All Stories

  1. Architecting software monitors for control-flow anomaly detection through large language models and conformance checking
  2. Hybrid knowledge-based decision support system for intrusion response in industrial cyber-physical systems
  3. Deep learning–based intelligent system for railway track monitoring and fault detection
  4. Opportunities and Risks of Generative AI in Model-Based Engineering of Railway Systems
  5. CPN-Based Modelling to Assess Dependability of Train-to-Train Wireless Communication for Virtual Coupling
  6. Run-Time Monitoring of ERTMS/ETCS Control Flow by Process Mining
  7. EFU: Enforcing Federated Unlearning via Functional Encryption
  8. Improving Situation Awareness and Self-Adaptation in Autonomous Wheelchair-Drone Systems through Floor Surface Anomaly Detection
  9. Self-adaptive fault diagnosis for unseen working conditions based on digital twins and domain generalization
  10. Process Mining for Digital Twin Development of Industrial Cyber-Physical Systems
  11. Spearman and Jaccard‐Based Convolutional Deep Neural Learning for Early Parkinson’s Diagnosis
  12. An Intelligent Diagnostic Framework Based on Digital Twins and Partial Transfer Learning: Methodology and Industrial Application
  13. Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs Against Environmental Factors
  14. From Roads to Rails: Bridging the Gap in Signal Recognition Through Computer Vision
  15. LogGenST: A Framework for Synthetic Log Generation Using LLMs for Smart-Troubleshooting
  16. Similarity Feature Construction for Semantic Sensor Ontology Integration via Light Genetic Programming
  17. Railway Switch Control Modeling in European Train Control System Level 3
  18. Journey tracker: driver alerting system with a deep learning approach
  19. Balancing privacy and performance in federated learning: A systematic literature review on methods and metrics
  20. A Discrete Congruence Levenberg–Marquardt Deep Convoluted Neural Learning Classifier for the Automatic Detection of Autism Spectrum Disorder
  21. Experimental Evaluation of Road-Crossing Decisions by Autonomous Wheelchairs against Environmental Factors
  22. Prediction of Mobile Phone Prices using Machine Learning
  23. An Analysis of Car Price Prediction using Machine Learning
  24. Rating Prediction of Football Players using Machine Learning
  25. A study on the application of convolutional neural networks for the maintenance of railway tracks
  26. Guest Editorial Navigating the Nexus of Cyber Security and Resilience
  27. Integrating AI and DTs: challenges and opportunities in railway maintenance application and beyond
  28. New modeling approaches to evaluate reliability, safety and security in smart-factories
  29. A Two-Level Fusion Framework for Cyber-Physical Anomaly Detection
  30. Blockchain‐Based Piecewise Regressive Kupyna Cryptography for Secure Cloud Services
  31. Ridge Regressive Data Preprocessed Quantum Deep Belief Neural Network for Effective Trajectory Planning in Autonomous Vehicles
  32. A Comprehensive Review of Face Recognition Techniques, Trends, and Challenges
  33. A Novel Hybrid Symbolic Fuzzy Interval-Based Clustering Approach for Microarray Image Spot Segmentation
  34. Analysis of Log Files to Enable Smart-Troubleshooting in Industry 4.0: A Systematic Mapping Study
  35. Safe Road-Crossing by Autonomous Wheelchairs: A Novel Dataset and Its Evaluation
  36. Situation Awareness in the Cloud-Edge Continuum
  37. Distance education boosting interdisciplinarity and internationalization: an experience report from “Ethics, Law and Privacy in Data and Analytics” at SUPSI
  38. A hybrid behavior- and Bayesian network-based framework for cyber–physical anomaly detection
  39. Digital Twins for Anomaly Detection in the Industrial Internet of Things: Conceptual Architecture and Proof-of-Concept
  40. A community detection approach based on network representation learning for repository mining
  41. RETRACTED ARTICLE: Machine learning based 64-QAM classification techniques for enhanced optical communication
  42. Detecting malicious reviews and users affecting social reviewing systems: A survey
  43. Music Recommendation via Hypergraph Embedding
  44. A Review of Intelligent Infrastructure Surveillance to Support Safe Autonomy in Smart-Railways
  45. Fault detection and state estimation in robotic automatic control using machine learning
  46. Hessian Distributed Ant Optimized Perron–Frobenius Eigen Centrality for Social Networks
  47. Intelligent detection of warning bells at level crossings through deep transfer learning for smarter railway maintenance
  48. Trustworthiness-Related Risks in Autonomous Cyber-Physical Production Systems - A Survey
  49. Probabilistic Modelling for Trustworthy Artificial Intelligence in Drone-Supported Autonomous Wheelchairs
  50. LSTM-based failure prediction for railway rolling stock equipment
  51. Optimized Paillier Homomorphic Encryption in Federated Learning for Speech Emotion Recognition
  52. COVID-19 Sentiment Analysis Based on Tweets
  53. Digital Twin for Sustainability Assessment and Policy Evaluation: A Systematic Literature Review
  54. TaughtNet: Learning Multi-Task Biomedical Named Entity Recognition From Single-Task Teachers
  55. Multi-task learning for few-shot biomedical relation extraction
  56. YOLO-Based Light-Weight Deep Learning Models for Insect Detection System with Field Adaption
  57. Iterative Reflect Perceptual Sammon and Machine Learning-Based Bagging Classification for Efficient Tumor Detection
  58. Decision Fault Tree Learning and Differential Lyapunov Optimal Control for Path Tracking
  59. Secure Modern Wireless Communication Network Based on Blockchain Technology
  60. A deep attention based approach for predictive maintenance applications in IoT scenarios
  61. A Novel Framework on Security and Energy Enhancement Based on Internet of Medical Things for Healthcare 5.0
  62. An action–reaction influence model relying on OSN user-generated content
  63. System and Method for Driver Drowsiness Detection Using Behavioral and Sensor-Based Physiological Measures
  64. A Systematic Literature Review on Transfer Learning for Predictive Maintenance in Industry 4.0
  65. Collaborative Energy-Efficient Routing Protocol for Sustainable Communication in 5G/6G Wireless Sensor Networks
  66. DeepSkin: A Deep Learning Approach for Skin Cancer Classification
  67. Route Planning for an Autonomous Robotic Vehicle Employing a Weight-Controlled Particle Swarm-Optimized Dijkstra Algorithm
  68. Spatial Kernel Fuzzy Clustering Methods for Microarray Image Spot Segmentation
  69. A Comparative Performance Evaluation of Various Classification Models for Detection and Classification of Flying Insects
  70. Secure and Efficient Federated Learning by Combining Homomorphic Encryption and Gradient Pruning in Speech Emotion Recognition
  71. Genuine Forgery Signature Detection using Radon Transform and K-Nearest Neighbour
  72. Evaluating eXplainable artificial intelligence tools for hard disk drive predictive maintenance
  73. An anomalous sound detection methodology for predictive maintenance
  74. An end-to-end framework for information extraction from Italian resumes
  75. Evaluating time series encoding techniques for Predictive Maintenance
  76. Prediction of Phishing Websites Using AI Techniques
  77. Fault diagnosis in industrial rotating equipment based on permutation entropy, signal processing and multi-output neuro-fuzzy classifier
  78. Bridging the gap between complexity and interpretability of a data analytics-based process for benchmarking energy performance of buildings
  79. Community detection over feature-rich information networks: An eHealth case study
  80. Artificial Intelligence in Railway Transport: Taxonomy, Regulations, and Applications
  81. Providing Authentication and Privacy for University Certificates using Smart Contracts in Blockchain Technology
  82. Statistical Channel Model and Systematic Random Linear Network Coding Based QoS Oriented and Energy Efficient UWSN Routing Protocol
  83. Improving Resilience in Cyber-Physical Systems based on Transfer Learning
  84. A literature review of Artificial Intelligence applications in railway systems
  85. A Research Agenda for Smarter Cyber-Physical Systems
  86. Using log analytics and process mining to enable self-healing in the Internet of Things
  87. HyCASTLE: A Hybrid ClAssification System based on Typicality, Labels and Entropy
  88. A comprehensive Benchmark for fake news detection
  89. Analysis of Finger Vein Recognition using Deep Learning Techniques
  90. A novel influence diffusion model under temporal and content constraints on Business Social Network
  91. Classification and Merging Techniques to Reduce Brokerage Using Multi-Objective Optimization
  92. A Survey on Audio-Video Based Defect Detection Through Deep Learning in Railway Maintenance
  93. A Vision of Intelligent Train Control
  94. Automatic Generation of Domain-Aware Control Plane Logic for Software Defined Railway Communication Networks
  95. Prediction of Aptamer Protein Interaction Using Random Forest Algorithm
  96. Securing personal identity using blockchain
  97. Towards Trustworthy Autonomous Systems: Taxonomies and Future Perspectives
  98. COSINER: COntext SImilarity data augmentation for Named Entity Recognition
  99. Deep Learning for HDD Health Assessment: An Application Based on LSTM
  100. Railway Digital Twins and Artificial Intelligence: Challenges and Design Guidelines
  101. Trustworthiness Assessment of Users in Social Reviewing Systems
  102. Deep Learning-Based Community Detection Approach on Multimedia Social Networks
  103. Compositional modeling of railway Virtual Coupling with Stochastic Activity Networks
  104. A Systematic Review of Artificial Intelligence Public Datasets for Railway Applications
  105. Digital twins as run-time predictive models for the resilience of cyber-physical systems: a conceptual framework
  106. Towards symbiotic autonomous systems
  107. Resilience learning through self adaptation in digital twins of human-cyber-physical systems
  108. Machine Learning for Threat Recognition in Critical Cyber-Physical Systems
  109. A Hardware-in-the-Loop Water Distribution Testbed Dataset for Cyber-Physical Security Testing
  110. Software Verification and Validation of Safe Autonomous Cars: A Systematic Literature Review
  111. Virtualization Technology for LoRaWAN Roaming Simulation in Smart Cities
  112. Bayesian Networks for Online Cybersecurity Threat Detection
  113. LoRa WAN Roaming for Intelligent Shipment Tracking
  114. Safety integrity through self-adaptation for multi-sensor event detection: Methodology and case-study
  115. Smart-troubleshooting connected devices: Concept, challenges and opportunities
  116. Low-Power Wide-Area Networks in Intelligent Transportation: Review and Opportunities for Smart-Railways
  117. Towards Model-Based Performability Evaluation of Production Systems
  118. ERTMS/ETCS Virtual Coupling: Proof of Concept and Numerical Analysis
  119. A Deep Learning Approach to Fake News Detection
  120. White Paper on Industry Experiences in Critical Information Infrastructure Security: A Special Session at CRITIS 2019
  121. Data-Driven Fault Diagnosis of Once-through Benson Boilers
  122. A Review of Intelligent Cybersecurity with Bayesian Networks
  123. Complex, Resilient and Smart Systems
  124. Towards Railway Virtual Coupling
  125. Strategies for Social Networks Modeling
  126. From traditional manufacturing and automation systems to holonic intelligent systems
  127. On the development of intelligent railway information and safety systems: an overview of current research
  128. Smart Systems for the Protection of Individuals
  129. Ensuring cyber-security in smart railway surveillance with SHIELD
  130. Ensuring cyber-security in smart railway surveillance with SHIELD
  131. A Novel Influence Diffusion Model based on User Generated Content in Online Social Networks
  132. Railway infrastructure monitoring by drones
  133. Technical Committee Reports: The Future of Homeland Security
  134. Preface to the special issue on Formal Methods for Industrial Critical Systems (FMICS'2014)
  135. Towards Automated Drone Surveillance in Railways: State-of-the-Art and Future Directions
  136. Fuzzy Decision Fusion and Multiformalism Modelling in Physical Security Monitoring
  137. On synergies of cyber and physical security modelling in vulnerability assessment of railway systems
  138. Improving the Dependability of Distributed Surveillance Systems Using Diverse Redundant Detectors
  139. Non-Markovian Performability Evaluation of ERTMS/ETCS Level 3
  140. Using Bayesian Networks to evaluate the trustworthiness of ‘2 out of 3’ decision fusion mechanisms in multi-sensor applications
  141. Formal methods for railway control systems
  142. Towards Model-Driven V&V assessment of railway control systems
  143. A MULTIFORMALISM MODULAR APPROACH TO ERTMS/ETCS FAILURE MODELING
  144. A Petri Net Pattern-Oriented Approach for the Design of Physical Protection Systems
  145. Formal Methods for Industrial Critical Systems
  146. Enabling the usage of UML in the verification of railway systems: The DAM-rail approach
  147. SAFECOMP'11 post-conference special issue
  148. Effective Surveillance for Homeland Security
  149. Challenges and Emerging Paradigms for Augmented Surveillance
  150. White Paper on Industrial Applications of Computer Vision and Pattern Recognition
  151. Theory and Practice of Model Transformations
  152. Automatic Train Protection Systems
  153. Trustworthiness Evaluation of Multi-sensor Situation Recognition in Transit Surveillance Scenarios
  154. Performance Evaluation of Video Analytics for Surveillance On-Board Trains
  155. Petri Net Modelling of Physical Vulnerability
  156. Empty Vehicle Detection with Video Analytics
  157. Critical Infrastructure Security: Assessment, Prevention, Detection, Response
  158. Critical Infrastructure Security edited by Francesco Flammini
  159. Freight Train monitoring: A Case-Study for the pSHIELD Project
  160. Formal Methods for Intelligent Transportation Systems
  161. Evaluating the Effects of MJPEG Compression on Motion Tracking in Metro Railway Surveillance
  162. Model-Driven V&V Processes for Computer Based Control Systems: A Unifying Perspective
  163. On the use of models for the dependability and security of transit systems and infrastructures: a multi-year industrial experience report
  164. Railway Safety, Reliability, and Security
  165. The Role of Formal Methods in Software Development for Railway Applications
  166. A robust approach for on-line and off-line threat detection based on event tree similarity analysis
  167. Modeling of Railway Logics for Reverse Engineering, Verification and Refactoring
  168. Augmenting Surveillance System Capabilities by Exploiting Event Correlation and Distributed Attack Detection
  169. Model-Driven Availability Evaluation of Railway Control Systems
  170. On the Use of Semantic Technologies to Model and Control Security, Privacy and Dependability in Complex Systems
  171. Computer Safety, Reliability, and Security
  172. Optimisation of security system design by quantitative risk assessment and genetic algorithms
  173. Reducing Complexity of Data Flow Testing in the Verification of a IEC-62304 Flexible Workflow System
  174. Towards Wireless Sensor Networks for railway infrastructure monitoring
  175. Multiformalism techniques for critical infrastructure modelling
  176. A new modeling approach to the safety evaluation of N-modular redundant computer systems in presence of imperfect maintenance
  177. Dependable integrated surveillance systems for the physical security of metro railways
  178. Model-Based Approaches for Railway Safety, Reliability and Security: The Experience of Ansaldo STS
  179. A Study on Multiformalism Modeling of Critical Infrastructures
  180. Quantitative Security Risk Assessment and Management for Railway Transportation Infrastructures
  181. Automatic instantiation of abstract tests on specific configurations for large critical control systems
  182. The software architecture of the OsMoSys Multisolution Framework
  183. UML Based Reverse Engineering for the Verification of Railway Control Logics
  184. Using repairable fault trees for the evaluation of design choices for critical repairable systems
  185. A Grey-Box Approach to the Functional Testing of Complex Automatic Train Protection Systems
  186. A Hybrid Testing Methodology for Railway Control Systems
  187. Wireless Sensor Data Fusion for Critical Infrastructure Security
  188. The Simulation of Anomalies in the Functional Testing of the ERTMS/ETCS Trackside System