Search Results - (( generation classifications using algorithm ) OR ( binary classification using algorithm ))

Formulation of invariants for discrete orthogonal moments and image classification / Pee Chih Yang by Pee, Chih Yang

“…Due to the complexity of hypergeometric functions, existing invariant algorithms are slow. In addition, some of the features have poor classification performance and are highly sensitive to the noise. …”
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An enhanced soft set data reduction using decision partition order technique by Mohammed, Mohammed Adam Taheir

“…Also, the accuracy of original soft-set optimal and sub-optimal results have been improved using an intelligent SSR-BPSO-BBO algorithm. The computational cost of search domain (space) has been enhanced using proposed Markov Chain Model.…”
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A novel performance metric for building an optimized classifier by Hossin, Mohammad, Sulaiman, Md. Nasir, Mustapha, Aida, Mustapha, Norwati

“…Results: In this study, we demonstrate that the OARP metric is theoretically better than the accuracy metric using four generated examples. We also demonstrate empirically that a naïve stochastic classification algorithm, which is Monte Carlo Sampling (MCS) algorithm trained with the OARP metric, is able to obtain better predictive results than the one trained with the conventional accuracy metric. …”
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Face recognition for varying illumination and different optical zoom using a combination of binary and geometric features by Khalid, Fatimah, Amjeed, Noor, O.K. Wirza, Rahmita Wirza, Madzin, Hizmawati, Azizan, Illiana

“…The proposed method consists of five main stages, starting with eye area detection using the developed Viola-Jones algorithm. Next, the iris is detected using the Circular Hough Transform (CHT) method and will convert it into binary using the proposed Columnar Binary Conversion (CBC) method to preserve the appearance of the facial features under the illumination variation. …”
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Image classification based on sparse-coded features using sparse coding technique for aerial imagery: a hybrid dictionary approach by Qayyum A., Saeed Malik A., Saad N.M., Iqbal M., Abdullah M.F., Rasheed W., Abdullah T.A.B.R., Bin Jafaar M.Y.

A Novel Performance Metric for Building an Optimized Classifier by Hossin, M., Sulaiman, M.N, Mustapha, A., Mustapha , N.

“…Results: In this study, we demonstrate that the OARP metric is theoretically better than the accuracy metric using four generated examples. We also demonstrate empirically that a naïve stochastic classification algorithm, which is Monte Carlo Sampling (MCS) algorithm trained with the OARP metric, is able to obtain better predictive results than the one trained with the conventional accuracy metric. …”
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Class binarization with self-adaptive algorithm to improve human activity recognition by Zainudin, Muhammad Noorazlan Shah

“…Therefore, feature selection using Relief-f with self-adaptive Differential Evolution (rsaDE) algorithm is proposed to select the most significant features. …”
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Enhanced AI-based anomaly detection method in the intrusion detection system (IDS) / Kayvan Atefi by Atefi, Kayvan

“…This strategy includes a number of components that are a novel approach to clustering generation. In fact a data clustering method is proposed consisting of separate outputs: (i) To select a relevant subset of original features based on our proposed algorithm; which is Enhanced Binary Particle swarm Optimization (EBPSO), (ii) To mine data using various data chunks (windows) and overcome a failure of single clustering. …”
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Deep learning for EEG data analysis by Cheah, Kit Hwa

“…The convolutional neural network (CNN) model constructed in this project has achieved a validation accuracy of 75±1% using the same EEG dataset. Using the top performing CNN architectures, short duration of relaxing music listening is found to affect the EEG signals generated by the frontal lobe more than the other lobes of the brain; and also to affect the EEG generated by the left cerebral hemisphere more than the right hemisphere.…”
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Enhancement of new smooth support vector machines for classification problems by Santi Wulan, Purnami

“…The results of this study showed that MKS-SSVM was effective to diagnose medical dataset and this is promising results compared to the previously reported results. SSVM algorithms are developed for binary classification. …”
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The development of virtual product life cycle design tool using artificial intelligence technique by Harun, Habibollah, Ismail @ Ishak, Hasrul Haidar, Sukimin, Zuraini

“…The identification of the geometric entities assists us in identifying the features of the 3D object. The generated features from code classification algorithm give the information of machining parameter through the mapping algorithm. …”
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A Comparative Performance Analysis of Malware Detection Algorithms Based on Various Texture Features and Classifiers by Ahmed I.T., Hammad B.T., Jamil N.

Finger Vein Recognition Using Pattern Map As Feature Extraction by Teoh, Saw Beng

“…Finally, nearest neighbour classifier with Euclidean distance metrics is used for classification. The main contribution of this thesis is the new way of generating pattern templates, which selects small blocks from every class within an area of constraint. …”
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Effective Deep Features for Image Splicing Detection by Ahmed I.T., Hammad B.T., Jamil N.

A COMBINED HISTOGRAM OF ORIENTED GRADIENTS AND COMPLETED LOCAL BINARY PATTERN METHODS FOR PEOPLE COUNTING IN A DENSE CROWD SCENARIO by PARDIANSYAH, INDRATNO

“…The two features are then fused together to generate a cumulative feature vectors. Support Vector Machine (SVM) is used to perform classification of the fusion features to people from a mixture of objects. …”
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A Spectrogram Image-Based Network Anomaly Detection System Using Deep Convolutional Neural Network by Adnan Shahid, Khan, ZEESHAN, AHMAD, JOHARI, ABDULLAH, FARHAN, AHMAD

“…To test the efficiency of our proposed solution, we evaluated it using the CIC-IDS2017 dataset. The experimental results have shown about 2.5% − 4% improvement in accurately detecting intrusions compared to other deep learning (DL) algorithms while at the same time reducing the FAR by 4.3%−6.7% considering binary classification scenario. …”
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Enhanced Multi-Objective Grey Wolf Optimizer with Lévy Flight and Mutation Operators for Feature Selection by Al-Tashi, Q., Shami, T.M., Abdulkadir, S.J., Akhir, E.A.P., Alwadain, A., Alhussain, H., Alqushaibi, A., Rais, H.M.D., Muneer, A., Saad, M.B., Wu, J., Mirjalili, S.

“…The mutation operator is integrated to add more informative features that can assist in enhancing classification accuracy. As feature selection is a binary problem, the continuous search space is converted into a binary space using the sigmoid function. …”
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Behavior Recognition In Video Surveillance System For Indoor Public Areas Using Artificial Immune System by Abad, Azad

“…Artificial intelligence systems are widely used to extract and analyze the complicated human actions through logical and mathematical rules. …”
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Enhanced Adaptive Neuro-Fuzzy Inference System Classification Method for Intrusion Detection by Jia, Liu

“…To address this problem, this study first uses CART (Classification and Regression Tree) to enhance the depth of ANFIS, providing a deeper and interpretable hybrid architecture. …”
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Adaptive Selection Of KLSE Stocks Using Neural Networks by Kok, Chee Foong

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