Results 51 to 60 of about 3,899,370 (385)
Plant Disease Detection with Deep Learning and Feature Extraction Using Plant Village
Journal of Computer and Communications, 2020 Nowadays, crop diseases are a crucial problem to the world’s food supplies, in a world where the population count is around 7 billion people, with more than 90% not getting access to the use of tools or features that would identify and solve the problem.
Faye Mohameth +2 more
semanticscholar +1 more source
Feature extraction method of ship radiated noise based on BOA-VMD and slope entropy
Frontiers in Physics, 2022 Although the technical requirements for the feature extraction of ship radiated noise (SRN) in the fields of national defense and economy increase with each passing day, the complexity of the marine environment makes the feature extraction of SRN ...
Yingmin Yi, Yingmin Yi, Ge Tian
doaj +1 more source
Modal features for image texture classification [PDF]
, 2020 Feature extraction is a key step in image processing for pattern recognition and machine learning processes. Its purpose lies in reducing the dimensionality of the input data through the computing of features which accurately describe the original information.
arxiv +1 more source
LV-FeatEx: Large Viewpoint-Image Feature Extraction
MathematicsMaintaining stable image feature extraction under viewpoint changes is challenging, particularly when the angle between the camera’s reverse direction and the object’s surface normal exceeds 40 degrees.
Yukai Wang +5 more
doaj +1 more source
Research on Feature Extraction of Ship-Radiated Noise Based on Multiscale Fuzzy Dispersion Entropy
Journal of Marine Science and Engineering, 2023 In recent years, fuzzy dispersion entropy (FDE) has been proposed and used in the feature extraction of various types of signals. However, FDE can only analyze a signal from a single time scale during practical application and ignores some important ...
Yuxing Li +3 more
doaj +1 more source
Feature Extraction for Functional Time Series: Theory and Application to NIR Spectroscopy Data [PDF]
arXiv, 2021 We propose a novel method to extract global and local features of functional time series. The global features concerning the dominant modes of variation over the entire function domain, and local features of function variations over particular short intervals within function domain, are both important in functional data analysis.
arxiv
On the feature extraction in discrete space [PDF]
Pattern Recognition, 2014 In many pattern recognition applications, feature space expansion is a key step for improving the performance of the classifier. In this paper, we (i) expand the discrete feature space by generating all orderings of values of k discrete attributes exhaustively, (ii) modify the well-known decision tree and rule induction classifiers (ID3, Quilan, 1986 ...
openaire +5 more sources
Feature Extraction for Finger-Vein-Based Identity Recognition
Journal of Imaging, 2021 This paper aims to provide a brief review of the feature extraction methods applied for finger vein recognition. The presented study is designed in a systematic way in order to bring light to the scientific interest for biometric systems based on finger ...
George K. Sidiropoulos +3 more
doaj +1 more source
Large Margin Multi-modal Multi-task Feature Extraction for Image Classification [PDF]
IEEE Transactions on Image Processing (Volume: 25, Issue: 1, Jan.
2016), 2019 The features used in many image analysis-based applications are frequently of very high dimension. Feature extraction offers several advantages in high-dimensional cases, and many recent studies have used multi-task feature extraction approaches, which often outperform single-task feature extraction approaches.
arxiv +1 more source
Geographic variation in walking activity in the red flour beetle Tribolium castaneum
Population Ecology, EarlyView.This study examined whether there is geographic variation in field populations, focusing on the moving activity in the red flour beetle Tribolium castaneum. Results showed significant differences in moving activity among field populations but no correlation with latitude or meteorological factors.
Kentarou Matsumura
wiley +1 more source