Neural Networks‐Based Software Development Effort Estimation: A Systematic Literature Review
Software development effort estimation (SDEE) is a key task in managing software projects.
Among the existing SDEE models, artificial neural networks (ANN) have garnered …
Among the existing SDEE models, artificial neural networks (ANN) have garnered …
Improved Software Effort Estimation Through Machine Learning: Challenges, Applications, and Feature Importance Analysis
Effort estimations are a crucial aspect of software development. The tasks should be
completed before the start of any software project. Accurate estimations increase the …
completed before the start of any software project. Accurate estimations increase the …
Performance evaluation of anti-predatory nature-inspired algorithm for small scale to very high scale problems
Abstract Anti-Predatory Nature-Inspired Algorithm (APNIA) is designed to emulate the anti-
predatory behaviour of frogs in order to solve optimization problems. It has a good …
predatory behaviour of frogs in order to solve optimization problems. It has a good …
Improve Accuracy in Healthcare Data Analysis using Competitive Ensemble Deep Learning Model
J Sravanthi, CS Reddy, A Mahendar… - … on Computing for …, 2024 - ieeexplore.ieee.org
This paper discusses the significance of Machine Learning (ML) and Deep Learning (DL)
techniques for structured and unstructured healthcare data. As healthcare data is increasing …
techniques for structured and unstructured healthcare data. As healthcare data is increasing …