This paper proposes a novel data classification framework, combining sparse auto-encoders (SAEs) and a post-processing system consisting of a linear system model relying on Particle Swarm Optimization (PSO) algorithm.All the sensitive and high-level features are extracted by using the first auto-encoder which is wired to the second auto-encoder, fo
Recently diverged species typically have incomplete reproductive barriers, allowing introgression of genetic material from one species into the genomic background of the other.The role of natural selection in preventing or promoting introgression remains contentious.Because of genomic co-adaptation, some chromosomal fragments are expected to be sel
Texture recognition is important for robots to discern the characteristics of the object surface and adjust grasping and manipulation strategies accordingly.It is still challenging to develop texture mursteinsformer classification approaches that are accurate and do not require high computational costs.In this work, we adopt a bionic tactile sensor
Understanding social behaviour in livestock groups requires accurate geo-spatial localisation data navy drapery fabric over time which is difficult to obtain in the field.Automated on-animal devices may provide a solution.This study introduced an Real-Time-Kinematic Global Navigation Satellite System (RTK-GNSS) localisation device (RTK rover) based
There are basically two levels of calibrations and validation of digitally acquired spectral and other information via sensors carried on space-borne or airborne platforms.The basic level is carried out by the data producers executed by comparison made of results taken over test fields for example.The second level, more a part of a supervised class