All Stories

  1. Unsupervised Machine Learning Using Cerebrospinal Fluid Proteomics for Understanding Parkinson’s Disease Progression
  2. Exploring the Boundaries of Resource-Constrained AIoT: Tiny Machine Learning for Condition Monitoring using 8-bit and 32-bit Microcontrollers
  3. Deep Learning Analysis of Figure Copying Tasks for Parkinson’s Disease Detection with GAN-Based Data Augmentation
  4. Improving ALS detection and cognitive impairment stratification with attention-enhanced deep learning models
  5. Improving ALS Detection and Cognitive Impairment Stratification with Attention-Enhanced Deep Learning Models
  6. Deep learning-based virtual H& E staining from label-free autofluorescence lifetime images
  7. Miniaturised and Flexible Patch for Continuous Tremor Monitoring U sing Machine Learning
  8. Impact of Loss Functions on Label-free Virtual H&E Staining
  9. Audio-Aided Learning Framework for Image Classification with Limited Training Images
  10. Statistical analysis for the development of a Deep Learning model for the classification of images with TDP-43 pathology
  11. Applications of machine learning in time-domain fluorescence lifetime imaging: a review
  12. Quantification of Matching Results for Autofluorescence Intensity Images and Histology Images
  13. Deep learning-assisted co-registration of full-spectral autofluorescence lifetime microscopic images with H&E-stained histology images
  14. A layer-level multi-scale architecture for lung cancer classification with fluorescence lifetime imaging endomicroscopy
  15. Evaluation of Recurrent Neural Network Models for Parkinson's Disease Classification Using Drawing Data
  16. Multi-Scale Aggregated-Dilation Network for ex-vivo Lung Cancer Detection with Fluorescence Lifetime Imaging Endomicroscopy
  17. Parkinson’s disease diagnosis using convolutional neural networks and figure-copying tasks
  18. Classification of SARS-CoV-2 and non-SARS-CoV-2 using machine learning algorithms
  19. Fluorescence lifetime imaging endomicroscopy based ex-vivo lung cancer prediction using multi-scale concatenated-dilation convolutional neural networks
  20. The True Online Continuous Learning Automation (TOCLA) in a continuous control benchmarking of actor-critic algorithms
  21. Deep Learning in ex-vivo Lung Cancer Discrimination using Fluorescence Lifetime Endomicroscopic Images
  22. Fluorescence Lifetime Endomicroscopic Image-based ex-vivo Human Lung Cancer Differentiation Using Machine Learning
  23. SOPHIA: Soft Orthotic Physiotherapy Hand Interactive Aid
  24. Robotic devices and brain-machine interfaces for hand rehabilitation post-stroke
  25. Online/offline evolutionary algorithms for dynamic urban green space allocation problems
  26. Exploring diagnostic models of Parkinson's disease with multi-objective regression
  27. Evolutionary algorithms under noise and uncertainty: A location-allocation case study
  28. Combining Soft Robotics and Brain-Machine Interfaces for Stroke Rehabilitation
  29. A Multi-Objective Approach to Predicting Motor and Cognitive Deficit in Parkinson's Disease Patients
  30. Using Multiobjective Evolutionary Algorithms to Understand Parkinson's Disease
  31. Genetic algorithm evaluation of green search allocation policies in multilevel complex urban scenarios
  32. Evolving Optimal Spatial Allocation Policies for Complex and Uncertain Environments
  33. Evolving Urbanisation Policies - Using a Statistical Model to Accelerate Optimisation over Agent-based Simulations
  34. A fast approximative approach for the Vehicle Routing Problem