All Stories

  1. Safe speeds in rear-end collisions: Injury-risk thresholds from population-weighted event data recorder analysis
  2. Context-aware quantitative risk assessment machine learning model for drivers distraction
  3. A Network-Based Epidemic Simulation Model for Assessing Non-pharmaceutical Interventions
  4. A Multimodal Ensemble-Based Framework for Detecting Fake News Using Visual and Textual Features
  5. A Survey of the Application of Explainable Artificial Intelligence in Biomedical Informatics
  6. A joint learning framework for fake news detection
  7. Multi-scale Feature Fusion-based Dynamic Framework using Continual Learning to Identify Text Generated by Multiple Large Language Models
  8. Creating Synthetic Test Data for Rail Design Tools – The Case of Linear Scheme Plans
  9. Enhancing Cardiac Cell Networks Segmentation via Hybrid Supervised and Zero-Shot Strategies
  10. Explainable breast cancer prediction from 3-dimensional dynamic contrast-enhanced magnetic resonance imaging
  11. A Multi-Agent System for Optimal Train Scheduling in Single-Track Railways
  12. Using generative artificial intelligence to enhance the performance of disadvantaged students in secondary education
  13. Assessing Climate Transition Risks in the Colombian Processed Food Sector: A Fuzzy Logic and Multi-Criteria Decision-Making Approach
  14. An investigation on the use of Large Language Models for hyperparameter tuning in Evolutionary Algorithms
  15. Hybrid Summarization of Medical Records for Predicting Length of Stay in the Intensive Care Unit
  16. Using Artificial Intelligence to Predict the Financial Impact of Climate Transition Risks Within Organisations
  17. Segmenting Breast Ultrasound Scans Using a Generative Adversarial Network Embedding U-Net
  18. The Importance of Being Constrained: Dealing with Infeasible Solutions in Differential Evolution and Beyond
  19. Towards Improving Single-Cell Segmentation in Heterogeneous Configurations of Cardiomyocyte Networks
  20. Extended Reality, Augmented Users, and Design Implications for Virtual Learning Environments
  21. Forecasting Climate Transition Regulatory and Market Risk Variables with Machine Learning
  22. Patterns of Convergence and Bound Constraint Violation in Differential Evolution on SBOX-COST Benchmarking Suite
  23. Deep BIAS: Detecting Structural Bias using Explainable AI
  24. Modular Differential Evolution
  25. Data-Driven Design for Anomaly Detection in Network Access Control Systems
  26. Preface to “Swarm and Evolutionary Computation—Bridging Theory and Practice”
  27. An evolutionary intelligent control system for a flexible joints robot
  28. Direct deduction of chemical class from NMR spectra
  29. Driving in the Rain: A Survey toward Visibility Estimation through Windshields
  30. Metaheuristics in the Balance: A Survey on Memory‐Saving Approaches for Platforms with Seriously Limited Resources
  31. A Multispectral Image Classification Framework for Estimating the Operational Risk of Lethal Wilt in Oil Palm Crops
  32. An AI-Based Support System for Microgrids Energy Management
  33. An Intelligent Optimised Estimation of the Hydraulic Jump Roller Length
  34. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  35. A new moving peaks benchmark with attractors for dynamic evolutionary algorithms
  36. An Empirical Investigation of Multinationality and Stock Price Crash Risk for MNCs in China
  37. Special Issue “Emerging Artificial Intelligence (AI) Technologies for Learning”
  38. Particle Swarm Optimisation in Practice: Multiple Applications in a Digital Microscope System
  39. Towards a software tool for general meal optimisation
  40. Analysis of how bias in search algorithms can affect the search behaviour
  41. A Proposed VR Platform for Supporting Blended Learning Post COVID-19
  42. Regression Analysis of Macroeconomic Conditions and Capital Structures of Publicly Listed British Firms
  43. Leveraging Immersive Technologies to Support Blended Learning Post Covid-19
  44. Applications of computational intelligence‐based systems for societal enhancement
  45. Analysis of Structural Bias in Differential Evolution Configurations
  46. An Evolutionary Intelligent Control System for a Flexible Joints Robot
  47. Differential evolution outside the box
  48. Using Optimisation Meta-Heuristics for the Roughness Estimation Problem in River Flow Analysis
  49. SCIPS: A serious game using a guidance mechanic to scaffold effective training for cyber security
  50. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  51. BIAS: A Toolbox for Benchmarking Structural Bias in the Continuous Domain
  52. Fuzzy convolutional deep-learning model to estimate the operational risk capital using multi-source risk events
  53. Emergence of structural bias in differential evolution
  54. Is there anisotropy in structural bias?
  55. Using self‐organising maps to predict and contain natural disasters and pandemics
  56. Evolving Deep Learning Convolutional Neural Networks for Early COVID-19 Detection in Chest X-ray Images
  57. Cooperative and distributed decision-making in a multi-agent perception system for improvised land mines detection
  58. Re-sampled inheritance compact optimization
  59. Shallow buried improvised explosive device detection via convolutional neural networks
  60. A Multi-Agent System for Modelling the Spread of Lethal Wilt in Oil-Palm Plantations
  61. A Neural Network for Interpolating Light-Sources
  62. An Experimental Study of Prediction Methods in Robust optimization Over Time
  63. Can Single Solution Optimisation Methods Be Structurally Biased?
  64. Identifying Parkinson’s Disease Through the Classification of Audio Recording Data
  65. Oil Palm Detection via Deep Transfer Learning
  66. Training Data Set Assessment for Decision-Making in a Multiagent Landmine Detection Platform
  67. The SOS Platform: Designing, Tuning and Statistically Benchmarking Optimisation Algorithms
  68. A product-centric data mining algorithm for targeted promotions
  69. Using Data Mining in Educational Administration: A Case Study on Improving School Attendance
  70. Efficient Computation of the Nonlinear Schrödinger Equation with Time-Dependent Coefficients
  71. Can Single Solution Optimisation Methods Be Structurally Biased?
  72. A Robust Decision-Making Framework Based on Collaborative Agents
  73. Can Compact Optimisation Algorithms Be Structurally Biased?
  74. A Clustering System for Dynamic Data Streams Based on Metaheuristic Optimisation
  75. An Optimisation-Driven Prediction Method for Automated Diagnosis and Prognosis
  76. A study on rotation invariance in differential evolution
  77. Infeasibility and structural bias in differential evolution
  78. Validation of convolutional layers in deep learning models to identify patterns in multispectral images
  79. Infeasibility and Structural Bias in Differential Evolution
  80. HyperSPAM: A study on hyper-heuristic coordination strategies in the continuous domain
  81. A comparison of three differential evolution strategies in terms of early convergence with different population sizes
  82. Compact Optimization Algorithms with Re-Sampled Inheritance
  83. Improving (1+1) covariance matrix adaptation evolution strategy: A simple yet efficient approach
  84. Structural bias in differential evolution: A preliminary study
  85. Application of uninorms to market basket analysis
  86. Rotation Invariance and Rotated Problems: An Experimental Study on Differential Evolution
  87. Large Scale Problems in Practice: The Effect of Dimensionality on the Interaction Among Variables
  88. Continuous Parameter Pools in Ensemble Differential Evolution
  89. Cluster-Based Population Initialization for differential evolution frameworks
  90. Structural bias in population-based algorithms
  91. Multicriteria adaptive differential evolution for global numerical optimization
  92. A Separability Prototype for Automatic Memes with Adaptive Operator Selection
  93. An analysis on separability for Memetic Computing automatic design
  94. A Differential Evolution Framework with Ensemble of Parameters and Strategies and Pool of Local Search Algorithms
  95. MULTI-STRATEGY COEVOLVING AGING PARTICLE OPTIMIZATION
  96. Re-sampled inheritance search: high performance despite the simplicity
  97. A CMA-ES super-fit scheme for the re-sampled inheritance search
  98. Single particle algorithms for continuous optimization
  99. Super-fit Multicriteria Adaptive Differential Evolution
  100. Memory-saving memetic computing for path-following mobile robots
  101. Micro-differential evolution with extra moves along the axes
  102. Parallel memetic structures
  103. Re-sampling search: A seriously simple memetic approach with a high performance
  104. Focusing the search: a progressively shrinking memetic computing framework
  105. Compact Differential Evolution Light: High Performance Despite Limited Memory Requirement and Modest Computational Overhead
  106. Meta-Lamarckian learning in three stage optimal memetic exploration
  107. The importance of being structured: A comparative study on multi stage memetic approaches
  108. Three variants of three Stage Optimal Memetic Exploration for handling non-separable fitness landscapes
  109. Robot Base Disturbance Optimization with Compact Differential Evolution Light