Studies suggest that the brain's high efficiency and low energy consumption may be closely
related to its small-world topology and critical dynamics. However, existing efforts on the …

In recent years, vehicle type detection has had an important role in traffic management. A
lightweight detection network based on multiscale ghost convolution called G‐YOLOX is …

In this paper, we propose a novel learning paradigm called" DeepFlorist" for flower
classification using ensemble learning as a meta-classifier. DeepFlorist combines the power …

Early-stage identification of fruit flowers that are in both opened and unopened condition in
an orchard environment is significant information to perform crop load management …

Biomedical imaging is a rapidly evolving field that covers different types of imaging
techniques which are used for diagnostic and therapeutic purposes. It plays a vital role in …

Medical imaging is a widely accepted technique for the early detection and diagnosis of
disease within digital health. It includes different techniques such as Magnetic resonance …

Flowers are one of the most beautiful creations ever made by god, with a plenty of different
varieties and hues to choose from. A botanist with extensive knowledge and abilities is …

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------------------Deep learning techniques are becoming more and more common in computer …

Currently, there is an urgent need for non-invasive monitoring of farm animals' health status,
enabling swift responses to adverse situations such as morbidity, feeding disorders, and …

The past several years have seen a lot of activity in the field of gender classification
research. For a wide range of tasks including surveillance, computer vision, human …