Hybrid feature extraction techniques for microscopic hepatic fibrosis classification
Sign Up to like & getrecommendations! Published in 2018 at "Microscopy Research and Technique"
DOI: 10.1002/jemt.22985
Abstract: Chronic liver diseases' hallmark is the fibrosis that results in liver function failure in advanced stages. One of the serious parasitic diseases affecting the liver tissues is schistosomiasis. Immunologic reactions to Schistosoma eggs leads to… read more here.
Keywords: hybrid feature; classification; fibrosis; liver diseases ... See more keywords
Hybrid feature vector based detection of Glaucoma
Sign Up to like & getrecommendations! Published in 2019 at "Multimedia Tools and Applications"
DOI: 10.1007/s11042-019-08249-x
Abstract: This paper focus on the investigation of the potential in retinal image analysis for the detection of Glaucoma. The computer-based analysis of the parameter involves the use of image processing algorithms for pre-processing, localization and… read more here.
Keywords: hybrid feature; detection; image; feature ... See more keywords
Framework of airfoil max lift-to-drag ratio prediction using hybrid feature mining and Gaussian process regression
Sign Up to like & getrecommendations! Published in 2021 at "Energy Conversion and Management"
DOI: 10.1016/j.enconman.2021.114339
Abstract: Abstract The maximum lift-to-drag coefficient of an airfoil directly affects the aerodynamic performance of wind turbine. Machine learning methods are known for being really effective in helping to predict this parameter in a faster and… read more here.
Keywords: lift drag; feature mining; process; feature ... See more keywords
Facial Expression Recognition by Inter-Class Relational Learning
Sign Up to like & getrecommendations! Published in 2019 at "IEEE Access"
DOI: 10.1109/access.2019.2928983
Abstract: Certain correlation exists between various expressions of the human face, yet few works have explored it. In this paper, we propose to recognize facial expressions by extracting independent expressive representation through a novel learning procedure,… read more here.
Keywords: expression; inter class; relational learning; class relational ... See more keywords
A Solution to the High-Dimensional Classification Problem Using an Improved Hybrid Feature Selection Algorithm Guided by Interaction Information
Sign Up to like & getrecommendations! Published in 2020 at "IEEE Access"
DOI: 10.1109/access.2020.3014825
Abstract: This paper addresses the high-dimensional classification problem, which is very important in machine learning. When the number of features of the data is very high, the classification performance of a given classifier can degrade because… read more here.
Keywords: hybrid feature; high dimensional; classification; feature selection ... See more keywords
An Adaptive Parallel Feature Learning and Hybrid Feature Fusion-Based Deep Learning Approach for Machining Condition Monitoring.
Sign Up to like & getrecommendations! Published in 2022 at "IEEE transactions on cybernetics"
DOI: 10.1109/tcyb.2022.3178116
Abstract: The rapid development of information and communication technologies has facilitated machining condition monitoring toward a data-driven paradigm, of which the Industrial Internet of Things (IIoT) serves as the fundamental basis to acquire data from physical… read more here.
Keywords: hybrid feature; condition monitoring; condition; parallel feature ... See more keywords
Curve Skeleton Extraction From 3D Point Clouds Through Hybrid Feature Point Shifting and Clustering
Sign Up to like & getrecommendations! Published in 2020 at "Computer Graphics Forum"
DOI: 10.1111/cgf.13906
Abstract: Curve skeleton is an important shape descriptor with many potential applications in computer graphics, visualization and machine intelligence. We present a curve skeleton expression based on the set of the cross‐section centroids from a point… read more here.
Keywords: hybrid feature; extraction; curve skeleton; skeleton ... See more keywords
A Highly Discriminative Hybrid Feature Selection Algorithm for Cancer Diagnosis
Sign Up to like & getrecommendations! Published in 2022 at "The Scientific World Journal"
DOI: 10.1155/2022/1056490
Abstract: Cancer is a deadly disease that occurs due to rapid and uncontrolled cell growth. In this article, a machine learning (ML) algorithm is proposed to diagnose different cancer diseases from big data. The algorithm comprises… read more here.
Keywords: hybrid feature; accuracy; algorithm; cancer ... See more keywords
An Efficient Hybrid Feature Selection Method Using the Artificial Immune Algorithm for High-Dimensional Data
Sign Up to like & getrecommendations! Published in 2022 at "Computational Intelligence and Neuroscience"
DOI: 10.1155/2022/1452301
Abstract: Feature selection provides the optimal subset of features for data mining models. However, current feature selection methods for high-dimensional data also require a better balance between feature subset quality and computational cost. In this paper,… read more here.
Keywords: hybrid feature; feature; high dimensional; dimensional data ... See more keywords
Using multiple classifiers for predicting the risk of endovascular aortic aneurysm repair re-intervention through hybrid feature selection
Sign Up to like & getrecommendations! Published in 2017 at "Proceedings of the Institution of Mechanical Engineers, Part H: Journal of Engineering in Medicine"
DOI: 10.1177/0954411917731592
Abstract: Feature selection is essential in medical area; however, its process becomes complicated with the presence of censoring which is the unique character of survival analysis. Most survival feature selection methods are based on Cox’s proportional… read more here.
Keywords: hybrid feature; feature selection; feature; predicting risk ... See more keywords
Recognizing Complex Human Activities using Hybrid Feature Selections based on an Accelerometer Sensor
Sign Up to like & getrecommendations! Published in 2017 at "International Journal of Technology"
DOI: 10.14716/ijtech.v8i5.879
Abstract: Wearable sensor technology is evolving in parallel with the demand for human activity monitoring applications. According to World Health Organization (WHO), the percentage of health problems occurring in the world population, such as diabetes, heart… read more here.
Keywords: hybrid feature; feature; recognizing complex; accelerometer sensor ... See more keywords