Abstract: Early detection of tsunamis is essential for disaster risk reduction and minimizing loss of life. This research introduces an advanced deep learning-based tsunami detection model that ...
Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...
Explore five free and low-cost AI certifications that help tech professionals build AI skills across cloud, machine learning, ...
Abstract: The research paper describes a software-based medical risk analysis system which predicts heart disease and diabetes by analyzing patient health information collected without sensors or ...
Python''s popularity is surging. In 2025, it achieved a record 26.14% TIOBE index rating, the highest any language has ever reached, largely driven by AI and data trends. 58% of developers now use ...
The XGBoost model predicts hyperglycemia risk in psoriasis patients with high accuracy, achieving an AUC of 0.821 in the training set. A web-based calculator was developed to facilitate personalized ...
Objectives: To develop and validate machine learning models to predict levodopa responsiveness of tremor in Parkinson’s disease (PD) patients. Methods: A total of 197 PD tremor patients underwent ...
Purpose This scoping review aimed to map and synthesize evidence on technological advancements using Artificial Intelligence in the diagnosis and management of dysphagia. We followed the PRISMA ...
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