An extensive review on emerging advancements in thermography and convolutional neural networks for breast cancer detection
J Iyadurai, M Chandrasekharan, S Muthusamy… - Wireless Personal …, 2024 - Springer
Breast cancer remains a significant health concern, necessitating early and accurate
detection methods to reduce mortality rates. This review examines the use of thermography …
detection methods to reduce mortality rates. This review examines the use of thermography …
Challenges issues and future recommendations of deep learning techniques for SARS-CoV-2 detection utilising X-ray and CT images: a comprehensive review
The global spread of SARS-CoV-2 has prompted a crucial need for accurate medical
diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on …
diagnosis, particularly in the respiratory system. Current diagnostic methods heavily rely on …
Deep learning network selection and optimized information fusion for enhanced COVID‐19 detection
This study proposes a wrapper‐based technique to improve the classification performance
of chest infection (including COVID‐19) detection using X‐rays. Deep features were …
of chest infection (including COVID‐19) detection using X‐rays. Deep features were …
[HTML][HTML] Enhanced COVID-19 detection from x-ray images with convolutional neural network and transfer learning
The global spread of Coronavirus (COVID-19) has prompted imperative research into
scalable and effective detection methods to curb its outbreak. The early diagnosis of COVID …
scalable and effective detection methods to curb its outbreak. The early diagnosis of COVID …
A novel Adaptive Neural Network-Based Laplacian of Gaussian (AnLoG) classification algorithm for detecting diabetic retinopathy with colour retinal fundus images
MD Ramasamy, K Periasamy, S Periasamy… - Neural Computing and …, 2024 - Springer
Diabetic retinopathy (DR) is a human eye disease in which the eye's retina is damaged in
diabetics. Diabetic retinopathy can be diagnosed by manually interpreting retinal fundus …
diabetics. Diabetic retinopathy can be diagnosed by manually interpreting retinal fundus …
A novel method for prediction and analysis of COVID 19 transmission using machine learning based time series models
Coronavirus has been avowed world epidemic by the Organisation Mondiale de la Santé on
March 11th 2020. Formerly, numerous investigators have endeavoured to envisage …
March 11th 2020. Formerly, numerous investigators have endeavoured to envisage …
An efficient claim management assurance system using EPC contract based on improved monarch butterfly optimization models
Abstract The Engineering Procurement Construction (EPC) contract systems are widely
employed in the construction industry. Among the prevalent issues in this sector, cash flow …
employed in the construction industry. Among the prevalent issues in this sector, cash flow …
C-Hybrid-NET: A self-attention-based COVID-19 screening model based on concatenated hybrid 2D-3D CNN features from chest X-ray images
K Bayoudh, F Hamdaoui, A Mtibaa - Multimedia Tools and Applications, 2024 - Springer
The outbreak of novel coronavirus (2019-nCOV, commonly known as COVID-19) was
declared a global pandemic by the World Health Organization (WHO) in March 2020. An …
declared a global pandemic by the World Health Organization (WHO) in March 2020. An …
A New Method for Detecting the Fatigue Using Automated Deep Learning Techniques for Medical Imaging Applications
NS Gnanadesigan, GAA Lincoln, N Dhanasegar… - Wireless Personal …, 2024 - Springer
In the human race, Fatigue may contribute to a decline in efficiency. Fatigue is a risk factor
for health and a component of quality degradation. The effects of Fatigue include sleep …
for health and a component of quality degradation. The effects of Fatigue include sleep …
A Novel Method for Illegal Driver Detection and Legal Driver Identification Using Multitask Learning Based LSTM Models for Real Time Applications
M Manoharan, K Muthukrishnan, G Balan… - Wireless Personal …, 2024 - Springer
Abstract The Industrial Internet of Things is becoming the novel driving force in the
automotive industry, assembly travel more suitable for individuals. Despite this, there are still …
automotive industry, assembly travel more suitable for individuals. Despite this, there are still …