All Stories

  1. Synergistic Phishing Intrusion Detection: Integrating Behavioral and Structural Indicators with Hybrid Ensembles and XAI Validation
  2. FNEM: A Federated-Neuro-Symbolic Edge Approach for Explainable Anomaly Detection in IoT Networks
  3. Lightweight Neural Anomaly Detection for Resource-Constrained Edge-ICN Environments: A Systematic Literature Review
  4. Addressing Class Imbalance in Malware Detection with Cost-Sensitive Learning: A Framework for Enhanced Performance
  5. Evaluating Lightweight Neural Models for Edge-Based Anomaly Detection: Performance and Efficiency Trade-offs
  6. An optimized ensemble model for predicting average localization error of wireless sensor networks
  7. Developing A System for Automatic Prediction of Polycystic Ovary Syndrome Using Machine Learning
  8. Customer Credit Risk: Application and Evaluation of Machine Learning and Deep Learning Models
  9. Predicting Cyberbullying Behavior in Social Media for Enhancing Online Safety
  10. Predicting Happiness Index Using Machine Learning
  11. Predicting the Risk Level of a Loan Based on the Customer's Personal Factors Using Machine Learning Models
  12. A Comparative Study of Machine Learning Techniques for Nuanced Weather Prediction
  13. A Systematic Review on Machine Learning (ML) and Artificial Intelligence (AI) in Understanding and Assessing Women's Health
  14. Opinion Mining of Online Shopping Products Reviews Using Machine Learning
  15. Smart Temperature Management in Buildings using Predictive Analysis by Machine Learning Algorithms
  16. Students' Flexibility in Online Education Using Machine Learning
  17. A predictive analytics model for crop suitability and productivity with tree-based ensemble learning
  18. A bibliometric analysis of technology in sustainable healthcare: Emerging trends and future directions
  19. CCMT: Dataset for crop pest and disease detection
  20. Artificial Intelligence Application in Law: A Scientometric Review
  21. Early Detection of Stroke for Ensuring Health and Well-Being Based on Categorical Gradient Boosting Machine
  22. Intelligent Computational Model for Accurate and Early Diagnosis of Heart Failure
  23. Predicting diabetes using Cohen's Kappa blending ensemble learning
  24. A Smart Water Management System for Detecting Household Water Wastage
  25. Maize Disease Detection Using Convolutional Neural Network
  26. A hybrid boosting ensemble model for predicting maternal mortality and sustaining reproductive
  27. BLOCOVID: A blockchain-based COVID-19 digital vaccination certificate verification system
  28. Uncertainty Estimation Using Variational Mixture of Gaussians Capsule Network for Health Image Classification
  29. A Bibliometric Analysis of Soft Computing Technology Applications Trends and Characterisation in Educational Research: Africa
  30. Empirical assessment of COVID-19 infections and information diffusion: a data science approach
  31. A Scalable RF-XGBoost Framework for Financial Fraud Mitigation
  32. Stacknet Based Decision Fusion Classifier for Network Intrusion Detection
  33. Network Intrusion Detection with StackNet: A phi coefficient Based Weak Learner Selection Approach
  34. Enhancing Flood Prediction using Ensemble and Deep Learning Techniques
  35. Long Short-Term Memory Network for Predicting Exchange Rate of the Ghanaian Cedi
  36. Academic Performance Modelling with Machine Learning Based on Cognitive and Non-Cognitive Features
  37. An empirical assessment of different kernel functions on the performance of support vector machines
  38. Prediction of social media effects on students’ academic performance using Machine Learning Algorithms (MLAs)
  39. Path planning for mobile robots using Morphological Dilation Voronoi Diagram Roadmap algorithm
  40. A Comparative Empirical Analysis of 21 Machine Learning Algorithms for Real-World Applications in Diverse Domains
  41. Applications of artificial intelligence in engineering and manufacturing: a systematic review
  42. A novel multi-source information-fusion predictive framework based on deep neural networks for accuracy enhancement in stock market prediction
  43. CONCEPTUAL FRAMEWORK FOR EFFICIENT 802.11 A/B/G/N WIRELESS NETWORKS INFRASTRUCTURE TO IMPROVE CAMPUS INTERNET CONNECTIVITY
  44. The COVID-19 outbreak and effects on major stock market indices across the globe: A machine learning approach
  45. Electricity load forecasting: a systematic review
  46. Efficient stock market prediction
  47. Predicting Stock Market Price Movement Using Sentiment Analysis: Evidence From Ghana
  48. FORECASTING ELECTRICITY CONSUMPTION OF RESIDENTIAL USERS BASED ON LIFESTYLE DATA USING ARTIFICIAL NEURAL NETWORKS
  49. A comprehensive evaluation of ensemble learning for stock-market prediction
  50. Assessment and prediction of earthing resistance in domestic installation
  51. Synchronising Social Media into Teaching and Learning Settings at Tertiary Education
  52. A Web-Based Skin Disease Diagnosis Using Convolutional Neural Networks
  53. Survey of Websites and Web Application Security Threats Using Vulnerability Assessment
  54. A systematic review of fundamental and technical analysis of stock market predictions
  55. Random Forest Based Feature Selection of Macroeconomic Variables for Stock Market Prediction
  56. Effective Cryptographic Technique for Securing Cloud Storage Systems
  57. Investigating Websites and Web Application Vulnerabilities: Webmaster’s Perspective
  58. Using LSB Steganography Technique and 256 bits Key Length AES Algorithm for High Secured Information Hiding
  59. State of Affairs in ICTs Usage within the Hospitality Industry (Guest House & Hotel) Operations: A Case of Brong Ahafo Region Ghana
  60. Evaluation of Server Performance in Cloud Computing On Virtual Network Infrastructure: Using Riverbed Simulator
  61. Implementation of Advanced Encryption Standard Algorithm with Key Length of 256 Bits for Preventing Data Loss in an Organization
  62. Detection of Plant Leaf Disease Employing Image Processing and Gaussian Smoothing Approach
  63. Investigating ATM Frauds In Sunyani Municipality: Customer’s Perspective
  64. Improving Security Levels In Automatic Teller Machines (ATM) Using Multifactor Authentication