Pulse-Mind Applied ML Research
Studied real-time ML pipeline behavior for cardiac rhythm analysis and deterministic control integration.
Studied real-time ML pipeline behavior for cardiac rhythm analysis and deterministic control integration.
Researched deterministic offline geocoding with Morton + Base36 encoding, AI-assisted hotspot detection, and synchronized field communication for disaster operations.
Explored robust deep learning pipelines for gravitational lensing analysis and scientific feature representation.
Investigated SVM and PCA-based workflows for reliable environmental trend analysis and model optimization.
Investigated spatio-environmental patterns using clustering and neural regression, identifying renewable-impact and pollution-efficiency factors for policy planning.