Engineered tin dioxide nanosensors combined with deep learning enable precise gas classification, improving detection in ...

Image-based recognition using convolutional neural networks (CNNs), especially architectures like ResNet and YOLO, dominate ...

By combining machine learning-based text classification and sentiment analysis, we can create a robust AI-powered email ...

Studies leveraging NIR and CNNs report accuracies exceeding 95%, with some achieving perfect classification for pure fibers.

The rise of e-commerce has reshaped the retail landscape, with millions of new products flooding the digital marketplace. Yet ...

Imagine trying to tell identical twins apart just by looking at their fingerprints. That's how challenging it can be for ...

In the digital age, data has become the driving force behind innovation and growth, transforming industries in its wake. As ...

A new artificial intelligence (AI) system can now separate fir, spruce, and pine pollen. The achievement promises sharper ...

With 98.4% accuracy in melanoma detection, SkinEHDLF demonstrates the potential of hybrid deep learning models in ...