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Fuzzy C-Means Segmentation and Hybrid DarkNet-SVM Model for Tumor Detection in Homo Sapiens Through CT Images
The accurate detection of lung tumors is crucial due to their potential to metastasize to other body parts, posing severe risks including fatality....
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Simultaneous feature selection and SVM optimization based on fuzzy signature and chaos GOA
In machine learning models, feature selection plays a crucial role. It reduces overall data, minimizes storage requirements, and enhances algorithm...
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Performance Evaluation of Rockburst Prediction Based on PSO-SVM, HHO-SVM, and MFO-SVM Hybrid Models
Rockburst prediction is crucial in deep hard rock mines and tunnels to make safer working conditions. Due to the complex interaction of many factors...
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Secondary Pulmonary Tuberculosis Recognition by 4-Direction Varying-Distance GLCM and Fuzzy SVM
Tuberculosis (TB) is an infectious disease caused by Mycobacterium tuberculosis . Our study investigates the recognition of secondary pulmonary...
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Study on the Recognition of Driver’s Starting Intentions Based on Fuzzy Inference-SVM Cascade Algorithm
Research of the identification method on driver’s starting intention is very necessary. It can provide basis and support for subsequent vehicle...
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Fuzzy large margin distribution machine for classification
As a variant of Support Vector Machine (SVM), Large Margin Distribution Machine (LDM) has been validated to outperform SVM both theoretically and...
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Spatiotemporal LS-SVM inverse control for nonlinear distributed parameter systems with application to heating process
In actual industrial systems, numerous processes are characterized as distributed parameter systems (DPSs) that exhibit strong nonlinearity, complex...
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A granularity data method for power frequency electric and electromagnetic fields forecasting based on T–S fuzzy model
The impact of electromagnetic radiation generated by signal transmission base stations and power stations to meet the needs of communication...
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A new fuzzy support vector machine with pinball loss
The fuzzy support vector machine (FSVM) assigns each sample a fuzzy membership value based on its relevance, making it less sensitive to noise or...
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Research on electric spindle thermal error prediction model based on DBO-SVM
This article proposes an improved method to address the issue of low precision in the conventional thermal error projection model for electric...
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Target Positioning Algorithm Based on RSS Fingerprints of SVM of Fuzzy Kernel Clustering
The positioning technology based on receive signal strength (RSS) fingerprints has become one of the hottest research spots with its advantages of...
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A faster SVM classification technique for remote sensing images using reduced training samples
The support vector machine (SVM) has been used as an efficient tool in data mining tasks during the last 2 decades. It is also used for supervised...
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Water surface profile prediction in non-prismatic compound channel using support vector machine (SVM)
The process of estimating the level of water surface in two-stage waterways is a crucial aspect in the design of flood control and diversion...
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Optimizing HAR Systems: Comparative Analysis of Enhanced SVM and k-NN Classifiers
This research addresses the accuracy issues in IoT-based human activity recognition (HAR) applications, essential for health monitoring, elderly...
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A new surface roughness measurement method based on QR-SVM
In this paper, a method for detecting surface roughness in machining processes is proposed to solve the problem of low detection accuracy caused by a...
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Fault detection method for flexible DC grid based on CEEMDAN multiscale entropy and GA-SVM
Compared with the traditional AC grid, the flexible DC grid has the advantages of low wire loss and large transmission capacity, but it is difficult...
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Failure diagnosis of electro-hydraulic servo valve based on SA-PSO-SVM
The electro-hydraulic servo valve (EHSV) is a crucial element of the electro-hydraulic servo control system connecting electrical and hydraulic...
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A new intrusion detection system based on SVM–GWO algorithms for Internet of Things
Internet of Things (IoT) as an emerging technology is widely used in various applications such as remote healthcare, smart environment, and...
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Optimized forecasting of photovoltaic power generation using hybrid deep learning model based on GRU and SVM
The growing integration of renewable energy sources and the rapid increase in electricity demand have posed new challenges in terms of power quality...
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Fuzzy-Membership-Kernel Learning Based on Takagi–Sugeno Models
A new class of kernels is constructed via incorporating fuzzy information into learning to enhance the performance of kernel-based algorithms. The...
