Search Results for author:
Found 19 papers, 2 papers with code
Hybrid Inception Architecture with Residual Connection: Fine-tuned Inception-ResNet Deep Learning Model for Lung Inflammation Diagnosis from Chest Radiographs
Diagnosing lung inflammation, particularly pneumonia, is of paramount importance for effectively treating and managing the disease.
Using evolutionary machine learning to characterize and optimize co-pyrolysis of biomass feedstocks and polymeric wastes
The input features are constructed using an innovative approach to reflect the physics of the process.
Evolving Deep Neural Network by Customized Moth Flame Optimization Algorithm for Underwater Targets Recognition
This chapter proposes using the Moth Flame Optimization (MFO) algorithm for finetuning a Deep Neural Network to recognize different underwater sonar datasets.
Multi objective Fitness Dependent Optimizer Algorithm
This paper proposes the multi objective variant of the recently introduced fitness dependent optimizer (FDO).
The Fifteen Puzzle- A New Approach through Hybridizing Three Heuristics Methods
This is mainly because of the huge size of the state space with approximately 1013 states that have to be explored and several algorithms have been applied to solve the Fifteen Puzzle instances.
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.
Brain Tumor Detection and Classification Using a New Evolutionary Convolutional Neural Network
A definitive diagnosis of a brain tumour is essential for enhancing treatment success and patient survival.
Current Studies and Applications of Shuffled Frog Leaping Algorithm: A Review
An overview of the SFLA is first conducted, followed by the algorithm's most recent modifications and hybridizations.
Multi-objective learner performance-based behavior algorithm with five multi-objective real-world engineering problems
The results proved the ability of the proposed work in providing a set of non-dominated solutions, and that the algorithm outperformed the other participated algorithms in most of the cases.
ANA: Ant Nesting Algorithm for Optimizing Real-World Problems
ANA computes the rate of change differently as it uses previous, current solutions, fitness values during the optimization process to generate weights by utilizing the Pythagorean theorem.
A Data-Driven Approach for Linear and Nonlinear Damage Detection Using Variational Mode Decomposition and GARCH Model
Afterwards, the GARCH model is utilised to represent the statistics of IMFs.
A Novel Approach for Deterioration and Damage Identification in Building Structures Based on Stockwell-Transform and Deep Convolutional Neural Network
In this paper, a novel deterioration and damage identification procedure (DIP) is presented and applied to building models.
YUKI Algorithm and POD-RBF for Elastostatic and dynamic crack identification
We compare the performance of the suggested algorithm with the performance of well-known optimization methods, such as Teaching Learning Based Optimization (TLBO), Cuckoo Search (CS), and the Gray Wolf Optimizer (GWO).
Formal context reduction in deriving concept hierarchies from corpora using adaptive evolutionary clustering algorithm star
Generating formal context may lead to a time-consuming process, so formal context size reduction is required to remove uninterested and erroneous pairs, taking less time to extract the concept lattice and concept hierarchies accordingly.
Performance evaluation results of evolutionary clustering algorithm star for clustering heterogeneous datasets
This article presents the data used to evaluate the performance of evolutionary clustering algorithm star (ECA*) compared to five traditional and modern clustering algorithms.
Swarm Intelligence for Next-Generation Wireless Networks: Recent Advances and Applications
Due to the proliferation of smart devices and emerging applications, many next-generation technologies have been paid for the development of wireless networks.
Embedded Chaotic Whale Survival Algorithm for Filter-Wrapper Feature Selection
The binary version of Whale Optimization Algorithm (WOA) is a popular FS technique which is inspired from the foraging behavior of humpback whales.
A survey on dragonfly algorithm and its applications in engineering
Moreover, to examine the ability of the algorithm to optimize large-scale optimization problems CEC-C2019 benchmarks were utilized.
S-Shaped vs. V-Shaped Transfer Functions for Antlion Optimization Algorithm in Feature Selection Problems
Six variants of ALO are proposed where each employ a transfer function to map a continuous search space to a discrete search space.
