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Study of an Evaluation Model for AIS ReceiverSensitivity Measurements

Study of an Evaluation Model for AIS Receiver Sensitivity Measurements

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

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An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction

An Evolutionary MultiLayer Perceptron Algorithm for Real Time River Flood Prediction

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

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Deriving A Novel Health Index Using A Large-Scale Population Based Electronic Health RecordWith Deep Networks

Deriving A Novel Health Index Using A Large-Scale Population Based Electronic Health Record With Deep Networks

Abstract Health indexes are useful tools for monitoring the health condition of a population and can be used to guide the healthcare policy of governments. However, most health indexes are

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Corona Discharge-Induced WaterDroplet Growth in Air

Corona Discharge-Induced WaterDroplet Growth in Air

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

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UNIVERSAL MULTI-MODAL DEEP NETWORK FOR CLASSIFICATION AND SEGMENTATION OF MEDICAL IMAGES

Universal multi-modal deep network for classification and segmentation of medical images

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

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Object-Oriented (oop) Design of the Specialized Software for Automation of the Metallographic Analysis

Object-oriented (oop) design of the Specialized Software for Automation of the Metallographic Analysis

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

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Integrated Pico-Tesla Resolution Magnetoresistive Sensors for Miniaturised Magnetomyography(MMG)

Integrated Pico-Tesla Resolution Magnetoresistive Sensors for Miniaturised Magnetomyography (MMG)

Abstract Magnetomyography (MMG) is the measurement of magnetic signals generated in the skeletal muscle of humans by electrical activities. However, current technologies developed to detect such a tiny magnetic field

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