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Chapter and Conference Paper
Wrapper-Based Feature Selection Using Sperm Swarm Optimization: A Comparative Study
Feature selection is a vital technique that enhances the quality of input datasets by reducing redundancy, noise, and inaccuracies without compromising classifier accuracy. The integration of metaheuristic sea...
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Chapter and Conference Paper
A Modified African Vultures Optimization Algorithm for Enhanced Feature Selection
Feature selection is a reliable technique for reducing redundant, noisy, or inaccurate features in raw input datasets without compromising classifier accuracy. Integrating metaheuristic search algorithms (MSAs...
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Article
DCTN: a dense parallel network combining CNN and transformer for identifying plant disease in field
Crop diseases can have a detrimental impact on crop growth, resulting in a significant reduction in crop yield. Therefore, accurate detection of these diseases is crucial for enhancing crop productivity. Despi...
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Chapter and Conference Paper
Long-Range Delivery and High-Efficiency Actuation of Magnetic Freezing Compact Toroid for Failed Spacecraft Despinning
With the increasing seriousness of the space debris environment, develo** debris de-orbiting and removal techniques is imperative. Space debris rotates rapidly, so despinning must be performed before removal...
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Chapter and Conference Paper
An Improved Digital Pulse Compression Technique and FPGA Implementation
Digital pulse compression technology is one of the key technologies to resolve the contradiction between radar detection capability and range resolution. In the following, the digital pulse compression princip...
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Article
Weibull statistical modeling for textured image retrieval using nonsubsampled contourlet transform
In this paper, we proposed a new framework for textured image retrieval, which is based on Weibull statistical distribution and nonsubsampled contourlet transform. Firstly, the image is decomposed into one low...
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Article
\(k^{-}\) -anonymization of multiple shortest paths
The preservation of privacy on information networks has been studied extensively in recent years. Although early work concentrated on preserving sensitive node information and link information to prevent re-id...
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Article
Lyapunov stability and generalized invariance principle for nonconvex differential inclusions
This paper studies the system stability problems of a class of nonconvex differential inclusions. At first, a basic stability result is obtained by virtue of locally Lipschitz continuous Lyapunov functions. Mo...
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Article
Mining fuzzy sequential patterns from quantitative transactions
Many researchers in database and machine learning fields are primarily interested in data mining because it offers opportunities to discover useful information and important relevant patterns in large database...