Integrating the textural and spectral information of UAV hyperspectral images for the improved estimation of rice aboveground biomass
T Xu, F Wang, L Xie, X Yao, J Zheng, J Li, S Chen - Remote Sensing, 2022 - mdpi.com
The accurate and rapid estimation of the aboveground biomass (AGB) of rice is crucial to
food security. Unmanned aerial vehicles (UAVs) mounted with hyperspectral sensors can …
food security. Unmanned aerial vehicles (UAVs) mounted with hyperspectral sensors can …
Categorical variable segmentation model for software development effort estimation
This paper proposes a new software development effort estimation model. The new model's
design is based on the function point analysis, categorical variable segmentation (CVS), and …
design is based on the function point analysis, categorical variable segmentation (CVS), and …
Using actors and use cases for software size estimation
Software size estimation represents a complex task, which is based on data analysis or on
an algorithmic estimation approach. Software size estimation is a nontrivial task, which is …
an algorithmic estimation approach. Software size estimation is a nontrivial task, which is …
Study of learning techniques for effort estimation in object-oriented software development
S Shukla, S Kumar - IEEE Transactions on Engineering …, 2022 - ieeexplore.ieee.org
Software effort estimation (SEE) is helpful for project managers to decide the cost and effort
needed to complete the project. The techniques used for estimating effort in conventional …
needed to complete the project. The techniques used for estimating effort in conventional …
Enhancing Software Effort Estimation with Self-Organizing Migration Algorithm: A Comparative Analysis of COCOMO Models
This study presents a comprehensive analysis of enhancing software effort estimation
accuracy using a Self-Organizing Migration Algorithm (SOMA)-optimized Constructive Cost …
accuracy using a Self-Organizing Migration Algorithm (SOMA)-optimized Constructive Cost …
Performance Evaluation of Kernel Functions in Window-based and Clustering-based Models on Diverse Datasets
This study embarks on an in-depth analysis of the performance of various kernel functions,
namely uniform, epanechnikov, triangular, and gaussian, in window-based and spectral …
namely uniform, epanechnikov, triangular, and gaussian, in window-based and spectral …
Spectral clustering effect in software development effort estimation
Software development effort estimation is essential for software project planning and
management. In this study, we present a spectral clustering algorithm based on symmetric …
management. In this study, we present a spectral clustering algorithm based on symmetric …
Degradation estimation using feature increment stepwise linear regression for PWM Inverter of Electro-Mechanical Actuator
Abstract Electro-Mechanical Actuator (EMA) is a critical subsystem of the aircraft. The
degradation of Pulse Width Modulation (PWM) Inverter has significant influence on EMA …
degradation of Pulse Width Modulation (PWM) Inverter has significant influence on EMA …
Evaluating kernel functions in software effort estimation: A comparative study of moving window and spectral clustering models across diverse datasets
This study embarks on an in-depth analysis of the performance of various kernel functions,
namely uniform, epanechnikov, triangular, and gaussian, in window-based and spectral …
namely uniform, epanechnikov, triangular, and gaussian, in window-based and spectral …
VAF factor influence on the accuracy of the effort estimation provided by modified function points methods
The paper presents the Function Points (FP) method, which can be used for a preliminary
effort estimation using limited information. Despite the potential for early use of the effort …
effort estimation using limited information. Despite the potential for early use of the effort …