Overview of metaheuristic algorithms

SM Almufti, AA Shaban, ZA Ali, RI Ali… - Polaris Global Journal of …, 2023 - pgjsrt.com
Metaheuristic algorithms are optimization algorithms that are used to address complicated
issues that cannot be solved using standard approaches. These algorithms are inspired by …

Enhancing Brain Tumor Classification with Data Augmentation and DenseNet121

NA Zebari, AAH Alkurdi… - Academic Journal of …, 2023 - journals.nawroz.edu.krd
This research paper presents a comprehensive study on the development and evaluation of
a brain tumor classification model using advanced image processing and deep learning …

Review of Swarm Intelligence for Solving Symmetric Traveling Salesman Problem

AA Shaban, JAD Fuente, MS Salih… - Qubahan Academic …, 2023 - journal.qubahan.com
Swarm Intelligence algorithms are computational intelligence algorithms inspired from the
collective behavior of real swarms such as ant colony, fish school, bee colony, bat swarm …

Object Detection using the ImageAI Library in Python

RR Asaad, RI Ali, AA Shaban, MS Salih - Polaris Global Journal of …, 2023 - pgjsrt.com
Recent progress in deep learning methods has shown that key steps in object detection and
recognition, including feature extraction, region proposals, and classification, can be done …

Inventory Categorization Using Multiple Criteria Classification

MNAZ Abidin, NEN Bazin, DA Zebari… - Journal of Soft …, 2024 - publisher.uthm.edu.my
Inventory management holds paramount importance in modern business landscapes, where
expert resource handling is essential for success. This study investigates the correlation …

Enhancing COVID-19 Detection with YOLOv5 Object Detection Algorithm in Chest X-ray Images

P Duraisamy, D Arunkumar… - 2024 3rd International …, 2024 - ieeexplore.ieee.org
In the ongoing fight against COVID-19, accurate diagnostic tools are crucial. This study
focuses on the detection of COVID-19, primarily by analyzing Chest X-ray images to identify …