Fusing Ascending and Descending Time-Series SAR Images with Dual-Polarized Pixel Attention UNet for Landslide Recognition
B Pan, X Shi - Remote Sensing, 2023 - mdpi.com
Conducting landslide recognition research holds notable practical significance for disaster
management. In response to the challenges posed by noise, information redundancy, and …
management. In response to the challenges posed by noise, information redundancy, and …
Risk Prediction Model for Chronic Kidney Disease in Thailand Using Artificial Intelligence and SHAP
MC Tsai, B Lojanapiwat, CC Chang, K Noppakun… - Diagnostics, 2023 - mdpi.com
Chronic kidney disease (CKD) is a multifactorial, complex condition that requires proper
management to slow its progression. In Thailand, 11.6 million people (17.5%) have CKD …
management to slow its progression. In Thailand, 11.6 million people (17.5%) have CKD …
Classifying pepper disease based on transfer learning: a deep learning approach
Pepper is cultivated all over the world and many farmers' subsistence depends on these
crops. But unfortunately, farmers who are involved in the cultivation of pepper, have to fall on …
crops. But unfortunately, farmers who are involved in the cultivation of pepper, have to fall on …
Automatic diagnosis of ureteral stone and degree of hydronephrosis with proposed convolutional neural network, RelieF, and gradient‐weighted class activation …
Urinary system stone disease is a common disease group all over the world. Ureteral stones
constitute 20% of all urinary system stones. Ureteral stones are important because they can …
constitute 20% of all urinary system stones. Ureteral stones are important because they can …
Mpcitl: design of an efficient multimodal engine for pre-emptive identification of ckd via incremental transfer learning on clinical data samples
Abstract Chronic Kidney Disease (CKD) can be identified via MRI (Magnetic Resonance
Imaging) Scans, CT (Computerized Tomography) Scans, and clinical parameters including …
Imaging) Scans, CT (Computerized Tomography) Scans, and clinical parameters including …
An ensemble learning-based model for effective chronic kidney disease prediction
S Kumari, SK Singh - 2022 International Conference on …, 2022 - ieeexplore.ieee.org
Due to rising chronic kidney disease (CKD) cases across the globe, it is required to be
detected and diagnosed effectively. Machine learning-based models can be an effective tool …
detected and diagnosed effectively. Machine learning-based models can be an effective tool …
Chronic Stress Recognition Based on Time-slot Analysis of Ambulatory Electrocardiogram and Tri-axial Acceleration
J Li, M Wang, F Zhang, G Liu… - IEEE Transactions on …, 2023 - ieeexplore.ieee.org
Stress, especially chronic stress, is a high risk factor of many physical and mental health
problems. This work acquired 702 days of full-day ambulatory electrocardiogram (ECG) and …
problems. This work acquired 702 days of full-day ambulatory electrocardiogram (ECG) and …
Examining the risk factors of liver disease: a machine learning approach
Nowadays, Liver Disease (LD) is a very common clinical problem for human health and is
related to morbidity and mortality. Nevertheless, an earlier prognosis of LD patients gets a …
related to morbidity and mortality. Nevertheless, an earlier prognosis of LD patients gets a …
Chronic kidney disease prediction using improved deep belief network with local search nearest neighbour optimization
P Pradeepa, DM Jeyakumar - Computer Methods in Biomechanics …, 2024 - Taylor & Francis
ABSTRACT Chronic Kidney Disease (CKD) is one of the risky diseases that can threaten
human life. Thus, automatic system is recommended for the early prediction. Hence, Artifical …
human life. Thus, automatic system is recommended for the early prediction. Hence, Artifical …
Towards convergence of blockchain and self-sovereign identity for privacy-preserving secure federated learning
More and more researchers are eager to train their Machine Learning (ML) model by the
distributed dataset in a federated manner. However, there are numerous privacy and …
distributed dataset in a federated manner. However, there are numerous privacy and …