Abstract Material recognition is the process of recognizing the constituent material of the object, and it is a crucial step in many fields.Therefore, it is valuable to create a system that could achieve material recognition automatically.This paper proposes a novel approach named ensemble learning for material recognition with convolutional neural
Abstract Purpose The objective of the manuscript is to propose a hybrid algorithm combining the improved BM25 algorithm, k-means clustering, and BioBert model to better determine Outdoor biomedical articles utilizing the PubMed database so, the number of retrieved biomedical articles whose content contains much similar information regarding a query
Aquaponics is an innovative and potentially sustainable method of producing vegetables and fish, enabling local, inland fish production, and vegetable production without the need for artificial fertilization.With the aim to analyze the potential development of commercial aquaponics in Portugal, a group Transfer Papers of Portuguese stakeholders and
The in-box LOCA (Loss of Coolant Accident) represents a major safety concern to be addressed in the design of the WCLL-BB (water-cooled lead-lithium breeding blanket).Research activities are ongoing to master the Transfer Papers phenomena and processes that occur during the postulated accident, to enhance the predictive capability and reliability o