Visualization and classification of mushroom species with multi-feature fusion of metaheuristics-based convolutional neural network model

E Özbay, FA Özbay, FS Gharehchopogh - Applied Soft Computing, 2024 - Elsevier
Determining the correct mushroom species with the necessary ecological characteristics is
critical to continue mushroom production, which is essential in gastronomy. The mushroom …

Multifeature Fusion Method with Metaheuristic Optimization for Automated Voice Pathology Detection

E Özbay, FA Özbay, N Khodadadi, FS Gharehchopogh… - Journal of Voice, 2024 - Elsevier
Voice pathologies occur due to various factors, such as malfunction of the vocal cords.
Computerized acoustic examination-based vocal pathology detection is crucial for early …

Brain tumor detection with mRMR-based multimodal fusion of deep learning from MR images using Grad-CAM

FA Özbay, E Özbay - Iran Journal of Computer Science, 2023 - Springer
The brain tumor is considered a deadly cancer disease that can be seen among people of
almost all ages. Early diagnosis and treatment by radiologists are very important in terms of …

The Golf Sport Inspired Search metaheuristic algorithm and the game theoretic analysis of its operators' effectiveness

A Husseinzadeh Kashan, S Karimiyan, AJ Kulkarni - Soft Computing, 2024 - Springer
This paper introduces the Golf Sport Inspired Search (GSIS) algorithm as an evolutionary
search method for numerical optimization. Each solution is generated with the aid of the step …

An NCA-based hybrid cnn model for classification of Alzheimer's disease on grad-cam-enhanced brain MRI images

FA Özbay, E Özbay - Turkish Journal of Science and Technology, 2023 - dergipark.org.tr
Alzheimer's, one of the most prevalent varieties of dementia, is a fatal neurological disease
for which there is presently no known cure. Early diagnosis of such diseases and …

An Improved Boosting Bald Eagle Search Algorithm with Improved African Vultures Optimization Algorithm for Data Clustering

FS Gharehchopogh - Annals of Data Science, 2024 - Springer
Data clustering is one of the main issues in the optimization problem. It is the process of
clustering a group of items into several groups. Items within each group have the greatest …

Classification of satellite images for ecology management using deep features obtained from convolutional neural network models

E Özbay, M Yıldırım - Iran Journal of Computer Science, 2023 - Springer
Ecology is the scientific study of balancing biodiversity, which has an impact on natural life
and habitats and establishes a strong yet complicated link between the ecosystem's …

Gastrointestinal Tract Disease Classification Using Residual-Inception Transformer with Wireless Capsule Endoscopy Images Segmentation

E Özbay - IEEE Access, 2024 - ieeexplore.ieee.org
One of the leading causes of cancer-related mortality in affluent nations is Colorectal Cancer
(CRC). Gastrointestinal (GI) disorders pose a severe hazard to human health and are …

A Hybrid Multi-population Optimization Algorithm for Global Optimization and Its Application on Stock Market Prediction

A Alizadeh, FS Gharehchopogh, M Masdari… - Computational …, 2024 - Springer
Meta-heuristic algorithms are formulated and implemented based on events and
occurrences in nature. By creating shortcuts throughout the problem space, they try to find …

[PDF][PDF] A binary Jaya algorithm with selection-based local search mechanism for large-scale optimization problems

A Özkiş, M Karakoyun - Journal of the Faculty of Engineering and …, 2023 - academia.edu
Purpose: The ELSM mechanism aims to search the solution space in binary optimization
problems effectively. The ELSM mechanism contributes to the global best solution to get rid …