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1. A systematic review and meta-data analysis of clinical data repositories in Africa and beyond: recent development, challenges, and future directions

7. An Empirical Study on Data Sampling Methods in Addressing Class Imbalance Problem in Software Defect Prediction

8. Hybrid Students’ Academic Performance and Dropout Prediction Models Using Recursive Feature Elimination Technique

11. Advances in the Design of Renewable Energy Power Supply for Rural Health Clinics, Case Studies, and Future Directions.

12. Cascade Generalization Based Functional Tree for Website Phishing Detection

13. Optimized Decision Forest for Website Phishing Detection

14. Ensemble-Based Logistic Model Trees for Website Phishing Detection

15. Investigative Study of Unigram and Bigram Features for Short Message Spam Detection

16. Data Sampling-Based Feature Selection Framework for Software Defect Prediction

17. Deep Learning Solutions for Protein: Recent Development and Future Directions

24. Hybrid Rule-Based Model for Phishing URLs Detection

25. Modeling and Simulation of Total Attenuation of P2P NLOS 5G and Beyond Wireless Communication Systems Operating in FR2 Bands in Nigeria

26. Terrestrial Radio Propagation Research Datasets Repository

27. Signal Attenuation Modeling and Simulation for 5G and Beyond P2P Wireless Communication Networks in FR2 Bands: Comparison within M-Region in Nigeria

28. Investigation of the Impact of Height and Bandwidth on Path Loss Exponent of 5G FR1 Wireless Networks at 800, 3500, and 5900 MHz

29. Contributors

32. Application of computational intelligence models in IoMT big data for heart disease diagnosis in personalized health care

35. 5G Frequency Standardization, Technologies, Channel Models, and Network Deployment: Advances, Challenges, and Future Directions

36. Privacy Protection of Synthetic Smart Grid Data Simulated via Generative Adversarial Networks

37. Expert System and Decision Support System for Electrocardiogram Interpretation and Diagnosis: Review, Challenges and Research Directions

38. Application of Machine Learning Algorithms to Path Loss Modeling: A Review

40. A Review on Rain Signal Attenuation Modeling, Analysis and Validation Techniques: Advances, Challenges and Future Direction

41. A systematic review and Meta-data analysis on the applications of Deep Learning in Electrocardiogram.

42. Effect of Training Algorithms and Network Architecture on the Performance of Multi-Band ANN-Based Path Loss Prediction Model

43. Ann-Based Model for Multiband Path Loss Prediction in Built-Up Environments

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