## 6 Conclusions  
The comprehensive analysis of seismic activities in the Red Sea region, focusing on the interaction between the African and Arabian tectonic plates, underscores the criticality of accurate earthquake parameter estimation. Discrepancies in earthquake data, notably in aspects such as location, depth, and magnitude, are highlighted, underscoring the necessity for a more critical examination of reported information. The diversity in data collection methods, compounded by the uneven distribution of seismic networks, significantly affects the consistency and reliability of seismic data. Machine learning methodologies, particularly the Isolation Forest algorithm, were employed to examine the anomalous patterns of seismic activity in the region. This technique was instrumental in identifying and filtering out anomalous parameters, thereby improving the accuracy in the computation of seismicity parameters, including the magnitude of completeness (\(M_{c}\)), \(a\)-value, and \(b\)-value. This study presents a comprehensive analysis of seismic parameters, particularly focusing on the distribution and implications of \(b\)-values and \(a\)-values in specific geographical regions. The observed variability in \(b\)-values, spanning a range from 0.55 to 0.93, elucidates the complex nature of seismic activity and highlights the significant influence of geological and geophysical factors such as stress field heterogeneity, material property variations, and crustal characteristics. Particularly, the lower \(b\)-values in the Gulf of Aqaba and the Gulf of Suez, as compared to the fluctuating patterns observed in the broader Northern Red Sea region, align with prior research, underscoring the consistency and reliability of these findings. Moreover, the study's insights into the \(a\)-values, which range from 3.97 to 5.5, offer a nuanced understanding of seismic activity levels. These values are shaped by factors including the extent of deformation areas, the duration of the observational period, and the range and frequency of seismic events. The alignment of these findings with earlier studies not only reinforces their validity but also contributes to a deeper understanding of seismic risk assessment in these regions. Future research should aim to further explore the intricate relationships between these seismic parameters and their environmental and geological contexts, thereby enhancing our capability to predict and mitigate seismic hazards effectively.  
Conceptualization, methodology, software development, validation, data collection, analysis, and writing: S.S.R.M. Conceptualization, review, and editing: M.H.Y. and M.M. Data collection, Analysis A.M.F. and B.E. All authors have read and agreed to the published version of the manuscript.  
The authors would like to thank the Research Supporting Project number (RSP2024R89), King Saud University, Riyadh, Saudi Arabia for funding this work.  
Not applicable.  
The data presented in this study are available upon reasonable request from the first author.  
The authors would like to express their sincere gratitude to the Egyptian National Seismic Network (ENSN) at the National Research Institute of Astronomy and Geophysics (NRIAG) for their invaluable assistance with this research. The authors would like to thank the Research Supporting Project number (RSP2024R89), King Saud University, Riyadh, Saudi Arabia for funding this work.  
The authors declare no conflict of interest.