Mozo, R.M.N.[Ray Mari N.]
* 2016: Non-trivial Feature Derivation For Intensifying Feature Detection Using Lidar Datasets Through Allometric Aggregation Data Analysis Applying Diffused Hierarchical Clustering For Discriminating Agricultural Land Cover In Portions Of Northern Mindanao, Philippines
Mozos, D.
* 2012: FPGA Implementation of the N-FINDR Algorithm for Remotely Sensed Hyperspectral Image Analysis
* 2013: Promise of Reconfigurable Computing for Hyperspectral Imaging Onboard Systems: A Review and Trends, The
* 2017: Parallel Implementation of the CCSDS 1.2.3 Standard for Hyperspectral Lossless Compression
* 2018: Hyperspectral Image Compression Using Vector Quantization, PCA and JPEG2000
* 2018: novel FPGA-based architecture for the estimation of the virtual dimensionality in remotely sensed hyperspectral images, A
* 2019: FPGA implementation of the principal component analysis algorithm for dimensionality reduction of hyperspectral images
* 2020: Extremely Pipelined FPGA Implementation of a Lossy Hyperspectral Image Compression Algorithm, An
* 2020: FPGA Accelerator for Real-Time Lossy Compression of Hyperspectral Images, An
Includes: Mozos, D. Mozos, D.[Daniel]
8 for Mozos, D.
Mozos, O.M.[Oscar Martinez]
* 2014: Two-dimensional local ternary patterns using synchronized images for outdoor place categorization
* 2023: THÖR-Magni: Comparative Analysis of Deep Learning Models for Role-conditioned Human Motion Prediction