Linear spectral mixture models and support vector machines for remote sensing. - Martin Brown 001; Hugh G. Lewis; Steve R. Gunn (IEEE Trans. Geosci. Remote. Sens., 2000)

Super-resolution target identification from remotely sensed images using a Hopfield neural network. - Andrew J. Tatem; Hugh G. Lewis; Peter M. Atkinson; Mark S. Nixon (IEEE Trans. Geosci. Remote. Sens., 2001)

Increasing the spatial resolution of agricultural land cover maps using a Hopfield neural network. - Andrew J. Tatem; Hugh G. Lewis; Peter M. Atkinson; Mark S. Nixon (Int. J. Geogr. Inf. Sci., 2003)

Superresolution mapping using a Hopfield neural network with lidar data. - Minh Q. Nguyen; Peter M. Atkinson; Hugh G. Lewis (IEEE Geosci. Remote. Sens. Lett., 2005)

Superresolution mapping using a hopfield neural network with fused images. - Minh Q. Nguyen; Peter M. Atkinson; Hugh G. Lewis (IEEE Trans. Geosci. Remote. Sens., 2006)

Clouds in Space: Scientific Computing using Windows Azure. - Steven J. Johnston; Neil S. O'Brien; Hugh G. Lewis; Elizabeth E. Hart; Adam White; Simon J. Cox 001 (J. Cloud Comput., 2013)

Spacecraft design optimisation for demise and survivability. - Mirko Trisolini; Hugh G. Lewis; Camilla Colombo (CoRR, 2019)

Downscaling Gridded DEMs Using the Hopfield Neural Network. - Minh Q. Nguyen; Thi Thu Huong Nguyen; Phu Hien La; Hugh G. Lewis; Peter M. Atkinson (IEEE J. Sel. Top. Appl. Earth Obs. Remote. Sens., 2019)

Predicting the vulnerability of spacecraft components: modelling debris impact effects through vulnerable-zones. - Mirko Trisolini; Hugh G. Lewis; Camilla Colombo (CoRR, 2020)

Constrained optimisation of preliminary spacecraft configurations under the design-for-demise paradigm. - Mirko Trisolini; Hugh G. Lewis; Camilla Colombo (CoRR, 2021)

Calibration of a Low-Cost Methane Sensor Using Machine Learning. - Hazel Louise Mitchell; Simon J. Cox 001; Hugh G. Lewis (Sensors, 2024)

A Low-Cost Sensor Network for Monitoring Peatland. - Hazel Louise Mitchell; Simon J. Cox 001; Hugh G. Lewis (Sensors, 2024)