Abstract: The human classification of software requirements, a difficult subjective process prone to inconsistencies and classification errors, is a major difficulty in software requirement ...

A signal-processing–based framework converts DNA sequences into numerical signals to identify protein-coding regions. By integrating spectral analysis and SVM classification, the approach improves ...

Abstract: Support Vector Machine (SVM), a robust machine learning algorithm, exhibits exceptional efficacy in addressing image multi-classification challenges. This paper aims to discuss the image ...

Arid and semiarid regions face challenges such as bushland encroachment and agricultural expansion, especially in Tiaty, Baringo, Kenya. These issues create mixed opportunities for pastoral and ...

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1 College of Rural Revitalization, Jiangsu Open University, Nanjing, China 2 Institute of Agricultural Resources and Environment, Jiangsu Academy of Agricultural Sciences, Nanjing, China Accurate ...

The code is partially associated with the following papers: Spatial Prior Fuzziness Pool-Based Interactive Classification of Hyperspectral Images and Multiclass Non-Randomized Spectral–Spatial Active ...

ABSTRACT: Making the distinction between different plantation tree species is crucial for creating reliable and trustworthy information, which is critical in forestry administration and upkeep. Over ...