Military studies

This thesis presents a comprehensive investigation into machine learning approaches forlandmine detection using thermal imagery. It addresses both classification and precise lo- calization challenges that are integral for humanitarian demining operations. The research encompasses two complementary methodological frameworks: comparative evaluation of traditional machine learning versus deep learning approaches, then followed by an imple- mentation of hyperparameter optimization for enhanced safety performance. The foundation of the study demonstrates that traditional machine learning methods achieve competitive classification performance. Conventional models achieved significant performance with the Random Forest and RestNet50 respectively scoring accuracies of 91.88% and 94.29%, though struggle to achieve >10% when tasked with classification and localization. Expanding on this foundation, we addresses this gap through multi-task learn- ing frameworks that simultaneously optimize for both detection and precise localization. Through systematic hyperparameter tuning across 64 configurations, the optimized multi- task approach achieves 90% detection accuracy with 92% precision while providing precise bounding box localization, representing a 37.5% reduction in false negatives. These find- ings demonstrate that while traditional machine learning offers computational efficiency for basic detection, multi-task deep learning frameworks provide significant performance gains when requiring precise spatial localization, which is an important requirement in demining operations.

Author Keywords: computer-vision, demining, humanitarian, Landmines, Multi-Task Learning, YOLO

Institutional military strategists are developing theories of asymmetric and unconventional warfare that complicate the notion of strategic agency, the idea that military action emanates from a coherent agential source or subjectivity. This thesis attempts to push the conceptual trajectories of the theories of Hybrid War, Unrestricted War and Onto-power towards an even more radical complication of the notion of strategy - towards an ecological understanding of war as an unwinnable, self-perpetuating process. Recent geopolitical events are meticulously examined, as are institutional doctrinal and theoretical frameworks that stop just short of imploding the conventional agential notion of strategy. Insights from the work of Gilles Deleuze and Felix Guattari, as well as Brian Massumi, particularly the concepts of multiplicity, assemblage, and ontopower, are employed in the thesis, which is itself a "heterogeneous assemblage" of elements ranging from Israeli war theory and Chinese military doctrine to etymology and post-structuralist philosophy.

Author Keywords: Agency, Assemblage, Deleuze, Hybrid warfare, Multiplicity, Strategy