Amira Mouakher
Biographic Data
| ID | 1934658 |
|---|---|
| NAME | Amira Mouakher |
| GIVEN NAMES | Amira |
| FAMILY NAME | Mouakher |
| SIGNATURE | MOUAKHER A |
| AFFILIATIONS | Université de Perpignan |
| ORCID | 0000-0002-1346-3851 |
| VERIFIED | Yes |
| TOTAL WORKS | 2 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 2 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 2024 |
| LATEST PUBLICATION YEAR | 2025 |
| H-INDEX | 0 |
Analytical Geopolitics and Artificial Intelligence as Hybrid Approach
Anticipating international conflicts is critical for geopolitical risk assessment and early warning. Using the Russia – Ukraine crisis as a case study, this paper presents a hybrid approach that combines theory-driven and data-driven forecasting methods. First, an analytical geopolitics framework identifies structural and agent-based drivers of instability to explain the trajectory toward war. These insights also inform the preprocessing of event…
The role of machine learning methods in physiological explorations of endurance trained athletes
Endurance-trained athletes require physiological explorations that have evolved throughout the history of exercise physiology with technological advances. From the use of the Douglas bag to measure gas exchange to the development of wearable connected devices, advances in physiological explorations have enabled us to move from the classic but still widely used cardiopulmonary exercise test (CPET) to the collection of data under real conditions on…
No prominent works on this page.
The role of machine learning methods in physiological explorations of endurance trained athletes
Endurance-trained athletes require physiological explorations that have evolved throughout the history of exercise physiology with technological advances. From the use of the Douglas bag to measure gas exchange to the development of wearable connected devices, advances in physiological explorations have enabled us to move from the classic but still widely used cardiopulmonary exercise test (CPET) to the collection of data under real conditions on…
Analytical Geopolitics and Artificial Intelligence as Hybrid Approach
Anticipating international conflicts is critical for geopolitical risk assessment and early warning. Using the Russia – Ukraine crisis as a case study, this paper presents a hybrid approach that combines theory-driven and data-driven forecasting methods. First, an analytical geopolitics framework identifies structural and agent-based drivers of instability to explain the trajectory toward war. These insights also inform the preprocessing of event…