All Stories

  1. Formally Guaranteed Control Adaptation for ODD-Resilient Autonomous Systems
  2. A Case Study on Defining Traceable Machine Learning Safety Requirements for an Automotive Perception Component
  3. Cautious optimism: public voices on medical AI and sociotechnical harm
  4. Using Agile Development Practices for Safety-Assured Machine Learning Models in Autonomous Systems
  5. SCALOFT: An Initial Approach for Situation Coverage-Based Safety Analysis of an Autonomous Aerial Drone in a Mine Environment
  6. INSYTE: A Classification Framework for Traditional to Agentic AI Systems
  7. Safety Assurance Challenges for Autonomous Drones in Underground Mining Environments
  8. F020 TAP-HD – a digital tracking study to explore fine motor and eye movements in Huntington’s disease – preliminary findings
  9. Real-time 3D tracking of swimming microbes using digital holographic microscopy and deep learning
  10. Aloft: Self-Adaptive Drone Controller Testbed
  11. Computer Assisted Diagnosis in the Acute Setting: The Emergency Clinician's Perspective
  12. Autonomous Emergency Triage Support System
  13. Medical practitioner perspectives on AI in emergency triage
  14. Time to Die 2: Improved in-game death prediction in Dota 2
  15. Sensors and Data in Mobile Robotics for Localisation
  16. A Survey of Horse Racing Opinions and Perceptions
  17. Time to Die 2: Improved In-Game Death Prediction in Dota
  18. Win Prediction in Multiplayer Esports: Live Professional Match Prediction
  19. On the use of AI for Generation of Functional Music to Improve Mental Health
  20. Deep reinforcement learning for drone navigation using sensor data
  21. How the Business Model of Customizable Card Games Influences Player Engagement
  22. Time to Die: Death Prediction in Dota 2 using Deep Learning
  23. Narrative Bytes
  24. Using association rule mining to predict opponent deck content in android: Netrunner
  25. Hadoop neural network for parallel and distributed feature selection
  26. A Digital Repository and Execution Platform for Interactive Scholarly Publications in Neuroscience
  27. Wireless Sensor Networks for Condition Monitoring in the Railway Industry: A Survey
  28. Short-term prediction of traffic flow using a binary neural network
  29. Outlier Detection in Big Data
  30. A metric for pattern-matching applications to traffic management
  31. The CARMEN software as a service infrastructure
  32. A Binary Neural Network Framework for Attribute Selection and Prediction
  33. Intelligent Decision Support using Pattern Matching
  34. A binary neural shape matcher using Johnson Counters and chain codes
  35. Inducing a perceptual relevance shape classifier
  36. Layout indexing of trademark images
  37. A binary neural decision table classifier
  38. Eliciting Perceptual Ground Truth for Image Segmentation
  39. A binary neural k-nearest neighbour technique
  40. A Survey of Outlier Detection Methodologies
  41. A Survey of Outlier Detection Methodologies
  42. A high performance k-NN approach using binary neural networks
  43. A comparison of standard spell checking algorithms and a novel binary neural approach
  44. Improved AURA k-Nearest Neighbour Approach
  45. A comparison of a novel neural spell checker and standard spell checking algorithms
  46. Hierarchical word clustering — automatic thesaurus generation
  47. An evaluation of standard retrieval algorithms and a binary neural approach
  48. Hierarchical growing cell structures: TreeGCS
  49. A Novel Binary Spell Checker
  50. An evaluation of standard retrieval algorithms and a weightless neural approach
  51. A hardware-accelerated novel IR system
  52. Scalability of a distributed neural information retrieval system