Deep Learning for Cognitive Computing Systems : : Technological Advancements and Applications / / ed. by M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan.
Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing hete...
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| Place / Publishing House: | Berlin ;, Boston : : De Gruyter, , [2022] ©2023 |
| Year of Publication: | 2022 |
| Language: | English |
| Series: | Smart Computing Applications ,
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| Physical Description: | 1 online resource (IX, 199 p.) |
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Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / ed. by M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan. Berlin ; Boston : De Gruyter, [2022] ©2023 1 online resource (IX, 199 p.) text txt rdacontent computer c rdamedia online resource cr rdacarrier text file PDF rda Smart Computing Applications , 2700-6239 ; 7 Frontmatter -- Contents -- List of Authors -- The Learning of Deep Learning: Overview, Methods, and Applications -- Foundation of Cognitive Computing -- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision -- A Study of Voice Recognition System Using Deep Learning Techniques -- Building Machine Learning–Based Prediction System for Critical Diseases -- An Overview of Internet of Things and Machine Learning for Smart Healthcare -- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being -- Healthcare Data Analysis Using Deep Learning Paradigm -- Cognitive Authentication for Smart Healthcare System -- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images -- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization -- Index restricted access http://purl.org/coar/access_right/c_16ec online access with authorization star Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights. Issued also in print. Mode of access: Internet via World Wide Web. In English. Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023) Big Data. Cognitive Computing. Deep Learning. Künstliche Intelligenz. Maschinelles Lernen. Artificial Intelligence. Machine Learning. Ali, Jahfar, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Babu, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Balasamy, K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Bharti, Nitesh, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Dineshnath, G, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Gayathri, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Iwendi, Celestine, editor. edt http://id.loc.gov/vocabulary/relators/edt Jagadesh, T, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jayashree, K, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Jothishree,, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kandasamy, K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kanivarshini, M S, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Khadirkumar, N., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Krishnamoorthi, M., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Kumar Dhanaraj, Rajesh, editor. edt http://id.loc.gov/vocabulary/relators/edt Kumar, Pravin, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Lakshmanan, B., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Manikandan, V. M, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Manoharan, Anto Merline, editor. edt http://id.loc.gov/vocabulary/relators/edt Merline Manoharan, Anto, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Nadeem Hashmi, Nadeem, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Oleeviya Babu, P, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priyadharsini, S, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Priyanka, G, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Rajaram, P., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Ranjana, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Reethika, A., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Regan, R, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Regan, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Remya, R., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Renuka Devi, K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Samuel, Prithi, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Saraswathi, S, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Senthilkumar, K., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sobin, C. C, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Subha, T, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Suganyadevi, S, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sumithra, M.G., contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Sumithra, M.G., editor. edt http://id.loc.gov/vocabulary/relators/edt Varsha,, contributor. ctb https://id.loc.gov/vocabulary/relators/ctb Title is part of eBook package: De Gruyter DG Plus DeG Package 2023 Part 1 9783111175782 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 English 9783110993899 Title is part of eBook package: De Gruyter EBOOK PACKAGE COMPLETE 2022 9783110994810 ZDB-23-DGG Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 English 9783110994223 Title is part of eBook package: De Gruyter EBOOK PACKAGE Engineering, Computer Sciences 2022 9783110994193 ZDB-23-DEI EPUB 9783110750614 print 9783110750508 https://doi.org/10.1515/9783110750584 https://www.degruyter.com/isbn/9783110750584 Cover https://www.degruyter.com/document/cover/isbn/9783110750584/original |
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| title |
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / |
| spellingShingle |
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / Smart Computing Applications , Frontmatter -- Contents -- List of Authors -- The Learning of Deep Learning: Overview, Methods, and Applications -- Foundation of Cognitive Computing -- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision -- A Study of Voice Recognition System Using Deep Learning Techniques -- Building Machine Learning–Based Prediction System for Critical Diseases -- An Overview of Internet of Things and Machine Learning for Smart Healthcare -- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being -- Healthcare Data Analysis Using Deep Learning Paradigm -- Cognitive Authentication for Smart Healthcare System -- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images -- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization -- Index |
| title_sub |
Technological Advancements and Applications / |
| title_full |
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / ed. by M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan. |
| title_fullStr |
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / ed. by M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan. |
| title_full_unstemmed |
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / ed. by M.G. Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan. |
| title_auth |
Deep Learning for Cognitive Computing Systems : Technological Advancements and Applications / |
| title_alt |
Frontmatter -- Contents -- List of Authors -- The Learning of Deep Learning: Overview, Methods, and Applications -- Foundation of Cognitive Computing -- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision -- A Study of Voice Recognition System Using Deep Learning Techniques -- Building Machine Learning–Based Prediction System for Critical Diseases -- An Overview of Internet of Things and Machine Learning for Smart Healthcare -- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being -- Healthcare Data Analysis Using Deep Learning Paradigm -- Cognitive Authentication for Smart Healthcare System -- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images -- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization -- Index |
| title_new |
Deep Learning for Cognitive Computing Systems : |
| title_sort |
deep learning for cognitive computing systems : technological advancements and applications / |
| series |
Smart Computing Applications , |
| series2 |
Smart Computing Applications , |
| publisher |
De Gruyter, |
| publishDate |
2022 |
| physical |
1 online resource (IX, 199 p.) Issued also in print. |
| contents |
Frontmatter -- Contents -- List of Authors -- The Learning of Deep Learning: Overview, Methods, and Applications -- Foundation of Cognitive Computing -- Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision -- A Study of Voice Recognition System Using Deep Learning Techniques -- Building Machine Learning–Based Prediction System for Critical Diseases -- An Overview of Internet of Things and Machine Learning for Smart Healthcare -- Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being -- Healthcare Data Analysis Using Deep Learning Paradigm -- Cognitive Authentication for Smart Healthcare System -- Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images -- A Novel Deep Belief Neural Network Model for Abstractive Text Summarization -- Index |
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9783110750584 9783111175782 9783110993899 9783110994810 9783110994223 9783110994193 9783110750614 9783110750508 |
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2700-6239 ; |
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https://doi.org/10.1515/9783110750584 https://www.degruyter.com/isbn/9783110750584 https://www.degruyter.com/document/cover/isbn/9783110750584/original |
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Sumithra, Rajesh Kumar Dhanaraj, Celestine Iwendi, Anto Merline Manoharan.</subfield></datafield><datafield tag="264" ind1=" " ind2="1"><subfield code="a">Berlin ;</subfield><subfield code="a">Boston : </subfield><subfield code="b">De Gruyter, </subfield><subfield code="c">[2022]</subfield></datafield><datafield tag="264" ind1=" " ind2="4"><subfield code="c">©2023</subfield></datafield><datafield tag="300" ind1=" " ind2=" "><subfield code="a">1 online resource (IX, 199 p.)</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="347" ind1=" " ind2=" "><subfield code="a">text file</subfield><subfield code="b">PDF</subfield><subfield code="2">rda</subfield></datafield><datafield tag="490" ind1="0" ind2=" "><subfield code="a">Smart Computing Applications ,</subfield><subfield code="x">2700-6239 ;</subfield><subfield code="v">7</subfield></datafield><datafield tag="505" ind1="0" ind2="0"><subfield code="t">Frontmatter -- </subfield><subfield code="t">Contents -- </subfield><subfield code="t">List of Authors -- </subfield><subfield code="t">The Learning of Deep Learning: Overview, Methods, and Applications -- </subfield><subfield code="t">Foundation of Cognitive Computing -- </subfield><subfield code="t">Applications and Implications of Artificial Intelligence and Deep Learning in Computer Vision -- </subfield><subfield code="t">A Study of Voice Recognition System Using Deep Learning Techniques -- </subfield><subfield code="t">Building Machine Learning–Based Prediction System for Critical Diseases -- </subfield><subfield code="t">An Overview of Internet of Things and Machine Learning for Smart Healthcare -- </subfield><subfield code="t">Nutrition Food Recognition Using Deep Learning Algorithm for Physically Challenged Human Being -- </subfield><subfield code="t">Healthcare Data Analysis Using Deep Learning Paradigm -- </subfield><subfield code="t">Cognitive Authentication for Smart Healthcare System -- </subfield><subfield code="t">Cognitive-Inspired Computer Vision Assist System for Diabetic Retinopathy Detection from Fundus Images -- </subfield><subfield code="t">A Novel Deep Belief Neural Network Model for Abstractive Text Summarization -- </subfield><subfield code="t">Index</subfield></datafield><datafield tag="506" ind1="0" ind2=" "><subfield code="a">restricted access</subfield><subfield code="u">http://purl.org/coar/access_right/c_16ec</subfield><subfield code="f">online access with authorization</subfield><subfield code="2">star</subfield></datafield><datafield tag="520" ind1=" " ind2=" "><subfield code="a">Cognitive computing simulates human thought processes with self-learning algorithms that utilize data mining, pattern recognition, and natural language processing. The integration of deep learning improves the performance of Cognitive computing systems in many applications, helping in utilizing heterogeneous data sets and generating meaningful insights.</subfield></datafield><datafield tag="530" ind1=" " ind2=" "><subfield code="a">Issued also in print.</subfield></datafield><datafield tag="538" ind1=" " ind2=" "><subfield code="a">Mode of access: Internet via World Wide Web.</subfield></datafield><datafield tag="546" ind1=" " ind2=" "><subfield code="a">In English.</subfield></datafield><datafield tag="588" ind1="0" ind2=" "><subfield code="a">Description based on online resource; title from PDF title page (publisher's Web site, viewed 29. Mai 2023)</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Big Data.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Cognitive Computing.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Deep Learning.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Künstliche Intelligenz.</subfield></datafield><datafield tag="650" ind1=" " ind2="4"><subfield code="a">Maschinelles Lernen.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Artificial Intelligence.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Big Data.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Cognitive Computing.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Deep Learning.</subfield></datafield><datafield tag="653" ind1=" " ind2=" "><subfield code="a">Machine 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