Classification of stored wheat quality is extremely important for reducing wheat storage
losses and ensuring food security. However, the limitations of conventional single models …

Text similarity is critical in a variety of applications, including word processing, signal
processing, imagery, data mining, wireless sensor networks, etc., where text similarity …

Standardized striking movements are essential in badminton for enhancing player
techniques and minimizing sports-related injuries. However, accurately detecting these …

A well-designed loss function can effectively improve the characterization ability of network
features without increasing the amount of calculation in the model inference stage, and has …

Breakthroughs in the convolution neural network (CNN) have resolved and improved many
challenges of pattern recognition in natural images. With the increased use of proximal …

This paper presents a systemic analysis on the implications of the loss function, batch size
and optimiser function applied within the multi-output regression problem domain of Head …

The detection and monitoring of cognitive decline has emerged as an important research
topic as the global population ages. Here, we present work towards the goal of using a …

Dementia and other forms of cognitive decline can cause aging adults to have to leave their
homes and enter care facilities. These declines can affect eye movements and speech …

Artificial neural networks (ANNs) have revolutionized the field of science in the last few
decades. Unlike classical machine learning (ML) algorithms, which require human effort to …