A systematic literature review on deep learning approaches for pneumonia detection using chest X-ray images
Abstract As per World Health Organization, in 2019, 2.5 million deaths were reported due to
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
pneumonia, of which 14% were observed among children between 0–5 years of age. Due to …
A comprehensive review on federated learning based models for healthcare applications
A disease is an abnormal condition that negatively impacts the functioning of the human
body. Pathology determines the causes behind the disease and identifies its development …
body. Pathology determines the causes behind the disease and identifies its development …
Suspension polymerization technique: parameters affecting polymer properties and application in oxidation reactions
V Chaudhary, S Sharma - Journal of Polymer Research, 2019 - Springer
Various heterogeneous polymerization techniques such as suspension, emulsion,
dispersion, precipitation and seeded are employed for the synthesis of a wide variety of …
dispersion, precipitation and seeded are employed for the synthesis of a wide variety of …
[HTML][HTML] OPT-CO: Optimizing pre-trained transformer models for efficient COVID-19 classification with stochastic configuration networks
Building upon pre-trained ViT models, many advanced methods have achieved significant
success in COVID-19 classification. Many scholars pursue better performance by increasing …
success in COVID-19 classification. Many scholars pursue better performance by increasing …
[HTML][HTML] CTBViT: A novel ViT for tuberculosis classification with efficient block and randomized classifier
Abstract Background and Objective Despite the impressive achievements of Transformer
models in tuberculosis (TB) analysis, there are still some shortcomings, such as the high …
models in tuberculosis (TB) analysis, there are still some shortcomings, such as the high …
AI student success predictor: Enhancing personalized learning in campus management systems
Abstract Campus Management Systems (CMSs) are vital tools in managing educational
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …
institutions, handling tasks like student enrollment, scheduling, and resource allocation. The …
A review of multi-omics data integration through deep learning approaches for disease diagnosis, prognosis, and treatment
JS Wekesa, M Kimwele - Frontiers in Genetics, 2023 - frontiersin.org
Accurate diagnosis is the key to providing prompt and explicit treatment and disease
management. The recognized biological method for the molecular diagnosis of infectious …
management. The recognized biological method for the molecular diagnosis of infectious …
Deep learning model for detection of hotspots using infrared thermographic images of electrical installations
EK Ukiwe, SA Adeshina, T Jacob… - Journal of Electrical …, 2024 - Springer
Hotspots in electrical power equipment or installations are a major issue whenever it occurs
within the power system. Factors responsible for this phenomenon are many, sometimes …
within the power system. Factors responsible for this phenomenon are many, sometimes …
Chest X-ray Images for Lung Disease Detection Using Deep Learning Techniques: A Comprehensive Survey
MAA Al-qaness, J Zhu, D AL-Alimi, A Dahou… - … Methods in Engineering, 2024 - Springer
In medical imaging, the last decade has witnessed a remarkable increase in the availability
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
and diversity of chest X-ray (CXR) datasets. Concurrently, there has been a significant …
Federated and transfer learning for cancer detection based on image analysis
This review highlights the efficacy of combining federated learning (FL) and transfer learning
(TL) for cancer detection via image analysis. By integrating these techniques, research has …
(TL) for cancer detection via image analysis. By integrating these techniques, research has …