Fuzzy clustering-based financial data mining system analysis and design
K Li, Y Chen - International Journal of Foundations of Computer …, 2022 - World Scientific
This paper is based on fuzzy clustering algorithm on financial data, design of financial data
mining system and analysis of financial data, analysis of financial data on the financial …
mining system and analysis of financial data, analysis of financial data on the financial …
SSLnDO-Based Deep Residual Network and RV-Coeącient Integrated Deep Fuzzy Clustering for Cotton Crop ClassiŊcation
J Sheela, N Karthika, B Janet - International Journal of …, 2024 - search.ebscohost.com
The excellent classification accuracy of remote sensory images has led to a major
expansion of their use in agricultural field surveillance in recent years. The accurate …
expansion of their use in agricultural field surveillance in recent years. The accurate …
Cotton crop classification using satellite images with score level fusion based hybrid model
Accurate cotton images are significant component for surveiling cotton development and its
precise control. A suitable technique for charting the distribution of cotton at the county or …
precise control. A suitable technique for charting the distribution of cotton at the county or …
FCM with Spatial Constraint Multi-Kernel Distance-Based Segmentation and Optimized Deep Learning for Flood Detection
Floods are the deadly and catastrophic disasters, causing loss of life and harm to assets,
farmland, and infrastructure. To address this, it is necessary to devise and employ an …
farmland, and infrastructure. To address this, it is necessary to devise and employ an …
HYPERSPECTRAL IMAGE (HSI)-ASSISTED MULTI-LEVEL CROP CLASSIFICATION WITH SPINALNET-ENABLED FRACTIONAL LIGHT SPECTRUM OPTIMIZER
The accurate categorization of crop kinds with hyperspectral remote sensing imaging (HRSI)
represents an imperative adaption in agriculture and is of huge emergence in estimating the …
represents an imperative adaption in agriculture and is of huge emergence in estimating the …
SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification using hyperspectral image
T Subba Reddy, VV Krishna Reddy… - The Imaging Science …, 2024 - Taylor & Francis
Hyper spectral imaging (HSI) is an advanced and fascinating remote sensing method in
various domains. Every sample in HS remote sensing images possesses high-size features …
various domains. Every sample in HS remote sensing images possesses high-size features …
[PDF][PDF] SHBO-based U-Net for image segmentation and FSHBO-enabled DBN for classification using hyperspectral image
Hyper spectral imaging (HSI) is an advanced and fascinating remote sensing method in
various domains. Every sample in HS remote sensing images possesses high-size features …
various domains. Every sample in HS remote sensing images possesses high-size features …