The use of superpixels instead of pixels can significantly improve the speed of the current
pixel-based algorithms, and can even produce better results in many applications such as …

Abstract Parkinson's disease (PD), a neurodegenerative disorder characterized by rest
tremors, muscular rigidity, and bradykinesia, has become a global health concern. Currently …

A real-time plant species recognition under an unconstrained environment is a challenging
and time-consuming process. The recognition model should cope up with the computer …

A feasible, effective and non-destructive method that could be used to differentiate
architectural paints was proposed by Microscopic laser Raman spectroscopy and …

Plant recognition has great potential in forestry research and management. A new method
combined back propagation neural network and radial basis function neural network to …

Medicinal plants can provide immense contribution towards the growth of modern medicine
and pharmaceutical industries to protect people from current deadly diseases like cancer …

This paper proposes a leaf identification system using convolutional neural network (CNN).
This proposed system can identify five types of local Malaysia leaf which were acacia …

Sentiment analysis attracts the attention of Egyptian Decisionmakers in the education sector.
It offers a viable method to assess education quality services based on the students' …

The standard metaheuristics are commonly based on a single metaphorical model miming a
particular animal group's food-searching behaviour. As a result, the contributions of such …

Detecting the moisture content of grain accurately and rapidly has important significance for
harvesting, transport, storage, processing, and precision agriculture. There are some …