M J Woods
Biographic Data
| ID | 1044213 |
|---|---|
| NAME | M J Woods |
| GIVEN NAMES | M J |
| FAMILY NAME | Woods |
| SIGNATURE | WOODS M J |
| AFFILIATIONS | Scisys (United Kingdom) |
| ORCID | 0000-0003-3554-7631 |
| VERIFIED | Yes |
| TOTAL WORKS | 10 |
| TOTAL CITATIONS | 0 |
| WORKS AS AUTHOR | 10 |
| WORKS AS EDITOR | 0 |
| FIRST PUBLICATION YEAR | 1967 |
| LATEST PUBLICATION YEAR | 2023 |
| H-INDEX | 0 |
Oxia Planum, Mars, classified using the Noah-H deep-learning terrain classification system
We present a map of Oxia Planum, Mars, the landing site for the ExoMars Rover. This shows surface texture and aeolian bedform distribution, classified using a deep learning (DL) system. A hierarchical classification scheme was developed, categorising the surface textures observed at the site. This was then used to train a DL network, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H). The DL applied the classification scheme across a wider area th…
Mawrth Vallis, Mars, classified using the Noah-H deep-learning terrain classification system
A deep learning (DL) terrain classification system, the Novelty and Anomaly Hunter – HiRISE (NOAH-H) was used to produce a terrain map of Mawrth Vallis, Mars. With it, we digitised the extent and distribution of transverse aeolian ridges (TARs), a common type of martian aeolian bedform. We present maps of the site, classifying terrain into descriptive classes and interpretive groups. TAR density maps are calculated, and the network output is comp…
Jezero crater, Mars
We applied a deep learning terrain classification system, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H), originally developed for the ExoMars landing sites in Oxia Planum and Mawrth Vallis, to the Mars 2020 Perseverance rover landing site in Jezero crater. NOAH-H successfully classified the terrain in four HiRISE images of Jezero even though the landforms in the Jezero study area were slightly different from those in the training dataset. We …
Gracian Meets Gongora
The Poet and the Natural World in the Age of Gongora
The Poet and the Natural World in the Age of Gongora
Relationships among Measures of Locus of Control for Black and White Students
Past research has involved various measures of locus of control. In the present study, Rotter's Internal-External (I-E) Scale, Levenson's Internal, Power, and Chance scales and some items from Coleman's study of equality of educational opportunity were administered to northern white and southern black college students. In general, the relationships between the measures did not vary by race or sex. Multiple regression analyses showed that Rotter's…
XI—Substance and Essence in Aristotle
Journal Article XI—Substance and Essence in Aristotle Get access M. J. Woods M. J. Woods Search for other works by this author on: Oxford Academic Google Scholar Proceedings of the Aristotelian Society, Volume 75, Issue 1, 1 June 1975, Pages 167–180, https://doi.org/10.1093/aristotelian/75.1.167 Published: 17 July 2015
Rhetoric in Garcilaso's First Eclogue
Problems in Metaphysics Z, Chapter 13
The purpose of this paper is to attempt a clarification of the theory of substance which Aristotle had developed at the time when he wrote books Z, H, and 9 of the Metaphysics, by considering a passage where he puts forward a number of arguments against a certain doctrine about substance. Some of my conclusions could, I think, be supported by an examination of certain other passages in Z. But in this paper I confine my discussion to Z 13.
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Problems in Metaphysics Z, Chapter 13
The purpose of this paper is to attempt a clarification of the theory of substance which Aristotle had developed at the time when he wrote books Z, H, and 9 of the Metaphysics, by considering a passage where he puts forward a number of arguments against a certain doctrine about substance. Some of my conclusions could, I think, be supported by an examination of certain other passages in Z. But in this paper I confine my discussion to Z 13.
Rhetoric in Garcilaso's First Eclogue
XI—Substance and Essence in Aristotle
Journal Article XI—Substance and Essence in Aristotle Get access M. J. Woods M. J. Woods Search for other works by this author on: Oxford Academic Google Scholar Proceedings of the Aristotelian Society, Volume 75, Issue 1, 1 June 1975, Pages 167–180, https://doi.org/10.1093/aristotelian/75.1.167 Published: 17 July 2015
Relationships among Measures of Locus of Control for Black and White Students
Past research has involved various measures of locus of control. In the present study, Rotter's Internal-External (I-E) Scale, Levenson's Internal, Power, and Chance scales and some items from Coleman's study of equality of educational opportunity were administered to northern white and southern black college students. In general, the relationships between the measures did not vary by race or sex. Multiple regression analyses showed that Rotter's…
The Poet and the Natural World in the Age of Gongora
The Poet and the Natural World in the Age of Gongora
Gracian Meets Gongora
Jezero crater, Mars
We applied a deep learning terrain classification system, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H), originally developed for the ExoMars landing sites in Oxia Planum and Mawrth Vallis, to the Mars 2020 Perseverance rover landing site in Jezero crater. NOAH-H successfully classified the terrain in four HiRISE images of Jezero even though the landforms in the Jezero study area were slightly different from those in the training dataset. We …
Oxia Planum, Mars, classified using the Noah-H deep-learning terrain classification system
We present a map of Oxia Planum, Mars, the landing site for the ExoMars Rover. This shows surface texture and aeolian bedform distribution, classified using a deep learning (DL) system. A hierarchical classification scheme was developed, categorising the surface textures observed at the site. This was then used to train a DL network, the ‘Novelty or Anomaly Hunter – HiRISE’ (NOAH-H). The DL applied the classification scheme across a wider area th…
Mawrth Vallis, Mars, classified using the Noah-H deep-learning terrain classification system
A deep learning (DL) terrain classification system, the Novelty and Anomaly Hunter – HiRISE (NOAH-H) was used to produce a terrain map of Mawrth Vallis, Mars. With it, we digitised the extent and distribution of transverse aeolian ridges (TARs), a common type of martian aeolian bedform. We present maps of the site, classifying terrain into descriptive classes and interpretive groups. TAR density maps are calculated, and the network output is comp…
Art (4 works) · Literature (4 works) · Philosophy (4 works) · Artificial Intelligence (3 works) · Astro and Planetary Science (3 works) · Cartography (3 works) · Computer Science (3 works) · Epistemology (3 works) · Geography (3 works) · Geology (3 works)