Artificial Intelligence Annual. / Volume 2022 / / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González.
Artificial Intelligence (AI) has attracted the attention of many researchers and users alike, and it has become increasingly crucial in our modern society. From cars, smartphones, airplanes, medical equipment, consumer applications, and industrial machines, among others, the impact of AI is notoriou...
Saved in:
Superior document: | Artificial Intelligence Series ; v.12. |
---|---|
TeilnehmendeR: | |
Place / Publishing House: | London : : IntechOpen,, 2022. |
Year of Publication: | 2022 |
Edition: | First edition. |
Language: | English |
Series: | Artificial intelligence (Cambridge, Mass.)
|
Physical Description: | 1 online resource (178 pages) |
Tags: |
Add Tag
No Tags, Be the first to tag this record!
|
id |
993603619204498 |
---|---|
ctrlnum |
(CKB)5580000000514374 (NjHacI)995580000000514374 (MiAaPQ)EBC31281450 (Au-PeEL)EBL31281450 (EXLCZ)995580000000514374 |
collection |
bib_alma |
record_format |
marc |
spelling |
Artificial Intelligence Annual. Volume 2022 / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González. First edition. London : IntechOpen, 2022. 1 online resource (178 pages) text txt rdacontent computer c rdamedia online resource cr rdacarrier Artificial Intelligence Series ; v.12. Description based on online resource; title from PDF title page (IntechOpen, viewed June 23, 2023). Artificial Intelligence (AI) has attracted the attention of many researchers and users alike, and it has become increasingly crucial in our modern society. From cars, smartphones, airplanes, medical equipment, consumer applications, and industrial machines, among others, the impact of AI is notoriously changing the world we live in and making it better in many areas. However, it is equally important to remember that every progress comes with certain challenges that we as a society must address. 1. Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach -- By Iqramul Haq, Md. Ismail Hossain, Md. Moshiur Rahman, Md. Injamul Haq Methun, Ashis Talukder, Md. Jakaria Habib and Md. Sanwar Hossain 92 -- 2. Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics -- By Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta 59 -- 3. Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks -- By Indira Bharathi and Veeramani Sonai 40 -- 4. Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud -- By Suxia Cui and Soamar Homsi 39 -- 5. Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration -- By Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu 27 -- 6. Self-Supervised Contrastive Representation Learning in Computer Vision -- By Yalin Bastanlar and Semih Orhan 145 -- 7. Analysis of Brain Computer Interface Using Deep and Machine Learning -- By Nabil Ajali-Hernández and Carlos M. Travieso-Gonzalez 76 -- 8. Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature -- By Kishore Kumar Kamarajugadda and Movva Pavani 56. Artificial intelligence. Travieso-González, Carlos M., editor. Aceves-Fernandez, Marco Antonio, editor. 1-83768-948-2 Artificial intelligence (Cambridge, Mass.) |
language |
English |
format |
eBook |
author2 |
Travieso-González, Carlos M., Aceves-Fernandez, Marco Antonio, |
author_facet |
Travieso-González, Carlos M., Aceves-Fernandez, Marco Antonio, |
author2_variant |
c m t g cmt cmtg m a a f maa maaf |
author2_role |
TeilnehmendeR TeilnehmendeR |
title |
Artificial Intelligence Annual. |
spellingShingle |
Artificial Intelligence Annual. Artificial Intelligence Series ; 1. Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach -- By Iqramul Haq, Md. Ismail Hossain, Md. Moshiur Rahman, Md. Injamul Haq Methun, Ashis Talukder, Md. Jakaria Habib and Md. Sanwar Hossain 92 -- 2. Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics -- By Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta 59 -- 3. Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks -- By Indira Bharathi and Veeramani Sonai 40 -- 4. Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud -- By Suxia Cui and Soamar Homsi 39 -- 5. Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration -- By Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu 27 -- 6. Self-Supervised Contrastive Representation Learning in Computer Vision -- By Yalin Bastanlar and Semih Orhan 145 -- 7. Analysis of Brain Computer Interface Using Deep and Machine Learning -- By Nabil Ajali-Hernández and Carlos M. Travieso-Gonzalez 76 -- 8. Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature -- By Kishore Kumar Kamarajugadda and Movva Pavani 56. |
title_full |
Artificial Intelligence Annual. Volume 2022 / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González. |
title_fullStr |
Artificial Intelligence Annual. Volume 2022 / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González. |
title_full_unstemmed |
Artificial Intelligence Annual. Volume 2022 / edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González. |
title_auth |
Artificial Intelligence Annual. |
title_new |
Artificial Intelligence Annual. |
title_sort |
artificial intelligence annual. |
series |
Artificial Intelligence Series ; |
series2 |
Artificial Intelligence Series ; |
publisher |
IntechOpen, |
publishDate |
2022 |
physical |
1 online resource (178 pages) |
edition |
First edition. |
contents |
1. Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach -- By Iqramul Haq, Md. Ismail Hossain, Md. Moshiur Rahman, Md. Injamul Haq Methun, Ashis Talukder, Md. Jakaria Habib and Md. Sanwar Hossain 92 -- 2. Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics -- By Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta 59 -- 3. Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks -- By Indira Bharathi and Veeramani Sonai 40 -- 4. Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud -- By Suxia Cui and Soamar Homsi 39 -- 5. Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration -- By Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu 27 -- 6. Self-Supervised Contrastive Representation Learning in Computer Vision -- By Yalin Bastanlar and Semih Orhan 145 -- 7. Analysis of Brain Computer Interface Using Deep and Machine Learning -- By Nabil Ajali-Hernández and Carlos M. Travieso-Gonzalez 76 -- 8. Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature -- By Kishore Kumar Kamarajugadda and Movva Pavani 56. |
isbn |
1-83768-948-2 |
callnumber-first |
Q - Science |
callnumber-subject |
Q - General Science |
callnumber-label |
Q335 |
callnumber-sort |
Q 3335 A785 42022 |
illustrated |
Not Illustrated |
dewey-hundreds |
000 - Computer science, information & general works |
dewey-tens |
000 - Computer science, knowledge & systems |
dewey-ones |
006 - Special computer methods |
dewey-full |
006.3 |
dewey-sort |
16.3 |
dewey-raw |
006.3 |
dewey-search |
006.3 |
work_keys_str_mv |
AT traviesogonzalezcarlosm artificialintelligenceannualvolume2022 AT acevesfernandezmarcoantonio artificialintelligenceannualvolume2022 |
status_str |
n |
ids_txt_mv |
(CKB)5580000000514374 (NjHacI)995580000000514374 (MiAaPQ)EBC31281450 (Au-PeEL)EBL31281450 (EXLCZ)995580000000514374 |
carrierType_str_mv |
cr |
hierarchy_parent_title |
Artificial Intelligence Series ; v.12. |
is_hierarchy_title |
Artificial Intelligence Annual. |
container_title |
Artificial Intelligence Series ; v.12. |
author2_original_writing_str_mv |
noLinkedField noLinkedField |
_version_ |
1797864089484001280 |
fullrecord |
<?xml version="1.0" encoding="UTF-8"?><collection xmlns="http://www.loc.gov/MARC21/slim"><record><leader>03247nam a2200373 i 4500</leader><controlfield tag="001">993603619204498</controlfield><controlfield tag="005">20240430163955.0</controlfield><controlfield tag="006">m o d </controlfield><controlfield tag="007">cr#|||||||||||</controlfield><controlfield tag="008">230624s2022 enk o 000 0 eng d</controlfield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(CKB)5580000000514374</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(NjHacI)995580000000514374</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(MiAaPQ)EBC31281450</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(Au-PeEL)EBL31281450</subfield></datafield><datafield tag="035" ind1=" " ind2=" "><subfield code="a">(EXLCZ)995580000000514374</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">Q335</subfield><subfield code="b">.A785 2022</subfield></datafield><datafield tag="082" ind1="0" ind2="4"><subfield code="a">006.3</subfield><subfield code="2">23</subfield></datafield><datafield tag="245" ind1="0" ind2="0"><subfield code="a">Artificial Intelligence Annual.</subfield><subfield code="n">Volume 2022 /</subfield><subfield code="c">edited by Marco Antonio Aceves-Fernandez, Carlos M. Travieso-González.</subfield></datafield><datafield tag="250" ind1=" " ind2=" "><subfield code="a">First edition.</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="300" ind1=" " ind2=" "><subfield code="a">1 online resource (178 pages)</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="490" ind1="1" ind2=" "><subfield code="a">Artificial Intelligence Series ;</subfield><subfield code="v">v.12.</subfield></datafield><datafield tag="588" ind1=" " ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (IntechOpen, viewed June 23, 2023).</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence (AI) has attracted the attention of many researchers and users alike, and it has become increasingly crucial in our modern society. From cars, smartphones, airplanes, medical equipment, consumer applications, and industrial machines, among others, the impact of AI is notoriously changing the world we live in and making it better in many areas. However, it is equally important to remember that every progress comes with certain challenges that we as a society must address.</subfield></datafield><datafield tag="505" ind1="0" ind2=" "><subfield code="a">1. Machine Learning Algorithm-Based Contraceptive Practice among Ever-Married Women in Bangladesh: A Hierarchical Machine Learning Classification Approach -- By Iqramul Haq, Md. Ismail Hossain, Md. Moshiur Rahman, Md. Injamul Haq Methun, Ashis Talukder, Md. Jakaria Habib and Md. Sanwar Hossain 92 -- 2. Evaluating Similarities and Differences between Machine Learning and Traditional Statistical Modeling in Healthcare Analytics -- By Michele Bennett, Ewa J. Kleczyk, Karin Hayes and Rajesh Mehta 59 -- 3. Image-Based Crop Leaf Disease Identification Using Convolution Encoder Networks -- By Indira Bharathi and Veeramani Sonai 40 -- 4. Perspective Chapter: Deep Reinforcement Learning for Co-Resident Attack Mitigation in The Cloud -- By Suxia Cui and Soamar Homsi 39 -- 5. Velocity Planning via Model-Based Reinforcement Learning: Demonstrating Results on PILCO for One-Dimensional Linear Motion with Bounded Acceleration -- By Hsuan-Cheng Liao, Han-Jung Chou and Jing-Sin Liu 27 -- 6. Self-Supervised Contrastive Representation Learning in Computer Vision -- By Yalin Bastanlar and Semih Orhan 145 -- 7. Analysis of Brain Computer Interface Using Deep and Machine Learning -- By Nabil Ajali-Hernández and Carlos M. Travieso-Gonzalez 76 -- 8. Multi-Features Assisted Age Invariant Face Recognition and Retrieval Using CNN with Scale Invariant Heat Kernel Signature -- By Kishore Kumar Kamarajugadda and Movva Pavani 56.</subfield></datafield><datafield tag="650" ind1=" " ind2="0"><subfield code="a">Artificial intelligence.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Travieso-González, Carlos M.,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="700" ind1="1" ind2=" "><subfield code="a">Aceves-Fernandez, Marco Antonio,</subfield><subfield code="e">editor.</subfield></datafield><datafield tag="776" ind1=" " ind2=" "><subfield code="z">1-83768-948-2</subfield></datafield><datafield tag="830" ind1=" " ind2="0"><subfield code="a">Artificial intelligence (Cambridge, Mass.)</subfield></datafield><datafield tag="906" ind1=" " ind2=" "><subfield code="a">BOOK</subfield></datafield><datafield tag="ADM" ind1=" " ind2=" "><subfield code="b">2024-05-01 10:12:35 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="i">DOAB Directory of Open Access Books</subfield><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=5343026150004498&Force_direct=true</subfield><subfield code="Z">5343026150004498</subfield><subfield code="b">Available</subfield><subfield code="8">5343026150004498</subfield></datafield></record></collection> |