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Francesco Flammini

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Full Professor

Mälardalen University

Sweden

Research Interests

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About

Francesco Flammini is a Full Professor at Mälardalen University in Sweden. His research areas include digital twins, fault diagnosis, and cyber-physical systems, with a focus on methodologies such as deep learning for medical diagnoses and industrial applications. Recent articles published by Professor Flammini explore topics like the development of intelligent diagnostic frameworks and the use of convolutional neural networks in various domains.

Recent Grants

Grant: Close

IndTech - Industrial Technology Graduate School

Open Date: 2021-01-01

Close Date:

Grant: Close

PERformance-based Formal modelling and Optimal tRaffic Management for movING-block RAILway signalling

Open Date: 2020-12-01

Close Date: 2023-06-30

Grant: Close

ARC - Augmented Reality and Cybersecurity

Open Date: 2020-09-01

Close Date: 2022-10-01

Grant: Close

CPS-based resilience for critical infrastructure protection

Open Date: 2020-01-15

Close Date: 2021-03-14

Grant: Close

Civilingenjör 4.0 Module C11 "Cyber Security, Industrial Data Protection and Data Integrity"

Open Date: 2020-01-01

Close Date: 2021-01-01

Articles (23)

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2022

Collaborators (11)

Javier Lopez

University of Malaga

SPAIN

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Anitha Premkumar

Assistant Professor - Senior Scale

Manipal University

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Rajesh Natarajan

Lecturer

OMAN

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Badria Sulaiman Alfurhood

Assistant Professor

princess nourah bint abdulrahman university

SAUDI ARABIA

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Emanuele Bellini

Associate Professor

Roma Tre University

ITALY

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Cristina Alcaraz

University of Malaga

SPAIN

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Roberto Nardone

Parthenope University of Naples

ITALY

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Carlo Sansone

University of Naples Federico II

ITALY

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Mauro Caporuscio

Professor

Linnaeus University

SWEDEN

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andrea bondavalli

professor

Università degli Studi di Napoli Federico II

ITALY

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Mazdak Zamani

Adjunct Assistant Professor

New York University

UNITED STATES

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Francesco Flammini

Research Interests

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About

Recent Grants

Articles (23)

Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization

Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization

Process Mining for Digital Twin Development of Industrial Cyber-Physical Systems

Spearman and Jaccard‐Based Convolutional Deep Neural Learning for Early Parkinson’s Diagnosis

An Intelligent Diagnostic Framework Based on Digital Twins and Partial Transfer Learning: Methodology and Industrial Application

Model-based Trustworthiness Evaluation of Autonomous Cyber-Physical Production Systems: A Systematic Mapping Study

A study on the application of convolutional neural networks for the maintenance of railway tracks

Blockchain‐Based Piecewise Regressive Kupyna Cryptography for Secure Cloud Services

Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles

A Two-Level Fusion Framework for Cyber-Physical Anomaly Detection

Similarity Feature Construction for Semantic Sensor Ontology Integration via Light Genetic Programming

A Discrete Congruence Levenberg–Marquardt Deep Convoluted Neural Learning Classifier for the Automatic Detection of Autism Spectrum Disorder

Hessian Distributed Ant Optimized Perron–Frobenius Eigen Centrality for Social Networks

Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance

YOLO-Based Light-Weight Deep Learning Models for Insect Detection System with Field Adaption

Iterative Reflect Perceptual Sammon and Machine Learning-Based Bagging Classification for Efficient Tumor Detection

Decision Fault Tree Learning and Differential Lyapunov Optimal Control for Path Tracking

Secure Modern Wireless Communication Network Based on Blockchain Technology

A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0

System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures

A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0

Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks

Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives

Collaborators (11)

Javier Lopez

Anitha Premkumar

Rajesh Natarajan

Badria Sulaiman Alfurhood

Emanuele Bellini

Cristina Alcaraz

Roberto Nardone

Carlo Sansone

Mauro Caporuscio

andrea bondavalli

Mazdak Zamani

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