Search Results for author:
Found 7 papers, 2 papers with code
A Bio-Medical Snake Optimizer System Driven by Logarithmic Surviving Global Search for Optimizing Feature Selection and its application for Disorder Recognition
These are used in exploration to allow solutions to be found more thoroughly and in relation to a chosen solution than at random.
Awareness requirement and performance management for adaptive systems: a survey
The primary objective of this research is to summarize current advances in awareness requirements for adaptive strategies based on an examination of state-of-the-art methods described in the literature.
Fitness Dependent Optimizer with Neural Networks for COVID-19 patients
However, it is found that FDO has the longest runtime compared to the other algorithms.
Kurdish Handwritten Character Recognition using Deep Learning Techniques
From the experimental results, it is clear that the proposed deep learning model is performing well and is comparable to the similar model of other languages' handwriting recognition systems.
Harmony Search: Current Studies and Uses on Healthcare Systems
The popularity of HS urges us to provide a comprehensive survey of the literature on HS and its variants on health systems, analyze its strengths and weaknesses, and suggest future research directions.
Improved Fitness Dependent Optimizer for Solving Economic Load Dispatch Problem
Moreover, the authors have enhanced a novel variant of Fitness Dependent Optimizer, which incorporates novel population initialization techniques and dynamically employed sine maps to select the weight factor for Fitness Dependent Optimizer.
Fitness Dependent Optimizer for IoT Healthcare using Adapted Parameters: A Case Study Implementation
Ultimately, the target of this chapter's enhancement is to adapt the IoT healthcare framework based on FDO to spawn effective IoT healthcare applications for reasoning out real-world optimization, aggregation, prediction, segmentation, and other technological problems.
