IEEE

Pet Image Classification using Deep Neural Network Techniques

Abstract: Image segmentation is one the vital part of computer vision which has been used to understand the visual information. In present study segmentation and classification of cats and dogs has ...
Scientific Research Publishing

Kohler, M. and Langer, S. (2025) Statistical Theory for Image Classification Using Deep Convolutional Neural Network with Cross-Entropy Loss under the Hierarchical Max-Pooling ...

ABSTRACT: The Rectified Linear Unit (ReLU) activation function is widely employed in deep learning (DL). ReLU shares structural similarities with censored regression and Tobit models common in ...
IEEE

Herbguard: An Ensemble Deep Learning Framework With Efficientnet and Vision Transformers for Fine-Grained Classification of Medicinal and Poisonous Plants

Abstract: Classifying whether a plant is herbal or poisonous is a significant challenge for trekkers, hikers, and nature enthusiasts, particularly in remote areas where several unfamiliar plant ...
Frontiers

Deep learning–based approaches for weed detection in crops

Deep learning has become a transformative technology for modern weed detection, offering significant advantages over traditional machine vision in robustness, scalability, and recognition accuracy.