The continuous monitoring of animals is crucial for the well-being of both humans and animals. A comprehensive animal monitoring system must incorporate animal detection …
S Taheri, Ö Toygar - IET computer vision, 2018 - Wiley Online Library
A real‐world animal biometric system that detects and describes animal life in image and video data is an emerging subject in machine vision. These systems develop computer …
M Yang, H Chang, W Luo - Neurocomputing, 2017 - Elsevier
Dictionary learning has played an important role in the success of sparse representation. Although discriminative synthesis dictionary learning for sparse representation with a high …
H Li, M Trocan - Microelectronics Journal, 2019 - Elsevier
This paper strives to construct the relevance between smartphone sensor data and personal health via a deep learning method. Firstly, the data captured by smartphone sensors is …
Virtual screening (VS) is a computational practice applied in drug discovery research. VS is popularly applied in a computer-based search for new lead molecules based on molecular …
Ensemble learning is a general technique to improve accuracy in machine learning. However, the heavy computation of a ConvNets ensemble limits its usage in deep learning …
The bag-of-features (BoF) model for image classification has been thoroughly studied over the last decade. Different from the widely used BoF methods which model images with a pre …
M Mursalin, SS Islam, MK Noman… - arXiv preprint arXiv …, 2019 - arxiv.org
Epilepsy is a well-known neuronal disorder that can be identified by interpretation of the electroencephalogram (EEG) signal. Usually, the length of an EEG signal is quite long which …
It became obvious that it is required to reduce the high-dimensional of data in many data mining researches and applications. Virtual Screening (VS) is a set of computational …