic cells with other non-mitotic cells and also due to the different appearance of mitotic cells undergoing ... -
Multifrequency Polsar Image Classification Using Dual-Band 1D Convolutional Neural Networks
( Institute of Electrical and Electronics Engineers Inc. , 2020 , Conference Paper)In this work, we propose a novel classification approach based on dual-band one-dimensional Convolutional Neural Networks (1D-CNNs) for classification of multifrequency polarimetric SAR (PolSAR) data. The proposed approach ... -
Performance Comparison of Learned vs. Engineered Features for Polarimetric SAR Terrain Classification
( Institute of Electrical and Electronics Engineers Inc. , 2019 , Conference Paper)In this work, we propose to use learned features for terrain classification of Polarimetric Synthetic Aperture Radar (PolSAR) images. In the proposed classification framework, the learned features are extracted from sliding ... -
Spam Detection Approach for Secure Mobile Message Communication Using Machine Learning Algorithms
( Hindawi , 2020 , Article)The spam detection is a big issue in mobile message communication due to which mobile message communication is insecure. In order to tackle this problem, an accurate and precise method is needed to detect the spam in mobile ... -
Structural damage detection in real time: Implementation of 1D convolutional neural networks for SHM applications
( Springer , 2017 , Conference Paper)Most of the classical structural damage detection systems involve two processes, feature extraction and feature classification. Usually, the feature extraction process requires large computational effort which prevent the ... -
Training Radial Basis Function Neural Networks for Classification via Class-Specific Clustering
( Institute of Electrical and Electronics Engineers Inc. , 2016 , Article)In training radial basis function neural networks (RBFNNs), the locations of Gaussian neurons are commonly determined by clustering. Training inputs can be clustered on a fully unsupervised manner (input clustering), or ...