[HTML][HTML] Marine vessel classification and multivariate trajectories forecasting using metaheuristics-optimized extreme gradient boosting and recurrent neural networks
Maritime vessels provide a wealth of data concerning location, trajectories, and speed.
However, while these data are meticulously monitored and logged to maintain course, they …
However, while these data are meticulously monitored and logged to maintain course, they …
[HTML][HTML] Explainable artificial intelligence approaches for COVID-19 prognosis prediction using clinical markers
K Chadaga, S Prabhu, N Sampathila, R Chadaga… - Scientific Reports, 2024 - nature.com
The COVID-19 influenza emerged and proved to be fatal, causing millions of deaths
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
worldwide. Vaccines were eventually discovered, effectively preventing the severe …
[HTML][HTML] COVID-19 diagnosis using clinical markers and multiple explainable artificial intelligence approaches: a case study from Ecuador
The COVID-19 pandemic erupted at the beginning of 2020 and proved fatal, causing many
casualties worldwide. Immediate and precise screening of affected patients is critical for …
casualties worldwide. Immediate and precise screening of affected patients is critical for …
[HTML][HTML] Multiple Explainable Approaches to Predict the Risk of Stroke Using Artificial Intelligence
Stroke occurs when a brain's blood artery ruptures or the brain's blood supply is interrupted.
Due to rupture or obstruction, the brain's tissues cannot receive enough blood and oxygen …
Due to rupture or obstruction, the brain's tissues cannot receive enough blood and oxygen …
[HTML][HTML] Detection of renal cell hydronephrosis in ultrasound kidney images: a study on the efficacy of deep convolutional neural networks
In the realm of medical imaging, the early detection of kidney issues, particularly renal cell
hydronephrosis, holds immense importance. Traditionally, the identification of such …
hydronephrosis, holds immense importance. Traditionally, the identification of such …
Digital twin of renal system with CT-radiography for the early diagnosis of chronic kidney diseases
N Sasikaladevi, A Revathi - Biomedical Signal Processing and Control, 2024 - Elsevier
Kidney failure, also called as end-stage renal disease is the final stage of chronic kidney
disease (CKD). Kidney failure cannot be revered and is the life-threatening if left untreated …
disease (CKD). Kidney failure cannot be revered and is the life-threatening if left untreated …
[HTML][HTML] A diagnosis model for brain atrophy using deep learning and MRI of type 2 diabetes mellitus
Objective Type 2 Diabetes Mellitus (T2DM) is linked to cognitive deterioration and
anatomical brain abnormalities like cerebral brain atrophy and cerebral diseases. We aim to …
anatomical brain abnormalities like cerebral brain atrophy and cerebral diseases. We aim to …
End‐to‐end light‐weighted deep‐learning model for abnormality classification in kidney CT images
V Karthikeyan, MN Kishore… - International Journal of …, 2024 - Wiley Online Library
Kidney disease is a major health problem that affects millions of people around the world.
Human kidney problems can be diagnosed with the help of computed tomography (CT) …
Human kidney problems can be diagnosed with the help of computed tomography (CT) …
Empowering Glioma Prognosis With Transparent Machine Learning and Interpretative Insights Using Explainable AI
A Palkar, CC Dias, K Chadaga, N Sampathila - IEEE Access, 2024 - ieeexplore.ieee.org
The primary objective of this research is to create a reliable technique to determine whether
a patient has glioma, a specific kind of brain tumour, by examining various diagnostic …
a patient has glioma, a specific kind of brain tumour, by examining various diagnostic …
Interpretable cervical cell classification: A comparative analysis
Cervical cancer is a significant global health issue, and traditional screening methods like
Pap smears are labor-intensive and may miss some cases. Automation is needed, but it …
Pap smears are labor-intensive and may miss some cases. Automation is needed, but it …