All Stories

  1. Interactive Visualisation of Complex Street Network Graphs from OSM in New Zealand
  2. Residual Learning Inspired Crossover Operator and Strategy Enhancements for Evolutionary Multitasking
  3. Dynamic Car-Following Model With Jerk Suppression for Highway Autonomous Driving
  4. Meta-Learning Inspired Single-Step Generative Model for Expensive Multitask Optimization Problems
  5. Fall Detection Using Multiple Low-Resolution Thermopile Sensors and Machine Learning
  6. A Survey of Scenario Generation for Automated Vehicle Testing and Validation
  7. A generalisability theory approach to quantifying changes in psychopathology among ultra-high-risk individuals for psychosis
  8. Geometry of Textual Data Augmentation: Insights from Large Language Models
  9. Dynamic Quantification With Constrained Error Under Unknown General Dataset Shift
  10. Maximizing Social Influence With Minimum Information Alteration
  11. Analysis and design of antithetic proportional-integral-derivative biocontrol-systems with species dilution
  12. BriskChain: Decentralized Function Composition for High-Performance Serverless Computing
  13. RNA-sequencing of peripheral whole blood of individuals at ultra-high-risk for psychosis – A longitudinal perspective
  14. Filter and Wrapper Stacking Ensemble (FWSE): a robust approach for reliable biomarker discovery in high-dimensional omics data
  15. ABEM: An adaptive agent-based evolutionary approach for influence maximization in dynamic social networks
  16. Investigation of social and cognitive predictors in non-transition ultra-high-risk’ individuals for psychosis using spiking neural networks
  17. A Study of Neural Collapse for Text Classification
  18. Transformer With Bidirectional GRU for Nonintrusive, Sensor-Based Activity Recognition in a Multiresident Environment
  19. Locally Weighted Ensemble-Detection-Based Adaptive Random Forest Classifier for Sensor-Based Online Activity Recognition for Multiple Residents
  20. Effects of Similarity Score Functions in Attention Mechanisms on the Performance of Neural Question Answering Systems
  21. Traffic Scenarios for Automated Vehicle Testing: A Review of Description Languages and Systems
  22. Hybrid Fuzzy C-Means CPD-Based Segmentation for Improving Sensor-Based Multiresident Activity Recognition
  23. The Role of RNNs for Contextual Representations
  24. Role of RNNs for Non-sequential Tasks in The Question Answering Context
  25. A systematic review of route optimisation and pre-emption methods for emergency vehicles
  26. Gaussian Process Model Predictive Control of Unknown Nonlinear Systems