Artificial intelligence trends for data analytics using machine learning and deep learning approaches

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Titel
Artificial intelligence trends for data analytics using machine learning and deep learning approaches
verantwortlich
Gayathri Devi, K. G. (HerausgeberIn); Rath, Mamata (HerausgeberIn); Dieu Linh, Nguyen Thi (HerausgeberIn)
Ausgabe
1st
veröffentlicht
Boca Raton: CRC Press, 2020
Erscheinungsjahr
2020
Teil von
Artificial intelligence (AI)
Medientyp
E-Book
Datenquelle
British National Bibliography
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245 0 0 |a Artificial intelligence trends for data analytics using machine learning and deep learning approaches  |c edited by K. Gayathri Devi, Mamata Rath and Nguyen Thi Dieu 
250 |a 1st 
264 1 |a Boca Raton  |b CRC Press  |c 2020 
300 |a 1 online resource :  |b illustrations (black and white). 
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504 |a Includes bibliographical references and index. 
588 |a Description based on CIP data; resource not viewed. 
505 0 |a <P>1. An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits</P><I><P>[Govindaraj Vellingiri and Ramesh Jayabalan]</P></I><P>2. Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach</P><I><P>[Alamelu Muthukrishnan]</P></I><P>3. Object Detection and Tracking in Video Using Deep Learning Techniques: A Review</P><I><P>[Dhivya Praba Ramasamy and Kavitha Kanagaraj]</P></I><P>4. Fuzzy MCDM: Application in Disease Risk and Prediction</P><I><P>[Rachna Jain, Meenu Gupta, Abhishek Kathuria, and Devanshi Mukhopadhyay]</P></I><P>5. Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks</P><I><P>[Kishore Balasubramanian and N. B. Ananthamoorthy]</P></I><P>6. A Novel Method for Securing Cognitive Radio Communication Network Using the Machine Learning Schemes and a Rule Based Approaches</P><I><P>[Antony Hyils Sharon Magdalene and Lakshmanan Thulasimani]</P></I><P>7. Detection of Retinopathy of Prematurity Using Convolution Neural Network</P><I><P>[Deepa Dhanaskodi and Poongodi Chenniappan]</P></I><P>8. Impact of Technology on Human Resource Information System and Achieving Business Intelligence in Organizations</P><I><P>[Sharanika Dhal, Manas Kumar Pal, Archana Choudhary, and Mamata Rath]</P></I><P>9. Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm</P><I><P>[M. Sangeetha, K.N. Apinaya Prethi, and S. Nithya]</P></I><P>10. Role of Machine Learning in Social Area Networks</P><I><P>[Rajeswari Arumugam, Premalatha Balasubramaniam, and Cynthia Joseph]</P></I><P>11. Breast Cancer and Machine Learning: Interactive Breast Cancer Prediction Using Naïve Bayes Algorithm</P><I><P>[Atapaka Thrilok Gayathri and Samuel Theodore Deepa]</P></I><P>12. Deep Networks and Deep Learning Algorithms</P><I><P>[Tannu Kumari and Anjana Mishra]</P></I><P>13. Machine Learning for Big Data Analytics, Interactive and Reinforcement</P><I><P>[Ritwik Raj and Anjana Mishra]</P></I><P>14. Fish Farm Monitoring System Using IoT and Machine Learning</P><I><P>[Farjana Yeasmin Trisha, Mohammad Farhan Ferdous, and Mahmudul Hasan]</P></I> 
650 0 |a Artificial intelligence  |x Industrial applications. 
650 0 |a Machine learning  |x Industrial applications. 
650 0 |a Diagnosis  |x Data processing. 
700 1 |a Gayathri Devi, K. G.  |e editor. 
700 1 |a Rath, Mamata  |e editor. 
700 1 |a Dieu Linh, Nguyen Thi  |e editor. 
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contents <P>1. An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits</P><I><P>[Govindaraj Vellingiri and Ramesh Jayabalan]</P></I><P>2. Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach</P><I><P>[Alamelu Muthukrishnan]</P></I><P>3. Object Detection and Tracking in Video Using Deep Learning Techniques: A Review</P><I><P>[Dhivya Praba Ramasamy and Kavitha Kanagaraj]</P></I><P>4. Fuzzy MCDM: Application in Disease Risk and Prediction</P><I><P>[Rachna Jain, Meenu Gupta, Abhishek Kathuria, and Devanshi Mukhopadhyay]</P></I><P>5. Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks</P><I><P>[Kishore Balasubramanian and N. B. Ananthamoorthy]</P></I><P>6. A Novel Method for Securing Cognitive Radio Communication Network Using the Machine Learning Schemes and a Rule Based Approaches</P><I><P>[Antony Hyils Sharon Magdalene and Lakshmanan Thulasimani]</P></I><P>7. Detection of Retinopathy of Prematurity Using Convolution Neural Network</P><I><P>[Deepa Dhanaskodi and Poongodi Chenniappan]</P></I><P>8. Impact of Technology on Human Resource Information System and Achieving Business Intelligence in Organizations</P><I><P>[Sharanika Dhal, Manas Kumar Pal, Archana Choudhary, and Mamata Rath]</P></I><P>9. Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm</P><I><P>[M. Sangeetha, K.N. Apinaya Prethi, and S. Nithya]</P></I><P>10. Role of Machine Learning in Social Area Networks</P><I><P>[Rajeswari Arumugam, Premalatha Balasubramaniam, and Cynthia Joseph]</P></I><P>11. Breast Cancer and Machine Learning: Interactive Breast Cancer Prediction Using Naïve Bayes Algorithm</P><I><P>[Atapaka Thrilok Gayathri and Samuel Theodore Deepa]</P></I><P>12. Deep Networks and Deep Learning Algorithms</P><I><P>[Tannu Kumari and Anjana Mishra]</P></I><P>13. Machine Learning for Big Data Analytics, Interactive and Reinforcement</P><I><P>[Ritwik Raj and Anjana Mishra]</P></I><P>14. Fish Farm Monitoring System Using IoT and Machine Learning</P><I><P>[Farjana Yeasmin Trisha, Mohammad Farhan Ferdous, and Mahmudul Hasan]</P></I>
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spelling Artificial intelligence trends for data analytics using machine learning and deep learning approaches edited by K. Gayathri Devi, Mamata Rath and Nguyen Thi Dieu, 1st, Boca Raton CRC Press 2020, 1 online resource : illustrations (black and white)., text rdacontent, still image rdacontent, computer rdamedia, online resource rdacarrier, Artificial intelligence (AI), Includes bibliographical references and index., Description based on CIP data; resource not viewed., <P>1. An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits</P><I><P>[Govindaraj Vellingiri and Ramesh Jayabalan]</P></I><P>2. Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach</P><I><P>[Alamelu Muthukrishnan]</P></I><P>3. Object Detection and Tracking in Video Using Deep Learning Techniques: A Review</P><I><P>[Dhivya Praba Ramasamy and Kavitha Kanagaraj]</P></I><P>4. Fuzzy MCDM: Application in Disease Risk and Prediction</P><I><P>[Rachna Jain, Meenu Gupta, Abhishek Kathuria, and Devanshi Mukhopadhyay]</P></I><P>5. Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks</P><I><P>[Kishore Balasubramanian and N. B. Ananthamoorthy]</P></I><P>6. A Novel Method for Securing Cognitive Radio Communication Network Using the Machine Learning Schemes and a Rule Based Approaches</P><I><P>[Antony Hyils Sharon Magdalene and Lakshmanan Thulasimani]</P></I><P>7. Detection of Retinopathy of Prematurity Using Convolution Neural Network</P><I><P>[Deepa Dhanaskodi and Poongodi Chenniappan]</P></I><P>8. Impact of Technology on Human Resource Information System and Achieving Business Intelligence in Organizations</P><I><P>[Sharanika Dhal, Manas Kumar Pal, Archana Choudhary, and Mamata Rath]</P></I><P>9. Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm</P><I><P>[M. Sangeetha, K.N. Apinaya Prethi, and S. Nithya]</P></I><P>10. Role of Machine Learning in Social Area Networks</P><I><P>[Rajeswari Arumugam, Premalatha Balasubramaniam, and Cynthia Joseph]</P></I><P>11. Breast Cancer and Machine Learning: Interactive Breast Cancer Prediction Using Naïve Bayes Algorithm</P><I><P>[Atapaka Thrilok Gayathri and Samuel Theodore Deepa]</P></I><P>12. Deep Networks and Deep Learning Algorithms</P><I><P>[Tannu Kumari and Anjana Mishra]</P></I><P>13. Machine Learning for Big Data Analytics, Interactive and Reinforcement</P><I><P>[Ritwik Raj and Anjana Mishra]</P></I><P>14. Fish Farm Monitoring System Using IoT and Machine Learning</P><I><P>[Farjana Yeasmin Trisha, Mohammad Farhan Ferdous, and Mahmudul Hasan]</P></I>, Artificial intelligence Industrial applications., Machine learning Industrial applications., Diagnosis Data processing., Gayathri Devi, K. G. editor., Rath, Mamata editor., Dieu Linh, Nguyen Thi editor., Print version : 9780367417277, ELD ebook
spellingShingle Artificial intelligence trends for data analytics using machine learning and deep learning approaches, <P>1. An Artificial Intelligence System Based Power Estimation Method for CMOS VLSI Circuits</P><I><P>[Govindaraj Vellingiri and Ramesh Jayabalan]</P></I><P>2. Awareness Alert and Information Analysis in Social Media Networking Using Usage Analysis and Negotiable Approach</P><I><P>[Alamelu Muthukrishnan]</P></I><P>3. Object Detection and Tracking in Video Using Deep Learning Techniques: A Review</P><I><P>[Dhivya Praba Ramasamy and Kavitha Kanagaraj]</P></I><P>4. Fuzzy MCDM: Application in Disease Risk and Prediction</P><I><P>[Rachna Jain, Meenu Gupta, Abhishek Kathuria, and Devanshi Mukhopadhyay]</P></I><P>5. Deep Learning Approach to Predict and Grade Glaucoma from Fundus Images through Constitutional Neural Networks</P><I><P>[Kishore Balasubramanian and N. B. Ananthamoorthy]</P></I><P>6. A Novel Method for Securing Cognitive Radio Communication Network Using the Machine Learning Schemes and a Rule Based Approaches</P><I><P>[Antony Hyils Sharon Magdalene and Lakshmanan Thulasimani]</P></I><P>7. Detection of Retinopathy of Prematurity Using Convolution Neural Network</P><I><P>[Deepa Dhanaskodi and Poongodi Chenniappan]</P></I><P>8. Impact of Technology on Human Resource Information System and Achieving Business Intelligence in Organizations</P><I><P>[Sharanika Dhal, Manas Kumar Pal, Archana Choudhary, and Mamata Rath]</P></I><P>9. Proficient Prediction of Acute Lymphoblastic Leukemia Using Machine Learning Algorithm</P><I><P>[M. Sangeetha, K.N. Apinaya Prethi, and S. Nithya]</P></I><P>10. Role of Machine Learning in Social Area Networks</P><I><P>[Rajeswari Arumugam, Premalatha Balasubramaniam, and Cynthia Joseph]</P></I><P>11. Breast Cancer and Machine Learning: Interactive Breast Cancer Prediction Using Naïve Bayes Algorithm</P><I><P>[Atapaka Thrilok Gayathri and Samuel Theodore Deepa]</P></I><P>12. Deep Networks and Deep Learning Algorithms</P><I><P>[Tannu Kumari and Anjana Mishra]</P></I><P>13. Machine Learning for Big Data Analytics, Interactive and Reinforcement</P><I><P>[Ritwik Raj and Anjana Mishra]</P></I><P>14. Fish Farm Monitoring System Using IoT and Machine Learning</P><I><P>[Farjana Yeasmin Trisha, Mohammad Farhan Ferdous, and Mahmudul Hasan]</P></I>, Artificial intelligence Industrial applications., Machine learning Industrial applications., Diagnosis Data processing.
title Artificial intelligence trends for data analytics using machine learning and deep learning approaches
title_auth Artificial intelligence trends for data analytics using machine learning and deep learning approaches
title_full Artificial intelligence trends for data analytics using machine learning and deep learning approaches edited by K. Gayathri Devi, Mamata Rath and Nguyen Thi Dieu
title_fullStr Artificial intelligence trends for data analytics using machine learning and deep learning approaches edited by K. Gayathri Devi, Mamata Rath and Nguyen Thi Dieu
title_full_unstemmed Artificial intelligence trends for data analytics using machine learning and deep learning approaches edited by K. Gayathri Devi, Mamata Rath and Nguyen Thi Dieu
title_short Artificial intelligence trends for data analytics using machine learning and deep learning approaches
title_sort artificial intelligence trends for data analytics using machine learning and deep learning approaches
topic Artificial intelligence Industrial applications., Machine learning Industrial applications., Diagnosis Data processing.
topic_facet Artificial intelligence, Machine learning, Diagnosis, Industrial applications., Data processing.