All Stories

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