As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
A new study published in the journal of Scientific Reports proposed a potential diagnostic tool by combining deep learning ...
As an emerging technology in the field of artificial intelligence (AI), graph neural networks (GNNs) are deep learning models ...
In a study titled Recent Applications of Machine Learning Algorithms for Pesticide Analysis in Food Samples, published in the ...
The optimized detection model is integrated into both a mobile application and a dedicated edge device, demonstrating that real-time waste detection can operate reliably without cloud connectivity.
Learn how sales intelligence ensures firmographic accuracy in 2025. Rohit Muthyala details machine learning pipelines and ...
Integrating deep learning in optical microscopy enhances image analysis, overcoming traditional limitations and improving ...
Metabolic dysfunction-associated steatotic liver disease (MASLD) is a highly prevalent chronic liver condition globally, with its management spanning ...
The YOLOv8 and Swin Transformer dual-module system significantly improves structural crack detection, offering a faster and ...
Smartphone cameras are leaning hard on AI, but is it helping or hurting image quality? I look at why hardware still matters ...
Geoinformatics has become a transformative field in Earth science and GIScience, fueled by rapid advancements in Earth observation, remote sensing, GIS ...
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