Low Cost
Research on low-cost systems focuses on developing affordable and accessible technologies across various domains, primarily aiming to bridge the gap between functionality and affordability. Current efforts concentrate on leveraging efficient algorithms (like lightweight neural networks, optimized transformers, and improved template matching), low-power hardware (e.g., microcontrollers, MEMS microphones), and readily available components to create functional systems for applications ranging from robotics and environmental monitoring to healthcare and industrial automation. This research is significant because it democratizes access to advanced technologies, enabling broader participation in scientific research and facilitating the development of cost-effective solutions for real-world problems.
Papers
Statistical Study of Sensor Data and Investigation of ML-based Calibration Algorithms for Inexpensive Sensor Modules: Experiments from Cape Point
Travis Barrett, Amit Kumar MishraAgile Climate-Sensor Design and Calibration Algorithms Using Machine Learning: Experiments From Cape Point
Travis Barrett, Amit Kumar MishraUniversity of Cape Town