Abstract Effective pain management can significantly improve the quality of life and outcomes for various types of patients(e.g. elderly, adult, young) and often requires assisted living for a significant number […]
Abstract This paper describes a low computation system for a surveying service robot in a banquet hall setting. Automating this process will allow staff to focus on other tasks which
Service Robot Navigation and Computer Vision Application in a Banquet Hall Setting Read More »
Abstract The human gut micro-biome is a complex ecosystem that both affects and is affected by its host status. Previous analyses of gut microflora revealed associations between specific microbes and
Abstract With the development of society, the number of the archive is increasing day by day. The transmission of the archive is a heavy work that archive staff must face
A Full-Automatic Archive Management Robot Read More »
Abstract Interior wall painting is a common work in construction which consumes a lot of time and human effort. By replacing human manual operation, robotic painting was introduced to improve
Autonomous Wall Painting Robot Read More »
Abstract To guarantee that ships can navigate safely, the International Maritime Organization mandates that all ships navigating internationally must install the automatic identification system (AIS). AIS works in the very
Study of an Evaluation Model for AIS Receiver Sensitivity Measurements Read More »
Abstract Severe flash flood events give very little opportunity for issuing warnings. In this paper, we approach the automated and real-time prediction of river flooding by proposing and evaluating different
An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction Read More »
Abstract In natural clouds, water droplets grow by condensation in a supersaturated environment. Under subsaturatedconditions, water droplets normally keep evaporating until they eventually disappear. In this article, we study the
Corona Discharge-Induced WaterDroplet Growth in Air Read More »
Abstract Medical image processing algorithms have traditionally focused on a specific problem or disease per modality. This approach has continued with the wide-spread adoption of deep learning in the last
Universal multi-modal deep network for classification and segmentation of medical images Read More »
Abstract The relevance to developing the specialized software for automation of the metallographic analysis has been substantiated. The object model of the specialized software for automation of the metallographic analysis
