[HTML][HTML] An improvement of the CNN-XGboost model for pneumonia disease classification

Y Hedhoud, T Mekhaznia… - Polish Journal of Radiology, 2023 - ncbi.nlm.nih.gov
Purpose X-ray images are viewed as a vital component in emergency diagnosis. They are
often used by deep learning applications for disease prediction, especially for thoracic …

MFC-PINN: A method to improve the accuracy and robustness of acoustic emission source planar localization

L Zhang, K Li, H Wang, D Liu, Z Ma, Q Zhang, M Li… - Measurement, 2024 - Elsevier
Aluminum alloys used in aerospace can be monitored for cracks using acoustic emission
(AE) technology, ensuring structural safety. However, data-driven deep learning models for …

Scaling deep-learning pneumonia detection inference on a reconfigurable self-contained hardware platform

J Wang, KN Dang, AB Abdallah - 2023 6th International …, 2023 - ieeexplore.ieee.org
Artificial Intelligence (AI) has been used in applications to alleviate specific problems in
academia and industry. For instance, in healthcare, where edge-based computing platforms …

A Comparative Study of Prediction of Pneumonia and COVID-19 Using Deep Neural Networks

MS Haque, MS Taluckder, SB Shawkat… - … on Electronic and …, 2023 - ieeexplore.ieee.org
Pneumonia, a contagious respiratory infection caused by both bacteria and viruses, carries
significant global implications. Rapid identification of infected individuals is paramount to …

Combining Convolutional Neural Networks for Fungi Classification

A Prommakhot, J Srinonchat - IEEE Access, 2024 - ieeexplore.ieee.org
Deep learning approaches have shown exceptional efficacy in challenges related to the
categorization of images. Nevertheless, the practical use of these methods in classifying …

SyntDiaNet: Integrating feature extraction, transfer learning and classifier-embedded generative adversarial network for advanced pneumonia diagnosis

RG Poola, L Pl, SS Yellampalli - Multimedia Tools and Applications, 2024 - Springer
Pneumonia, a significant contributor to global disease and mortality, imposes a substantial
burden on healthcare systems. Conventional approaches to pneumonia detection rely on …

MRI-Based Brain Tumor Classification Using a Dilated Parallel Deep Convolutional Neural Network

T Rahman, MS Islam, J Uddin - Digital, 2024 - mdpi.com
Brain tumors are frequently classified with high accuracy using convolutional neural
networks (CNNs) to better comprehend the spatial connections among pixels in complex …

Detection of Lung Diseases for Pneumonia, Tuberculosis, and COVID-19 with Artificial Intelligence Tools

S Yadav, SAM Rizvi, P Agarwal - SN Computer Science, 2024 - Springer
Chest X-ray imaging is a low-cost, easy way to diagnose lung abnormalities caused by
infectious diseases such as COVID-19, pneumonia, or tuberculosis. The primary objective of …

Pneumonia detection in chest x-ray images using an optimized ensemble with XGBoost classifier

M El-Ghandour, MI Obayya - Multimedia Tools and Applications, 2024 - Springer
Pneumonia is regarded as the top killer of children amongst all other infectious diseases by
causing nearly 700,000 deaths to children aged under five every year. The list also includes …

Explainable AI for healthcare: An approach towards interpretable healthcare models

K Zahoor, NZ Bawany, U Ghani - 2023 24th International Arab …, 2023 - ieeexplore.ieee.org
Artificial intelligence (AI) along with deep learning techniques has become an integral part of
almost all aspects of life. One of the domains significantly impacted by this technological …