Aims and Scope:

Advances in Biometrics & Biostatistics: Open Access (ABBOA) stands as a reputable and peer-reviewed journal dedicated to disseminating cutting-edge research in the fields of biometrics and biostatistics. As an esteemed open-access publication, ABBOA offers a platform for researchers, scientists, and practitioners to share their findings and contribute to the advancement of effective methods for data analysis and interpretation.

ABBOA encompasses a wide range of topics crucial to the disciplines of biometrics and biostatistics. Statistical methods serve as a cornerstone, with a focus on the development and application of innovative techniques for data analysis. The journal welcomes articles exploring various statistical approaches, including but not limited to regression analysis, survival analysis, multivariate analysis, and Bayesian methods. Research studies advancing the field of biostatistics equip researchers and practitioners with the tools necessary to extract meaningful insights from complex biological and clinical data.

Data analysis plays a pivotal role in biometrics and biostatistics, and ABBOA recognizes its significance in driving evidence-based decision making. The journal encourages research on the application of statistical methods and computational algorithms to analyze diverse datasets, including genetic data, clinical trials data, population health data, and imaging data. Investigations focusing on bioinformatics, high-throughput data analysis, and the integration of omics data contribute to advancements in personalized medicine and precision healthcare.

Machine learning, a rapidly evolving field, has transformative potential in biometrics and biostatistics. ABBOA welcomes articles exploring the application of machine learning algorithms, such as artificial neural networks, support vector machines, and deep learning models, to analyze and interpret complex biological and clinical datasets. Research studies on the development of novel machine learning methods, feature selection techniques, and model validation approaches further enhance the accuracy and reliability of predictive models in healthcare and biometric applications.

The integration of biometrics, a field that involves the identification and verification of individuals based on unique physiological or behavioral characteristics, is another area of interest for ABBOA. The journal encourages articles that explore advancements in biometric modalities, including fingerprint recognition, facial recognition, iris recognition, voice recognition, and gait analysis. Research studies investigating the development of robust biometric systems, biometric template protection techniques, and biometric fusion methods contribute to the enhancement of security systems, access control, and forensic investigations.

ABBOA recognizes the interdisciplinary nature of biometrics and biostatistics and encourages the collaboration of various scientific disciplines. The journal invites articles that foster the integration of biometric technologies and statistical methodologies with other fields such as computer science, genetics, epidemiology, and clinical research. Research studies focusing on the development of integrated systems, data-driven healthcare solutions, and precision medicine applications broaden the scope of biometrics and biostatistics and enhance their impact on patient care and population health.

The peer-review process of ABBOA ensures the quality and reliability of published articles. Esteemed reviewers and editors with expertise in biometrics and biostatistics rigorously evaluate submissions, fostering scientific rigor and promoting the publication of high-quality research.

As an open-access journal, ABBOA strives to provide universal access to the latest advancements in biometrics and biostatistics. This accessibility promotes global collaboration, encourages knowledge sharing, and facilitates the translation of research findings into practical applications that positively impact healthcare, biometric systems, and data-driven decision making.

In conclusion, Advances in Biometrics & Biostatistics: Open Access (ABBOA) serves as a prominent platform for the dissemination of cutting-edge research in the fields of biometrics and biostatistics. Through its comprehensive scope, rigorous peer-review process, and commitment to open access principles, ABBOA drives advancements in data analysis, statistical methodologies, and biometric technologies.

Classification:

1. Statistical Methodology
2. Epidemiology
3. Statistical Analysis System
4. Statistical Inference
5. Public Health
6. Bayesian Statistics
7. Statistical Analysis
8. Data Analysis
9. Experimental Design
10. Statistical Computing
11. Statistical Modelling
12. Statistical Computations
13. Clinical Trials (Inference)
14. Quality Control
15. Regression Analysis
16. Bioinformatics
17. Multimodal Biometrics
18. Computational Biology
19. Health Services Research
20. Environmental Health
21. Biometric Recognition
22. Fingerprint
23. Footprint
24. Forensic Evidence
25. Gait Lip-movement
26. Liveness Detection
27. Machine Learning
28. Machine Recognition
29. Pattern Recognition
30. Performance Evaluation
31. Sample Synthesis
32. Sensors and Devices
33. Soft Biometrics
34. Surveillance
35. System Design
36. Tongue-print
37. Biometric Authentication for Mobile Computing Applications
38. Multibiometric Authentication
39. Fusion of Multiple Gait Representations
40. Robust Reference Point Detection
41. Fingerprint Verification System
42. Fingerprint Orientation
43. Feature Extraction Algorithm
44. Biological Databases Optimization
45. Analysis of Biomedical Images
46. Biochemical Engineering
47. Data Mining
48. Biological Databases Development
49. Biological Images Analysis
50. Molecular Cell Biology
51. Biomedical Engineering
52. Bioelectromagnetism
53. Biomechanics
54. Principles of Biological Design
55. Systems Physiology
56. Biosignals and Biosystems
57. Survival Analysis