All Stories

  1. Pre-Trained Transformer-Based Models for Text Classification Using Low-Resourced Ewe Language
  2. A robust predictive diagnosis model for diabetes mellitus using Shapley-incorporated machine learning algorithms
  3. Federated-Based Deep Reinforcement Learning (Fed-DRL) for Energy Management in a Distributive Wireless Network
  4. Efficient Adaptive Convolutional Model Based on Label Embedding for Text Classification Using Low Resource Languages
  5. Attention Based BiGRU-2DCNN with Hunger Game Search Technique for Low-Resource Document-Level Sentiment Classification
  6. SDN-Based Cryptographic Client Authentication: A New Approach to DHCP Starvation Mitigation
  7. Federated Lung Cancer Prediction Using Histopathological Medical Images
  8. Dual_Pachi: Attention-based dual path framework with intermediate second order-pooling for Covid-19 detection from chest X-ray images
  9. LCSB-inception: Reliable and effective light-chroma separated branches for Covid-19 detection from chest X-ray images
  10. Segmentation of Glioblastoma Multiforme Via - Attention Neural Network
  11. Multi-Topic Categorization in a Low-Resource Ewe Language: A Modern Transformer Approach
  12. Predicting students’ continuance use of learning management system at a technical university using machine learning algorithms
  13. Energy Saving in 5G Substations Using Edge Caching for Adaptive Immersive Media Streaming
  14. Algorithmic Generation of Positive Samples for Compound-Target Interaction Prediction
  15. Transfer Learning for Autonomous Cell Activation Based on Relational Reinforcement Learning With Adaptive Reward
  16. Applying CNN with Extracted Facial Patches using 3 Modalities to Detect 3D Face Spoof
  17. Adoption of Mobile Technology Application at a Technical University in Ghana
  18. FEATURIZATION OF DRUG COMPOUNDS AND TARGET PROTEINS FOR DRUG-TARGET INTERACTION PREDICTION