All Stories

  1. A Comprehensive Investigation of Risk Association of eNOS and Susceptibility of Migraine
  2. Meta-Health: Learning-to-Learn (Meta-learning) as a Next Generation of Deep Learning Exploring Healthcare Challenges and Solutions for Rare Disorders: A Systematic Analysis
  3. LiteCovidNet : A lightweight deep neural network model for detection of COVID ‐19 using X‐ray images
  4. Designing Contactless Automated Systems Using IoT, Sensors, and Artificial Intelligence to Mitigate COVID-19
  5. The complexities of migraine: A debate among migraine researchers: A review
  6. CheXImageNet: a novel architecture for accurate classification of Covid-19 with chest x-ray digital images using deep convolutional neural networks
  7. Convolutional bi-directional long-short-term-memory based model to forecast COVID-19 in Algeria
  8. Black fungus immunosuppressive epidemic with Covid-19 associated mucormycosis (zygomycosis): a clinical and diagnostic perspective from India
  9. CoBiD-net: a tailored deep learning ensemble model for time series forecasting of covid-19
  10. NestEn_SmVn: boosted nested ensemble multiplexing to diagnose coronary artery disease
  11. Deep-LSTM ensemble framework to forecast Covid-19: an insight to the global pandemic
  12. GBoost: A novel Grading-AdaBoost ensemble approach for automatic identification of erythemato-squamous disease
  13. A nested stacking ensemble model for predicting districts with high and low maternal mortality ratio (MMR) in India
  14. Time series forecasting of Covid-19 using deep learning models: India-USA comparative case study
  15. Classification of Maternal Healthcare Data using Nave Bayes