INVESTIGATING TROPICAL CYCLONE RAPID INTENSIFICATION WITH AN ADVANCED ARTIFICIAL INTELLIGENCE SYSTEM AND GRIDDED REANALYSIS DATA

Investigating Tropical Cyclone Rapid Intensification with an Advanced Artificial Intelligence System and Gridded Reanalysis Data

Rapid Intensification (RI) in Tropical Cyclone (TC) development is one of the most difficult and still challenging tasks in weather forecasting.In addition to the dynamical numerical simulations, commonly used techniques for RI (as well as TC intensity changes) analysis and prediction are the composite analysis and statistical models based on featu

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Discussion of a Simple Method to Generate Descriptive Images Using Predictive ResNet Model Weights and Feature Maps for Recurrent Cervix Cancer

Background: Predictive models like Residual Neural Networks (ResNets) can use Magnetic Resonance Imaging (MRI) data to identify cervix tumors likely to recur after radiotherapy (RT) with high accuracy.However, there persists a lack of insight into model selections (explainability).In this study, we explored whether model features could be used to g

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DESIGNING AGGREGATE KPIS AS A METHOD OF IMPLEMENTING DECISION-MAKING PROCESSES IN THE MANAGEMENT OF SMART CITIES

The aim of the paper is to present a concept of measuring the performance of city management processes by use of a concept of aggregate KPIs.In the management Shooting Waistcoats of organizations and, as a consequence of the use of a common design framework also in the management of cities, silo KPIs are commonly used to show the statuses of the pr

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