Abstract
ABSTRACTBiosafety is defined as a set of preventive measures aimed at reducing the risk of infectious diseases’ spread to crops and animals, by providing quarantine pesticides. Prolonged and sustained overheating of the sea, creates significant habitat losses, resulting in the proliferation and spread of invasive species, which invade foreign areas typically seeking colder climate. This is one of the most important modern threats to marine biosafety. The research effort presented herein, proposes an innovative approach for Marine Species Identification, by employing an advanced intelligent Machine Hearing Framework (MHF). The final target is the identification of invasive alien species (IAS) based on the sounds they produce. This classification attempt, can provide significant aid towards the protection of biodiversity, and can achieve overall regional biosecurity. Hearing recognition is performed by using the Online Sequential Multilayer Graph Regularized Extreme Learning Machine Autoencoder (MIGRATE_ELM). The MIGRATE_ELM uses an innovative Deep Learning algorithm (DELE) that is applied for the first time for the above purpose. The assignment of the corresponding class ‘native’ or ‘invasive’ in its locality, is carried out by an equally innovative approach entitled ‘Geo Location Country Based Service’ that has been proposed by our research team.
Highlights
The analysis of data extracted from audio fragments requires large storage space (Ramírez-Gallego, Fernández, García, Chen, & Herrera, 2018) but coordination of complex analysis processes solved in polynomial time as well
Considering and combining the features of ELM we introduce and propose a new Deep architecture by creating an Online Learning Multilayer Graph Regularized Extreme Learning Machine Auto-Encoder (OSML-Graph Regularized Extreme Learning Machine Autoencoder (GRELMA))
The evaluation of the classification is mainly based on the Confusion Matrix (CM), where the main diagonal values correspond to the correct classifications and the rest of the numbers correspond to very few cases that were misclassified
Summary
Bio-safety (BISA) is a strategic and integrated approach It includes policy and regulatory frameworks, plus risk analysis and management rules. It is related to food safety, animal and plant life and health, in certain environments. It covers the introduction of plant pests, animal pests, diseases and zoonoses, and the release of genetically modified organisms. The threats to biosecurity, are related to small-scale risks that emerge rapidly, making the application of an effective policy, a very challenging task. This is due to time and resources’ limitations, which make the analysis and assessment of threats likelihood, a tedious task
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