Domain-incremental white blood cell classification with privacy-aware continual learning
DatasetsWe utilize a series of WBC datasets demonstrating challenging domain shifts commonly found in clinical settings, which we refer to...
classification
Leveraging machine learning techniques for image classification and revealing social media insights into human engagement with urban wild spaces
This research aims to explore human engagement with urban wild spaces by leveraging the vast amount of human-generated data available...
Integrating deep learning and machine learning for ceramic artifact classification and market value prediction
This study adopts a three-stage pipeline: dataset preparation, ceramic classification, and price prediction, as shown in Fig. 1. The stages...
Development of machine learning models for gait-based classification of incomplete spinal cord injuries and cauda equina syndrome
Data collectionIn this study, we used gait data collected from 2013 to 2021 at Chungnam National University Hospital from patients...
Impact of transfer learning methods and dataset characteristics on generalization in birdsong classification
The data processing, methodology, and evaluation workflow for this study are outlined in Fig. 1.Fig. 1Overview of the data processing, methodology,...
Integrating fault detection and classification in microgrids using supervised machine learning considering fault resistance uncertainty
ML and SVMThe rapid development of communication and information technology in modern society progressively produces data at an amazing pace....
