[HTML][HTML] Stock price predictive analysis: An application of hybrid barnacles mating optimizer with artificial neural network

Z Mustaffa, MH Sulaiman - International Journal of Cognitive Computing in …, 2023 - Elsevier
Abstract Artificial Neural Network (ANN) is an effective machine learning technique for
addressing regression tasks. Nonetheless, the performance of ANN is highly dependent on …

[HTML][HTML] A novel transfer learning-based model for diagnosing malaria from parasitized and uninfected red blood cell images

AM Qadri, A Raza, F Eid, L Abualigah - Decision Analytics Journal, 2023 - Elsevier
Malaria represents a potentially fatal communicable illness triggered by the Plasmodium
parasite. This disease is transmitted to humans through the bites of Anopheles mosquitoes …

[PDF][PDF] The role of ultraviolet radiation in human race

S Soundharaj, M Ramachandran… - … Science and Engineering, 2022 - academia.edu
Ultraviolet (UV) radiation is a form of non-ionizing radiation emitted by artificial sources such
as the sun and tanning beds. Although vitamin B1 in foods has some benefits for humans …

Gooseneck barnacle optimization algorithm: A novel nature inspired optimization theory and application

M Ahmed, MH Sulaiman, AJ Mohamad… - … and Computers in …, 2024 - Elsevier
This paper introduces the Gooseneck Barnacle Optimisation Algorithm (GBO) as a novel
evolutionary method inspired by the natural mating behaviour of gooseneck barnacles …

[HTML][HTML] PHF3 Technique: A Pyramid Hybrid Feature Fusion Framework for Severity Classification of Ulcerative Colitis Using Endoscopic Images

J Qi, G Ruan, J Liu, Y Yang, Q Cao, Y Wei, Y Nian - Bioengineering, 2022 - mdpi.com
Evaluating the severity of ulcerative colitis (UC) through the Mayo endoscopic subscore
(MES) is crucial for understanding patient conditions and providing effective treatment …

Classifying parasitized and uninfected malaria red blood cells using convolutional-recurrent neural networks

AA Alonso-Ramírez, CH García-Capulín… - IEEE …, 2022 - ieeexplore.ieee.org
This work aims to classify malaria infected red blood cells from those uninfected using two
deep learning approaches. Plasmodium parasite transmitted by a female anopheles's …

[HTML][HTML] Metabolomic Selection in the Progression of Type 2 Diabetes Mellitus: A Genetic Algorithm Approach

J Morgan-Benita, AG Sánchez-Reyna… - Diagnostics, 2022 - mdpi.com
According to the World Health Organization (WHO), type 2 diabetes mellitus (T2DM) is a
result of the inefficient use of insulin by the body. More than 95% of people with diabetes …

Semi-supervised graph learning framework for apicomplexan parasite classification

Y Ha, X Meng, Z Du, J Tian, Y Yuan - Biomedical Signal Processing and …, 2023 - Elsevier
Apicomplexan parasites cause diseases including malaria, toxoplasmosis, and babesiosis,
affecting large parts of the world and hampering economic development to a considerable …

[PDF][PDF] Microcontroller Based Sensor Interface and Its Investigation

MR Kurinjimalar Ramu, M Selvam - 2022 - academia.edu
A microcontroller (sometimes called an MCU or microcontroller unit) is an integrated circuit
(IS) commonly used for a specific application designed to do certain tasks. Devices, power …

Parasite Detection in Copro Images with a modified Faster R-CNN

MA Gutierrez-Velazquez… - 2023 20th International …, 2023 - ieeexplore.ieee.org
Object detection is an important area in computer vision, which has had a great impact in
various areas such as medicine. One of the applications in medicine is the detection of …