Gespeichert in:
| Beteiligte Personen: | , , |
|---|---|
| Format: | Buch |
| Sprache: | Englisch |
| Veröffentlicht: |
Cambridge
Cambridge University Press
2023
|
| Ausgabe: | First published |
| Schriftenreihe: | Elements of emerging theories and technologies in metamaterials
|
| Schlagwörter: | |
| Zusammenfassung: | Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance |
| Umfang: | 126 Seiten Illustrationen, Diagramme |
| ISBN: | 9781009277273 9781009454131 |
Internformat
MARC
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| 100 | 1 | |a Li, Lianlin |4 aut | |
| 245 | 1 | 0 | |a Intelligent metasurface sensors |c Lianlin Li (Peking University), Hanting Zhao (Peking University), Tie Jun Cui (Southeast University, China) |
| 250 | |a First published | ||
| 264 | 1 | |a Cambridge |b Cambridge University Press |c 2023 | |
| 300 | |a 126 Seiten |b Illustrationen, Diagramme | ||
| 336 | |b txt |2 rdacontent | ||
| 337 | |b n |2 rdamedia | ||
| 338 | |b nc |2 rdacarrier | ||
| 490 | 0 | |a Elements of emerging theories and technologies in metamaterials | |
| 520 | |a Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance | ||
| 650 | 4 | |a Metasurfaces | |
| 650 | 4 | |a Detectors / Materials | |
| 650 | 4 | |a Machine learning | |
| 700 | 1 | |a Zhao, Hanting |4 aut | |
| 700 | 1 | |a Cui, Tie Jun |d ca. 20./21. Jh. |0 (DE-588)1228649545 |4 aut | |
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Datensatz im Suchindex
| _version_ | 1825223188232011776 |
|---|---|
| adam_text | |
| any_adam_object | |
| author | Li, Lianlin Zhao, Hanting Cui, Tie Jun ca. 20./21. Jh |
| author_GND | (DE-588)1228649545 |
| author_facet | Li, Lianlin Zhao, Hanting Cui, Tie Jun ca. 20./21. Jh |
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| dewey-full | 620.11 |
| dewey-hundreds | 600 - Technology (Applied sciences) |
| dewey-ones | 620 - Engineering and allied operations |
| dewey-raw | 620.11 |
| dewey-search | 620.11 |
| dewey-sort | 3620.11 |
| dewey-tens | 620 - Engineering and allied operations |
| edition | First published |
| format | Book |
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| id | DE-604.BV049921609 |
| illustrated | Illustrated |
| indexdate | 2025-02-27T15:01:15Z |
| institution | BVB |
| isbn | 9781009277273 9781009454131 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035260174 |
| oclc_num | 1466922990 |
| open_access_boolean | |
| owner | DE-858 |
| owner_facet | DE-858 |
| physical | 126 Seiten Illustrationen, Diagramme |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | Cambridge University Press |
| record_format | marc |
| series2 | Elements of emerging theories and technologies in metamaterials |
| spelling | Li, Lianlin aut Intelligent metasurface sensors Lianlin Li (Peking University), Hanting Zhao (Peking University), Tie Jun Cui (Southeast University, China) First published Cambridge Cambridge University Press 2023 126 Seiten Illustrationen, Diagramme txt rdacontent n rdamedia nc rdacarrier Elements of emerging theories and technologies in metamaterials Intelligent electromagnetic (EM) sensing is a powerful contactless examination tool in science, engineering and military, enabling us to 'see' and 'understand' visually invisible targets. Using intelligence, the sensor can organize by itself the task-oriented sensing pipeline (data acquisition plus processing) without human intervention. Intelligent metasurface sensors, synergizing ultrathin artificial materials (AMs) for flexible wave manipulation and artificial intelligences (AIs) for powerful data manipulation, emerge in response to the proper time and conditions, and have attracted growing interest over the past years. The authors expect that the results in this Element could be utilized to achieve the goal that conventional sensors cannot achieve, and that the developed strategies can be extended over the entire EM spectra and beyond, which will produce important impacts on the society of the robot-human alliance Metasurfaces Detectors / Materials Machine learning Zhao, Hanting aut Cui, Tie Jun ca. 20./21. Jh. (DE-588)1228649545 aut Erscheint auch als Druck-Ausgabe 978-1-009-45413-1 Erscheint auch als Online-Ausgabe 978-1-009-27724-2 |
| spellingShingle | Li, Lianlin Zhao, Hanting Cui, Tie Jun ca. 20./21. Jh Intelligent metasurface sensors Metasurfaces Detectors / Materials Machine learning |
| title | Intelligent metasurface sensors |
| title_auth | Intelligent metasurface sensors |
| title_exact_search | Intelligent metasurface sensors |
| title_full | Intelligent metasurface sensors Lianlin Li (Peking University), Hanting Zhao (Peking University), Tie Jun Cui (Southeast University, China) |
| title_fullStr | Intelligent metasurface sensors Lianlin Li (Peking University), Hanting Zhao (Peking University), Tie Jun Cui (Southeast University, China) |
| title_full_unstemmed | Intelligent metasurface sensors Lianlin Li (Peking University), Hanting Zhao (Peking University), Tie Jun Cui (Southeast University, China) |
| title_short | Intelligent metasurface sensors |
| title_sort | intelligent metasurface sensors |
| topic | Metasurfaces Detectors / Materials Machine learning |
| topic_facet | Metasurfaces Detectors / Materials Machine learning |
| work_keys_str_mv | AT lilianlin intelligentmetasurfacesensors AT zhaohanting intelligentmetasurfacesensors AT cuitiejun intelligentmetasurfacesensors |