Gravitational field : : concepts and applications / / edited by Khalid S. Essa.
This book presents a comprehensive overview of gravity and gravitational fields. The eight chapters are presented in two sections. Chapters in the first section address such topics as the theory of gravity, transient gravitational forces, the nature of our temporal universe, and photo-gravitational...
Saved in:
TeilnehmendeR: | |
---|---|
Place / Publishing House: | London : : IntechOpen,, [2022] ©2022 |
Year of Publication: | 2022 |
Language: | English |
Physical Description: | 1 online resource (164 pages) :; illustrations |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993581457904498 |
---|---|
ctrlnum |
(CKB)5680000000300294 (NjHacI)995680000000300294 (EXLCZ)995680000000300294 |
collection |
bib_alma |
record_format |
marc |
spelling |
Gravitational field : concepts and applications / edited by Khalid S. Essa. Gravitational Field London : IntechOpen, [2022] ©2022 1 online resource (164 pages) : illustrations text txt rdacontent computer c rdamedia online resource cr rdacarrier Description based on publisher supplied metadata and other sources. This book presents a comprehensive overview of gravity and gravitational fields. The eight chapters are presented in two sections. Chapters in the first section address such topics as the theory of gravity, transient gravitational forces, the nature of our temporal universe, and photo-gravitational celestial mechanics. Chapters in the second section discuss how to create a gravity survey, analyze data collected by satellites and on the ground, and present visualizations of several field cases around the world. Includes bibliographical references. 1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challenges 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25 -- 6. Machine Learning and Cognitive Robotics: Opportunities and Challenges 82. Gravitational fields. 1-83969-752-0 1-83969-753-9 Essa, Khalid S., editor. |
language |
English |
format |
eBook |
author2 |
Essa, Khalid S., |
author_facet |
Essa, Khalid S., |
author2_variant |
k s e ks kse |
author2_role |
TeilnehmendeR |
title |
Gravitational field : concepts and applications / |
spellingShingle |
Gravitational field : concepts and applications / 1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challenges 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25 -- 6. Machine Learning and Cognitive Robotics: Opportunities and Challenges 82. |
title_sub |
concepts and applications / |
title_full |
Gravitational field : concepts and applications / edited by Khalid S. Essa. |
title_fullStr |
Gravitational field : concepts and applications / edited by Khalid S. Essa. |
title_full_unstemmed |
Gravitational field : concepts and applications / edited by Khalid S. Essa. |
title_auth |
Gravitational field : concepts and applications / |
title_alt |
Gravitational Field |
title_new |
Gravitational field : |
title_sort |
gravitational field : concepts and applications / |
publisher |
IntechOpen, |
publishDate |
2022 |
physical |
1 online resource (164 pages) : illustrations |
contents |
1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challenges 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25 -- 6. Machine Learning and Cognitive Robotics: Opportunities and Challenges 82. |
isbn |
1-83969-752-0 1-83969-753-9 |
callnumber-first |
Q - Science |
callnumber-subject |
QC - Physics |
callnumber-label |
QC178 |
callnumber-sort |
QC 3178 G738 42022 |
illustrated |
Illustrated |
dewey-hundreds |
500 - Science |
dewey-tens |
530 - Physics |
dewey-ones |
530 - Physics |
dewey-full |
530.11 |
dewey-sort |
3530.11 |
dewey-raw |
530.11 |
dewey-search |
530.11 |
work_keys_str_mv |
AT essakhalids gravitationalfieldconceptsandapplications AT essakhalids gravitationalfield |
status_str |
n |
ids_txt_mv |
(CKB)5680000000300294 (NjHacI)995680000000300294 (EXLCZ)995680000000300294 |
carrierType_str_mv |
cr |
is_hierarchy_title |
Gravitational field : concepts and applications / |
author2_original_writing_str_mv |
noLinkedField |
_version_ |
1764995748359831552 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>02024nam a2200313 i 4500</leader><controlfield tag="001">993581457904498</controlfield><controlfield tag="005">20230330225414.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr |||||||||||</controlfield><controlfield tag="008">230330s2022 enka ob 000 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5680000000300294</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995680000000300294</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995680000000300294</subfield></datafield><datafield tag="040" ind1=" " ind2=" "><subfield code="a">NjHacI</subfield><subfield code="b">eng</subfield><subfield code="e">rda</subfield><subfield code="c">NjHacl</subfield></datafield><datafield tag="050" ind1=" " ind2="4"><subfield code="a">QC178</subfield><subfield code="b">.G738 2022</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">530.11</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Gravitational field :</subfield><subfield code="b">concepts and applications /</subfield><subfield code="c">edited by Khalid S. Essa.</subfield></datafield><datafield tag="246" ind1=" " ind2=" "><subfield code="a">Gravitational Field </subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">London :</subfield><subfield code="b">IntechOpen,</subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2022</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (164 pages) :</subfield><subfield code="b">illustrations</subfield></datafield><datafield tag="336" ind1=" " ind2=" "><subfield code="a">text</subfield><subfield code="b">txt</subfield><subfield code="2">rdacontent</subfield></datafield><datafield tag="337" ind1=" " ind2=" "><subfield code="a">computer</subfield><subfield code="b">c</subfield><subfield code="2">rdamedia</subfield></datafield><datafield tag="338" ind1=" " ind2=" "><subfield code="a">online resource</subfield><subfield code="b">cr</subfield><subfield code="2">rdacarrier</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on publisher supplied metadata and other sources.</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">This book presents a comprehensive overview of gravity and gravitational fields. The eight chapters are presented in two sections. Chapters in the first section address such topics as the theory of gravity, transient gravitational forces, the nature of our temporal universe, and photo-gravitational celestial mechanics. Chapters in the second section discuss how to create a gravity survey, analyze data collected by satellites and on the ground, and present visualizations of several field cases around the world.</subfield></datafield><datafield tag="504" ind1=" " ind2=" "><subfield code="a">Includes bibliographical references.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">1. The Neo-Mechanistic Model of Human Cognitive Computation and Its Major Challenges 46 -- 2. Learning Robotic Ultrasound Skills from Human Demonstrations 60 -- 3. Skill Acquisition for Resource-Constrained Mobile Robots through Continuous Exploration 53 -- 4. An Episodic-Procedural Semantic Memory Model for Continuous Topological Sensorimotor Map Building 50 -- 5. A Robotics-Based Machine Learning Approach for Fall Detection of People 25 -- 6. Machine Learning and Cognitive Robotics: Opportunities and Challenges 82.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Gravitational fields.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1-83969-752-0</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1-83969-753-9</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Essa, Khalid S.,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2023-04-15 13:37:48 Europe/Vienna</subfield><subfield code="f">system</subfield><subfield code="c">marc21</subfield><subfield code="a">2023-02-11 21:29:23 Europe/Vienna</subfield><subfield code="g">false</subfield></datafield><datafield tag="AVE" ind1=" " ind2=" "><subfield code="P">DOAB Directory of Open Access Books</subfield><subfield code="x">https://eu02.alma.exlibrisgroup.com/view/uresolver/43ACC_OEAW/openurl?u.ignore_date_coverage=true&portfolio_pid=5343025460004498&Force_direct=true</subfield><subfield code="Z">5343025460004498</subfield><subfield code="8">5343025460004498</subfield></datafield></record></collection> |