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Feature selection based on a normalized difference measure for text classification
TLDR
We analyzed Balanced Accuracy (ACC2)feature ranking metrics and identified its draw backs.We proposed to normalize Balanced Accuracy by minimum of tpr and fpr values.We compared results of proposed feature ranking metric with seven well known feature ranking metrics. Expand
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Relative discrimination criterion - A novel feature ranking method for text data
TLDR
Proposed new feature ranking algorithm (RDC) which considers term counts.Compared performance of RDC with four feature ranking metrics on four datasets. Expand
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Classification of gastrointestinal diseases of stomach from WCE using improved saliency-based method and discriminant features selection
TLDR
In this research, a new computer-based diagnosis method is proposed for the detection and classification of gastrointestinal diseases from WCE images. Expand
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Feature Selection Based on Class-Dependent Densities for High-Dimensional Binary Data
TLDR
We propose a new FR algorithm, termed as class-dependent density-based feature elimination (CDFE), for binary data sets. Expand
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An automated detection and classification of citrus plant diseases using image processing techniques: A review
TLDR
This paper presents a survey on the different methods relevant to citrus plants leaves diseases detection and the classification. Expand
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An Optimized Method for Segmentation and Classification of Apple Diseases Based on Strong Correlation and Genetic Algorithm Based Feature Selection
TLDR
A new method is implemented for apple diseases identification and recognition. Expand
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Design and cost analysis of 1 kW photovoltaic system based on actual performance in Indian scenario
Summary The exhaustion of conventional resources and its effect on climate requires an urgent call for the substitute power resources to convene up the current power requirement. Solar energy is anExpand
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CCDF: Automatic system for segmentation and recognition of fruit crops diseases based on correlation coefficient and deep CNN features
TLDR
This research is primarily focusing on the detection and classification of various fruits diseases based on correlation coefficient-based segmentation method which separates the infected regions from the background. Expand
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Selection of the most relevant terms based on a max-min ratio metric for text classification
TLDR
We propose a new feature ranking metric called max-min ratio (MMR). Expand
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A new approach to fabricate graphene electro-conductive networks on natural fibers by ultraviolet curing method
Abstract A new approach has been reported to reduce the graphene oxide (GO) onto the wool and cotton fibers to create electro-conductive networks by UV light. GO was fabricated on the surfaces ofExpand
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