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Lelio Campanile

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Toward Privacy-Aware Environmental Monitoring of CO2 and Air Pollutants in Southern Italy

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Comparing Emerging Technologies in Image Classification: From Quantum to Kolmogorov

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A TOPSIS-Based Approach to Evaluate Alternative Solutions for GDPR-Compliant Smart-City Services Implementation

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Edge-Cloud Distributed Approaches to Text Authorship Analysis: A Feasibility Study

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Assessing Safety and Sustainability of a Monitoring System for Nuclear Waste Management

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Data Generation and Cybersecurity: A Major Opportunity or the Next Nightmare?

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Performance Evaluation of an Edge-Blockchain Architecture for Smart City

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An eXplainable Artificial Intelligence framework to predict marine scrubbers performances

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Quantum Convolutional Neural Networks for Image Classification: Perspectives and Challenges

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An AI-Driven Methodology for Patent Evaluation in the IoT Sector: Assessing Relevance and Future Impact

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Fuzzy-based Severity Evaluation in Privacy Problems: An Application to Healthcare

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Combining Federated and Ensemble Learning in Distributed and Cloud Environments: An Exploratory Study

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Understanding Readability of Large Language Models Output: An Empirical Analysis

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HEAR set: A ligHtwEight acoustic paRameters set to assess mental health from voice analysis

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Beyond the Hype: Toward a Concrete Adoption of the Fair and Responsible Use of AI

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Ensemble Models for Predicting CO Concentrations: Application and Explainability in Environmental Monitoring in Campania, Italy

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eXplainable Artificial Intelligence in Process Engineering: Promises, Facts, and Current Limitations

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Inferring Emotional Models from Human-Machine Speech Interactions

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A Petri net oriented approach for advanced building energy management systems

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A Domain Specific Language for the Design of Artificial Intelligence Applications for Process Engineering

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A cyber warfare perspective on risks related to health IoT devices and contact tracing

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Supporting the Development of Digital Twins in Nuclear Waste Monitoring Systems

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Merging Model-Based and Data-Driven Approaches for Resilient Systems Digital Twins Design

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Analysis of a marine scrubber operation with a combined analytical/AI-based method

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Prediction of chemical plants operating performances: a machine learning approach

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Break the Fake: A Technical Report on Browsing Behavior During the Pandemic

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Towards privacy-aware software design in small and medium enterprises

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Evaluating the Impact of Data Anonymization in a Machine Learning Application

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A DSL-based modeling approach for energy harvesting IoT/WSN

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Speech-based Evaluation of Emotions-Depression Correlation

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Challenges and Trends in Federated Learning for Well-being and Healthcare

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Sensitive Information Detection Adopting Named Entity Recognition: A Proposed Methodology

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A Federated Consensus-Based Model for Enhancing Fake News and Misleading Information Debunking

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On the Evaluation of BDD Requirements with Text-based Metrics: The ETCS-L3 Case Study

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Performance evaluation for the design of a hybrid cloud based distance synchronous and asynchronous learning architecture

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Designing a GDPR compliant blockchain-based IoV distributed information tracking system

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Risk Analysis of a GDPR-Compliant Deletion Technique for Consortium Blockchains Based on Pseudonymization

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Privacy regulations, smart roads, blockchain, and liability insurance: Putting technologies to work

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Hybrid Simulation of Energy Management in IoT Edge Computing Surveillance Systems

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Dataset Anonimyzation for Machine Learning: An ISP Case Study

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Applying Machine Learning to Weather and Pollution Data Analysis for a Better Management of Local Areas: The Case of Napoli, Italy

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Exploring data and model poisoning attacks to deep learning-based NLP systems

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Machine Learning-aided Automatic Calibration of Smart Thermal Cameras for Health Monitoring Applications

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Exploring a Federated Learning Approach to Enhance Authorship Attribution of Misleading Information from Heterogeneous Sources

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On Performance Evaluation of Security Monitoring in Multitenant Cloud Applications

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Modelling performances of an autonomic router running under attack

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A WSN Energy-Aware approach for air pollution monitoring in waste treatment facility site: A case study for landfill monitoring odour

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Privacy regulations challenges on data-centric and iot systems: A case study for smart vehicles

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A flexible simulation-based framework for model-based/data-driven dependability evaluation

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Toward a fuzzy-based approach for computational load offloading of IoT devices

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Machine learning approaches for diabetes classification: Perspectives to artificial intelligence methods updating

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A simulation study on a WSN for emergency management

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Towards the Use of Generative Adversarial Neural Networks to Attack Online Resources

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Performance evaluation of a fog WSN infrastructure for emergency management

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Computer network simulation with ns-3: A systematic literature review

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Quantitative modeling of the behaviour of an autonomic router

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Performance modeling and analysis of an autonomic router

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