One of the most deadly and dangerous volcano hazards isn’t lava. Mudflows called lahars can come without clear warning.
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 ...
AI-enhanced optical spectroscopy revolutionizes food quality monitoring with rapid, non-destructive analysis, ensuring safety and reducing waste in production.
Abstract: With the increasing number of scholarship applicants, there is a growing need for intelligent systems that support fair and efficient decision-making. This study aims to enhance the ...
By transforming everyday smartphone signals into high-resolution mobility data, researchers have reconstructed how residents of Cuenca travel across the city and what those patterns mean for energy ...
Those that solve artificially simplified problems where quantum advantage is meaningless. Those that provide no genuine quantum advantage when all costs are properly accounted for. This critique is ...
Preventive identification of Electric Vehicle (EV) drive faults always play a vital role in machine condition monitoring. Further, Machine Learning (ML) algorithms are becoming essential for ensuring ...
An accurate assessment of the state of health (SOH) is the cornerstone for guaranteeing the long-term stable operation of ...
Both approaches identified hemoglobin as one of the most significant predictors of CKD risk. Additional top-ranked features included blood urea, sodium levels, red blood cell count, potassium, and ...
Machine learning enhances proteomics by optimizing peptide identification, structure prediction, and biomarker discovery.
Read more about AI-driven air quality system promises faster, more reliable urban health warnings on Devdiscourse ...
Objective Cardiovascular diseases (CVD) remain the leading cause of mortality globally, necessitating early risk identification to improve prevention and management strategies. Traditional risk ...
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