All Stories

  1. Prediction of Arsenic Removal from Contaminated Water Using Artificial Neural Network Model
  2. Measuring and Assessing Performance of Mobile Broadband Networks and Future 5G Trends
  3. Attacks to Automatous Vehicles: A Deep Learning Algorithm for Cybersecurity
  4. A Bidirectional Long Short-Term Memory Model Algorithm for Predicting COVID-19 in Gulf Countries
  5. Automated Diagnosis of Chest X-Ray for Early Detection of COVID-19 Disease
  6. Deep Learning Algorithms for Detection and Classification of Gastrointestinal Diseases
  7. Botnet Attack Detection by Using CNN-LSTM Model for Internet of Things Applications
  8. Intrusion Detection System to Advance Internet of Things Infrastructure-Based Deep Learning Algorithms
  9. Diagnosis of Chronic Kidney Disease Using Effective Classification Algorithms and Recursive Feature Elimination Techniques
  10. Developing a Recognition System for Diagnosing Melanoma Skin Lesions Using Artificial Intelligence Algorithms
  11. Wearable Wireless Body Area Networks for Medical Applications
  12. Development of Integrated Neural Network Model for Identification of Fake Reviews in E-Commerce Using Multidomain Datasets
  13. Using Sequence Mining to Predict Complex Systems: A Case Study in Influenza Epidemics
  14. Deep Learning and Holt-Trend Algorithms for Predicting Covid-19 Pandemic
  15. Developing a Recognition System for Classifying COVID-19 Using a Convolutional Neural Network Algorithm
  16. Human-Animal Affective Robot Touch Classification Using Deep Neural Network
  17. Modelling the Psychological Impact of COVID-19 in Saudi Arabia Using Machine Learning
  18. Water Quality Prediction Using Artificial Intelligence Algorithms
  19. Adaptive Anomaly Detection Framework Model Objects in Cyberspace
  20. Modeling of Compressive Strength of Sustainable Self-Compacting Concrete Incorporating Treated Palm Oil Fuel Ash Using Artificial Neural Network
  21. Soft Clustering for Enhancing the Diagnosis of Chronic Diseases over Machine Learning Algorithms
  22. Intelligent Hybrid Model to Enhance Time Series Models for Predicting Network Traffic
  23. Clustering to Enhance Network Traffic Forecasting
  24. Enhancement of Single Moving Average Time Series Model Using Rough k-Means for Prediction of Network Traffic.
  25. Integration of time series models with soft clustering to enhance network traffic forecasting
  26. An Integrated Model for Prediction of Loading Packets in Network Traffic
  27. Intelligent Aggregation and Time Series Smoothing