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Multiresolution hierarchical support vector machine for classification of large datasets
Support vector machine (SVM) is a popular supervised learning algorithm based on margin maximization. It has a high training cost and does not scale...
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Estimation of voting behavior in election using support vector machine, extreme learning machine and deep learning
In this study, the extreme learning machine, support vector machine, and deep learning models were used to predict the effect on the voting behavior...
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UUV Fault Diagnosis Model Based on Support Vector Machine
Aiming at the most common power system faults in the UUV ancillary system, in order to diagnose related faults in a timely and accurate manner and...
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Modified Aquila Optimizer Feature Selection Approach and Support Vector Machine Classifier for Intrusion Detection System
With the ever-expanding ubiquity of the Internet, wireless networks have permeated every facet of modern life, escalating concerns surrounding...
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Towards improving the performance of traffic sign recognition using support vector machine based deep learning model
Nowadays autonomous vehicles are evolving due to the advancements in cutting edge technologies. In order to recognize the traffic signatures with...
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Machine Learning-Based DDoS Attack Detection Using Support Vector Machine
Intrusion and cyber-attacks are increasing drastically in today’s digital era. The cost involved in cyber security increased 600% during the COVID-19...
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A novel watermarking scheme for medical image using support vector machine and lifting wavelet transform
Digital image watermarking has become a valuable tool for preventing unauthorized use and alteration of digital images due to technological...
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An efficient method for MRI brain tumor tissue segmentation and classification using an optimized support vector machine
Brain tumors are abnormal cell growths inside the skull that damage brain cells needed for brain function. The complex structure of the human brain...
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Adaptive weighted kernel support vector machine-based circle search approach for intrusion detection in IoT environments
Nowadays, the Internet of Things (IoT) is considered a globally implemented technology in automated network structures. However, the procedures...
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Deep feature-support vector machine based hybrid model for multi-crop leaf disease identification in Corn, Rice, and Wheat
Corn, Rice, and Wheat serve as primary staple foods globally, playing a pivotal role in the economies of numerous countries. Despite their paramount...
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Sparse discriminant twin support vector machine for binary classification
For a binary classification problem, twin support vector machine (TSVM) has a faster learning speed than support vector machine (SVM) by seeking a...
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A novel intrusion detection system based on a hybrid quantum support vector machine and improved Grey Wolf optimizer
The Internet of Things (IoT) has grown significantly in recent years, allowing devices with sensors to share data via the internet. Despite the...
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Federated Twin Support Vector Machine
TSVM is designed to solve binary classification problems with less computational overhead by finding two hyperplanes and has been widely used to...
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GOSVM: Gannet optimization based support vector machine for malicious attack detection in cloud environment
Cloud computing is the most useful computing technology for the new service progression. Due to the distributed nature of cloud computing, security...
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Support vector machine classification over encrypted data
Support vector machine is one of the most extensively used machine learning algorithms. A typical application scenario of support vector machine...
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Estimation of Electric Arc Furnace Parameters Using Least-Square Support Vector Machine
Electric arc furnace (EAF) serves as a major contributor for the global industrialization due to its wide versed application for manufacturing of...
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OISVM: Optimal Incremental Support Vector Machine-based EEG Classification for Brain-computer Interface Model
The brain-computer interface (BCI) is a field of computer science where users can interact with devices in terms of brain signals. The brain signals...
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A non-convex robust small sphere and large margin support vector machine for imbalanced data classification
Small sphere and large margin support vector machine (SSLM) is an effective method for imbalanced data classification. However, the hinge loss used...
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Semi-supervised sparse least squares support vector machine based on Mahalanobis distance
To reflect the similarity of input samples and improve the sparsity of semi-supervised least squares support vector machine (SLSSVM), a novel...
