TRANSPARENT ARTIFICIAL INTELLIGENCE AND AUTOMATION TO AIR TRAFFIC MANAGEMENT SYSTEMS

Risultati finali

Report on the Development plan based on ATM tasks with supporting AI

The Development plan based on ATM tasks with supporting AI

Report on risk management plan

Main objective of this task is to develop a quality assurance plan

Final Dissemination Report
Validation Plan

Validation Plan of the maturity assessment of ARTIMATION

Report on Ethical Framework for handling personal data, and sharing and access to data within ARTIMATION

Specification of legal premises following GDPR

Final Project Results Report

A final report that summarizing the project outcomeresults

Communication, Dissemination and exploitation plan

Dissemination to a wider audience will take several forms, which will be represented in the Dissemination/Communication Plan that will be created during the first months of the project and review in all the consortium meetings in order to have it properly updated.

Report and guidelines on AI Transparency and Generalisation

Guidelines on AI Transparency and Generalisation

Report on State of Art - AI support in ATM

State of Art study in AI support in ATM field

Validation Report i.e. the maturity assessment of ARTIMATION

The analysis on the maturity assessment of ARTIMATION

Project Management Plan

Project coordination and management Scientific management

Ethical and Legal report

A report on Ethical and Legal issues

Intermediate Dissemination Report

Ongoing Dissemination Report

Data management Plan

Data management collection and operation definition

Pubblicazioni

A Survey on Artificial Intelligence (AI) and eXplainable AI in Air Traffic Management: Current Trends and Development with Future Research Trajectory

Autori: Degas A, Islam MR, Hurter C, Barua S, Rahman H, Poudel M, Ruscio D, Ahmed MU, Begum S, Rahman MA, Bonelli S, Cartocci G, Di Flumeri G, Borghini G, Babiloni F, Aricó P.
Pubblicato in: Applied Sciences, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12031295

A Systematic Review of Explainable Artificial Intelligence in Terms of Different Application Domains and Tasks

Autori: Islam, M.R.; Ahmed, M.U.; Barua, S.; Begum, S.
Pubblicato in: Applied Sciences, 2022, ISSN 2076-3417
Editore: MDPI
DOI: 10.3390/app12031353

Joint Analysis of Eye Blinks and Brain Activity to Investigate Attentional Demand during a Visual Search Task.

Autori: Nicolina Sciaraffa; Gianluca Borghini; Gianluca Di Flumeri; Febo Cincotti; Fabio Babiloni; Pietro Aricò
Pubblicato in: Brain Sciences, Numero 1, 2021, ISSN 2076-3425
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/brainsci11050562

A Video-Based Technique for Heart Rate and Eye Blinks Rate Estimation: A Potential Solution for Telemonitoring and Remote Healthcare.

Autori: Vincenzo Ronca; Andrea De Giorgi; Dario Rossi; Antonello Di Florio; Gianluca Di Flumeri; Pietro Aricò; Nicolina Sciaraffa; Alessia Vozzi; Luca Tamborra; Ilaria Simonetti; Gianluca Borghini
Pubblicato in: Sensors (Basel, Switzerland), Numero 2, 2021, ISSN 1424-8220
Editore: Multidisciplinary Digital Publishing Institute (MDPI)
DOI: 10.3390/s21051607

Air Force Pilot Expertise Assessment during Unusual Attitude Recovery Flight

Autori: Gianluca Borghini; Pietro Aricò; Gianluca Di Flumeri; Vincenzo Ronca; Andrea Giorgi; Nicolina Sciaraffa; Claudio Conca; Simone Stefani; Paola Verde; Angelo Landolfi; Roberto Isabella; Fabio Babiloni
Pubblicato in: Safety; Volume 8; Numero 2; Pages: 38, Numero 2, 2022, ISSN 2313-576X
Editore: mdpi
DOI: 10.3390/safety8020038

Toward a more transparent and explainable conflict resolution algorithm for air traffic controllers

Autori: Christophe Hurter , Augustin Degas , Arnaud Guibert , Nicolas Durand , Mir Riyanul Islam, Shaibal Barua, Hamidur Rahman, Daniele Ruscio , Mobyen Uddin Ahmed, Shahina Begum, Stefano Bonelli , Giulia Cartocci , Gianluca Di Flumeri , Gianluca Borghini , Fabio Babiloni , Pietro Aricò
Pubblicato in: Conference of the European Association for Aviation Psychology (EAAP22), Numero 23521457, 2022, ISSN 2352-1457
Editore: Elsevier
DOI: 10.5281/zenodo.7148652

Transparent Artificial intelligence and Automation to Air Traffic Management Systems: Conflict Detection and Resolution

Autori: Christophe,Hurter; Degas, Augustin; Islam, Mir Riyanul; Barua, Shaibal; Rahman, Hamidur; Poudel, Minesh; Ruscio, Daniele; Ahmed, Mobyen Uddin; Begum, Shahina; Rahman, Md Aquif; Bonelli, Stefano; Cartocci, Giulia; Di Flumeri, Gianluca; Borghini, Gianluca; Aricó, Pietro; Babiloni, Fabio
Pubblicato in: Poster made for ICCAS 2022, explaining the work done to explain an AI dealing with Conflict Detection & Avoidance (CD&R) in Air Traffic Management, 2022
Editore: ICCAS
DOI: 10.5281/zenodo.7149224

When a CBR in Hand is Better than Twins in the Bush

Autori: Mobyen Uddin Ahmed, Shaibal Barua, Shahina Begum, Mir Riyanul Islam, Rosina O Weber
Pubblicato in: Fourth Workshop on XCBR: Case-Based Reasoning for the Explanation of Intelligent Systems at ICCBR-2022, 2022
Editore: CEUR-WS.org
DOI: 10.5281/zenodo.7022471

Risultati finali

Pubblicazioni

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