Species classification is an important task which the foundation of industrial, commercial, ecological and scientific applications involving study species distributions, dynamics evolution. While conventional approaches for this use off-the-shelf machine learning (ML) methods such as existing Convolutional Neural Network (ConvNet) architectures, there opportunity to inform ConvNet architecture ...

Fingerprint classification is a method of reducing the number candidates needed by fingerprint recognition systems to determine if picture matches one in database. Deep learning has gained lot attraction recent decade including natural language processing, digital image speech recognition, handwritten digit medical assessments, and so on. The subject this paper explore factors affecting using c...

The main aim of the research is to build a model that can effectively predict type mineral rocks. Rocks be predicted by observing it colour, shape and chemical composition. On-site technicians need apply different techniques on rock sample in order type. Technicians samples, so time-consuming process, sometimes predictions may accurate, false. When are false, might show negative impact several ...