Plastic-optical-fiber-enabled smart glove for machine-learning-based gesture recognition
Gesture recognition has always been an important research direction in the field of human–
computer interaction. In this article, a wearable gesture recognition system based on a D …
computer interaction. In this article, a wearable gesture recognition system based on a D …
An adaptive Gaussian kernel for support vector machine
The most commonly used kernel function of support vector machine (SVM) in nonlinear
separable dataset in machine learning is Gaussian kernel, also known as radial basis …
separable dataset in machine learning is Gaussian kernel, also known as radial basis …
Dynamic intelligent risk assessment of hazardous chemical warehouse fire based on electrostatic discharge method and improved support vector machine
Y Li, H Wang, K Bai, S Chen - Process Safety and Environmental Protection, 2021 - Elsevier
Chemical accidents occur frequently in China owing to inadequate process safety risk
management and control in warehouses. Real-time dynamic risk assessment can identify …
management and control in warehouses. Real-time dynamic risk assessment can identify …
Improving the SVDD approach to hyperspectral image classification
In recent studies, the support vector data description (SVDD) has been successfully applied
to the classification of hyperspectral images. However, there is a major problem with this …
to the classification of hyperspectral images. However, there is a major problem with this …
Automated classification of stems and leaves of potted plants based on point cloud data
Z Liu, Q Zhang, P Wang, Z Li, H Wang - biosystems engineering, 2020 - Elsevier
Highlights•An automated leaf-stem classification method was proposed based on point
cloud data.•The 3D convex hull algorithm was used to select leaf sample points …
cloud data.•The 3D convex hull algorithm was used to select leaf sample points …
A hybrid feature selection method using multiclass SVM for diagnosis of erythemato-squamous disease
M Maryam, NA Setiawan… - AIP Conference …, 2017 - pubs.aip.org
The diagnosis of erythemato-squamous disease is a complex problem and difficult to detect
in dermatology. Besides that, it is a major cause of skin cancer. Data mining implementation …
in dermatology. Besides that, it is a major cause of skin cancer. Data mining implementation …
Penerapan Bootstrapping untuk Ketidakseimbangan Kelas dan Weighted Information Gain untuk Feature Selection pada Algoritma Support Vector Machine untuk …
Prediksi loyalitas pelanggan merupakan sebuah strategi bisnis yang penting bagi industri
telekomunikasi modern untuk memenangkan persaingan global, karena untuk …
telekomunikasi modern untuk memenangkan persaingan global, karena untuk …
Granular support vector machine based on mixed measure
W Wenjian, G Husheng, J Yuanfeng, B Jingye - Neurocomputing, 2013 - Elsevier
This paper presents a granular support vector machine learning model based on mixed
measure, namely M_GSVM, to solve the model error problem produced by mapping …
measure, namely M_GSVM, to solve the model error problem produced by mapping …
Combining support vector machine with radial basis function kernel and information gain for sentiment analysis of movie reviews
A movie review can be considered as an essential data source for both movie producers
and potential consumers. The reviews are usually used as a benchmark for knowing the …
and potential consumers. The reviews are usually used as a benchmark for knowing the …