Abstract: Convolutional neural networks are a popular method in hyperspectral image classification. However, the accuracy of the models is closely related to the number and spatial size of training ...

Machine learning (ML) and deep learning (DL) algorithms now enable robust, non-invasive authentication. Tools such as ...

Plant diseases remain a major threat to food security and agricultural productivity, especially in resource-constrained ...

The proposed system redefines smart livestock farming by eliminating the need for wearable devices and manual observation.

Abstract: Convolutional neural networks (CNNs) are highly effective deep learning architectures for remote sensing (RS) image classification. However, the interpretability of CNN architecture remains ...

Overcrowded with undertrials and plagued by systemic failures, India's prison system demands more than just reform – it needs ...

This study introduces a deep-learning system for rapid, automated detection and classification of tiny calcium deposits ...

Researchers enhance mail security screening by combining terahertz spectroscopy with advanced spectral reconstruction. This ...

Discover how the mamba-YOLO deep learning model classifies Shiitake mushrooms with near-perfect accuracy, advancing ...

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

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

CNN has reached out to the Vatican ... Pope Leo will likely be a “mirror image” of Francis – a different man but a continuation of his predecessor’s focus on serving the poor, missionary ...