Machine learning algorithms and applications in engineering:
"Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and mod...
Gespeichert in:
| Weitere Verfasser: | , , , |
|---|---|
| Format: | Elektronisch E-Book |
| Sprache: | English |
| Veröffentlicht: |
Boca Raton ; London ; New York
CRC Press
[2023]
|
| Ausgabe: | First edition |
| Schlagworte: | |
| Online-Zugang: | DE-1050 |
| Zusammenfassung: | "Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks"-- |
| Beschreibung: | 1 Online-Ressource (xiv, 323 Seiten) |
| ISBN: | 9781000642353 |
Internformat
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| 245 | 1 | 0 | |a Machine learning algorithms and applications in engineering |c edited by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández- Navarro, and Javier Pérez-Rodríguez |
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| 300 | |a 1 Online-Ressource (xiv, 323 Seiten) | ||
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| 338 | |b cr |2 rdacarrier | ||
| 505 | 8 | |a Machine learning for smart healthcare / Rehab A. Rayan -- Predictive analysis for flood risk mapping utilizing machine learning approach / Aditya Singh, Sunil Khatri, Sandhya Save, Hemant Kasturiwale -- Dependability analysis on CPs using machine learning techniques / S. Krishna Narayanan, S. Dhanasekaran, V. Vasudevan -- Machine learning for risk analysis / Parita Jain, Puneet Kumar Aggarwal, Kshirja Makar, Riya Garg, Jaya Mehta, Poorvi Chaudhary -- Machine learning techniques enabled electric vehicle / M. Shyamalagowri, G Revathy -- A comparative analysis of established techniques and their applications in the field of gesture detection / Muskan Jindal, Eshan Bajal, Shilpi Sharma -- Brain-computer-interface for dream visualization using deep learning / Brijesh K. Soni, Akhilesh A. Waoo -- Machine learning and data analysis based breast cancer classification / Souvik Das, K Rama Chaitanya, O B Krishna, and J Maiti -- Accurate automatic functional recognition of proteins : overview and current computational challenges / Javier Pérez-Rodríguez, Morteza Yazdani, Prasenjit Chatterjee -- Taxonomy of shilling attack detection techniques in recommender system / Abhishek Majumder, Keya Chowdhury, Joy Lal Sarkar -- Machine learning applications in real-world time series problems / Antonio Manuel Durán-Rosal, David Guijo-Rubio, Morteza Yazdani, Prasenjit Chatterjee -- Prediction of selective laser sintering part quality using deep learning / Lokesh Kumar Saxena, Pramod Kumar Jain -- CBPP : an efficient algorithm for privacy preserving data publishing of 1 : M micro data with multiple sensitive attributes / Jayapradha. J, Prakash. M -- Classification of network traffic on ISP link and analysis of network bandwidth during COVID-19 / Ajantha Devi. V, Yogendra Malgundkar, Bandana Mahapatra -- Integration of AI/Ml in 5G technology toward intelligent connectivity, security, and challenges / Devasis Pradhan, Prasanna Kumar Sahu, Rajeswari, Hla Myo Tun, Naw Khu Say Wah | |
| 520 | |a "Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks"-- | ||
| 650 | 4 | |a Artificial intelligence / Industrial applications | |
| 650 | 4 | |a Machine learning | |
| 650 | 4 | |a Algorithms | |
| 650 | 4 | |a Intelligence artificielle / Applications industrielles | |
| 650 | 4 | |a Apprentissage automatique | |
| 650 | 4 | |a Algorithmes | |
| 650 | 7 | |a algorithms |2 aat | |
| 650 | 7 | |a Algorithms |2 fast | |
| 650 | 7 | |a Artificial intelligence / Industrial applications |2 fast | |
| 650 | 7 | |a Machine learning |2 fast | |
| 700 | 1 | |a Chatterjee, Prasenjit |d 1982- |0 (DE-588)1090791038 |4 edt | |
| 700 | 1 | |a Morteza, Yazdani |4 edt | |
| 700 | 1 | |a Fernández- Navarro, Francisco |4 edt | |
| 700 | 1 | |a Pérez-Rodríguez, Javier |4 edt | |
| 776 | 0 | 8 | |i Erscheint auch als |n Online-Ausgabe |z 9781003104858 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, hbk |z 978-0-367-56912-9 |
| 776 | 0 | 8 | |i Erscheint auch als |n Druck-Ausgabe, pbk |z 978-0-367-61255-9 |
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Datensatz im Suchindex
| _version_ | 1809768063835308032 |
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| adam_text | |
| any_adam_object | |
| author2 | Chatterjee, Prasenjit 1982- Morteza, Yazdani Fernández- Navarro, Francisco Pérez-Rodríguez, Javier |
| author2_role | edt edt edt edt |
| author2_variant | p c pc y m ym n f f nf nff j p r jpr |
| author_GND | (DE-588)1090791038 |
| author_facet | Chatterjee, Prasenjit 1982- Morteza, Yazdani Fernández- Navarro, Francisco Pérez-Rodríguez, Javier |
| building | Verbundindex |
| bvnumber | BV049840945 |
| collection | ZDB-30-PQE |
| contents | Machine learning for smart healthcare / Rehab A. Rayan -- Predictive analysis for flood risk mapping utilizing machine learning approach / Aditya Singh, Sunil Khatri, Sandhya Save, Hemant Kasturiwale -- Dependability analysis on CPs using machine learning techniques / S. Krishna Narayanan, S. Dhanasekaran, V. Vasudevan -- Machine learning for risk analysis / Parita Jain, Puneet Kumar Aggarwal, Kshirja Makar, Riya Garg, Jaya Mehta, Poorvi Chaudhary -- Machine learning techniques enabled electric vehicle / M. Shyamalagowri, G Revathy -- A comparative analysis of established techniques and their applications in the field of gesture detection / Muskan Jindal, Eshan Bajal, Shilpi Sharma -- Brain-computer-interface for dream visualization using deep learning / Brijesh K. Soni, Akhilesh A. Waoo -- Machine learning and data analysis based breast cancer classification / Souvik Das, K Rama Chaitanya, O B Krishna, and J Maiti -- Accurate automatic functional recognition of proteins : overview and current computational challenges / Javier Pérez-Rodríguez, Morteza Yazdani, Prasenjit Chatterjee -- Taxonomy of shilling attack detection techniques in recommender system / Abhishek Majumder, Keya Chowdhury, Joy Lal Sarkar -- Machine learning applications in real-world time series problems / Antonio Manuel Durán-Rosal, David Guijo-Rubio, Morteza Yazdani, Prasenjit Chatterjee -- Prediction of selective laser sintering part quality using deep learning / Lokesh Kumar Saxena, Pramod Kumar Jain -- CBPP : an efficient algorithm for privacy preserving data publishing of 1 : M micro data with multiple sensitive attributes / Jayapradha. J, Prakash. M -- Classification of network traffic on ISP link and analysis of network bandwidth during COVID-19 / Ajantha Devi. V, Yogendra Malgundkar, Bandana Mahapatra -- Integration of AI/Ml in 5G technology toward intelligent connectivity, security, and challenges / Devasis Pradhan, Prasanna Kumar Sahu, Rajeswari, Hla Myo Tun, Naw Khu Say Wah |
| ctrlnum | (OCoLC)1454756816 (DE-599)BVBBV049840945 |
| edition | First edition |
| format | Electronic eBook |
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| id | DE-604.BV049840945 |
| illustrated | Not Illustrated |
| indexdate | 2024-09-10T00:48:40Z |
| institution | BVB |
| isbn | 9781000642353 |
| language | English |
| oai_aleph_id | oai:aleph.bib-bvb.de:BVB01-035180892 |
| oclc_num | 1454756816 |
| open_access_boolean | |
| owner | DE-1050 |
| owner_facet | DE-1050 |
| physical | 1 Online-Ressource (xiv, 323 Seiten) |
| psigel | ZDB-30-PQE ZDB-30-PQE FHD01_PQE_Kauf |
| publishDate | 2023 |
| publishDateSearch | 2023 |
| publishDateSort | 2023 |
| publisher | CRC Press |
| record_format | marc |
| spelling | Machine learning algorithms and applications in engineering edited by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández- Navarro, and Javier Pérez-Rodríguez First edition Boca Raton ; London ; New York CRC Press [2023] 1 Online-Ressource (xiv, 323 Seiten) txt rdacontent c rdamedia cr rdacarrier Machine learning for smart healthcare / Rehab A. Rayan -- Predictive analysis for flood risk mapping utilizing machine learning approach / Aditya Singh, Sunil Khatri, Sandhya Save, Hemant Kasturiwale -- Dependability analysis on CPs using machine learning techniques / S. Krishna Narayanan, S. Dhanasekaran, V. Vasudevan -- Machine learning for risk analysis / Parita Jain, Puneet Kumar Aggarwal, Kshirja Makar, Riya Garg, Jaya Mehta, Poorvi Chaudhary -- Machine learning techniques enabled electric vehicle / M. Shyamalagowri, G Revathy -- A comparative analysis of established techniques and their applications in the field of gesture detection / Muskan Jindal, Eshan Bajal, Shilpi Sharma -- Brain-computer-interface for dream visualization using deep learning / Brijesh K. Soni, Akhilesh A. Waoo -- Machine learning and data analysis based breast cancer classification / Souvik Das, K Rama Chaitanya, O B Krishna, and J Maiti -- Accurate automatic functional recognition of proteins : overview and current computational challenges / Javier Pérez-Rodríguez, Morteza Yazdani, Prasenjit Chatterjee -- Taxonomy of shilling attack detection techniques in recommender system / Abhishek Majumder, Keya Chowdhury, Joy Lal Sarkar -- Machine learning applications in real-world time series problems / Antonio Manuel Durán-Rosal, David Guijo-Rubio, Morteza Yazdani, Prasenjit Chatterjee -- Prediction of selective laser sintering part quality using deep learning / Lokesh Kumar Saxena, Pramod Kumar Jain -- CBPP : an efficient algorithm for privacy preserving data publishing of 1 : M micro data with multiple sensitive attributes / Jayapradha. J, Prakash. M -- Classification of network traffic on ISP link and analysis of network bandwidth during COVID-19 / Ajantha Devi. V, Yogendra Malgundkar, Bandana Mahapatra -- Integration of AI/Ml in 5G technology toward intelligent connectivity, security, and challenges / Devasis Pradhan, Prasanna Kumar Sahu, Rajeswari, Hla Myo Tun, Naw Khu Say Wah "Machine Learning (ML) is a sub field of artificial intelligence that uses soft computing and algorithms to enable computers to learn on their own and identify patterns in observed data, build models that explain the world, and predict things without having explicit pre-programmed rules and models. This book discusses various applications of ML in engineering fields and the use of ML algorithms in solving challenging engineering problems ranging from biomedical, transport, supply chain and logistics, to manufacturing and industrial. Through numerous case studies, it will assist researchers and practitioners in selecting the correct options and strategies for managing organizational tasks"-- Artificial intelligence / Industrial applications Machine learning Algorithms Intelligence artificielle / Applications industrielles Apprentissage automatique Algorithmes algorithms aat Algorithms fast Artificial intelligence / Industrial applications fast Machine learning fast Chatterjee, Prasenjit 1982- (DE-588)1090791038 edt Morteza, Yazdani edt Fernández- Navarro, Francisco edt Pérez-Rodríguez, Javier edt Erscheint auch als Online-Ausgabe 9781003104858 Erscheint auch als Druck-Ausgabe, hbk 978-0-367-56912-9 Erscheint auch als Druck-Ausgabe, pbk 978-0-367-61255-9 |
| spellingShingle | Machine learning algorithms and applications in engineering Machine learning for smart healthcare / Rehab A. Rayan -- Predictive analysis for flood risk mapping utilizing machine learning approach / Aditya Singh, Sunil Khatri, Sandhya Save, Hemant Kasturiwale -- Dependability analysis on CPs using machine learning techniques / S. Krishna Narayanan, S. Dhanasekaran, V. Vasudevan -- Machine learning for risk analysis / Parita Jain, Puneet Kumar Aggarwal, Kshirja Makar, Riya Garg, Jaya Mehta, Poorvi Chaudhary -- Machine learning techniques enabled electric vehicle / M. Shyamalagowri, G Revathy -- A comparative analysis of established techniques and their applications in the field of gesture detection / Muskan Jindal, Eshan Bajal, Shilpi Sharma -- Brain-computer-interface for dream visualization using deep learning / Brijesh K. Soni, Akhilesh A. Waoo -- Machine learning and data analysis based breast cancer classification / Souvik Das, K Rama Chaitanya, O B Krishna, and J Maiti -- Accurate automatic functional recognition of proteins : overview and current computational challenges / Javier Pérez-Rodríguez, Morteza Yazdani, Prasenjit Chatterjee -- Taxonomy of shilling attack detection techniques in recommender system / Abhishek Majumder, Keya Chowdhury, Joy Lal Sarkar -- Machine learning applications in real-world time series problems / Antonio Manuel Durán-Rosal, David Guijo-Rubio, Morteza Yazdani, Prasenjit Chatterjee -- Prediction of selective laser sintering part quality using deep learning / Lokesh Kumar Saxena, Pramod Kumar Jain -- CBPP : an efficient algorithm for privacy preserving data publishing of 1 : M micro data with multiple sensitive attributes / Jayapradha. J, Prakash. M -- Classification of network traffic on ISP link and analysis of network bandwidth during COVID-19 / Ajantha Devi. V, Yogendra Malgundkar, Bandana Mahapatra -- Integration of AI/Ml in 5G technology toward intelligent connectivity, security, and challenges / Devasis Pradhan, Prasanna Kumar Sahu, Rajeswari, Hla Myo Tun, Naw Khu Say Wah Artificial intelligence / Industrial applications Machine learning Algorithms Intelligence artificielle / Applications industrielles Apprentissage automatique Algorithmes algorithms aat Algorithms fast Artificial intelligence / Industrial applications fast Machine learning fast |
| title | Machine learning algorithms and applications in engineering |
| title_auth | Machine learning algorithms and applications in engineering |
| title_exact_search | Machine learning algorithms and applications in engineering |
| title_full | Machine learning algorithms and applications in engineering edited by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández- Navarro, and Javier Pérez-Rodríguez |
| title_fullStr | Machine learning algorithms and applications in engineering edited by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández- Navarro, and Javier Pérez-Rodríguez |
| title_full_unstemmed | Machine learning algorithms and applications in engineering edited by Prasenjit Chatterjee, Morteza Yazdani, Francisco Fernández- Navarro, and Javier Pérez-Rodríguez |
| title_short | Machine learning algorithms and applications in engineering |
| title_sort | machine learning algorithms and applications in engineering |
| topic | Artificial intelligence / Industrial applications Machine learning Algorithms Intelligence artificielle / Applications industrielles Apprentissage automatique Algorithmes algorithms aat Algorithms fast Artificial intelligence / Industrial applications fast Machine learning fast |
| topic_facet | Artificial intelligence / Industrial applications Machine learning Algorithms Intelligence artificielle / Applications industrielles Apprentissage automatique Algorithmes algorithms |
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