Machine Learning Advances in Computing Renewable Energy and Communication

Machine Learning Advances in Computing Renewable Energy and Communication Login for the JSON version of this page.

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Title: Machine Learning Advances in Computing Renewable Energy and Communication
ISBN-10: 981-16-2354-6
ISBN-13: 978-981-16-2354-7
Author(s): Ritika Chauhan, Jiming Chen, Samarjit Chakraborty, Sudhanshu Maurya, Cun Zheng Ning, Mayank Joshi, Torsten Kroeger, Marco A. Arteaga, Loveleen Gaur, Sangeeta Singh, D. Saxena, Yong Qin, Sandra Hirche, K. P. Dubey, Yong Li, Naresh Kumar, Qilian Liang, Ananya Shahi, Shelly Oberoi, Pramod Kumar, Sebastian Moller, Anuradha Tomar, Deepak Verma, Rajesh Pant, Haitao Wu, Sunil Kumar, Sumit Sharma, Kushagra Tiwari, Praveen Kumar, Pankaj Negi, Leopoldo Angrisani, Rahul Katarya, Joachim Speidel, Kumar Sunori, Rajeev Sood, Ashutosh Bhatt, Faryar Jabbari, Limin Jia, Shefali Tripathi, Abhishek Sharma, Rajesh Sharma, Toyoaki Nishida, Anant Sant, Rudiger Dillmann, B. K. Panigrahi, Wolfgang Minker, Pradeep Kumar Misra, Hasmat Malik, Janusz Kacprzyk, Germano Veiga, Naveen Tewari, Ferran Martin, T. Sanjay, Subhas Mukhopadhyay, Federica Pascucci, Jasmeet Kalra, Tan Chen, Junjie Zhang, Woon Gan, Atif Iqbal, V. S. Anil Kumar, Manuel Ferre, Mamta Mittal
Publisher: Springer
Published: 2022
Format
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Pages: 533
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Description

Metadata

EAN: 9789811623547
ASIN: 9811623546
Prefix: 978
Group: 981
Group Name: Singapore
Group Identifier: 978-981
Registrant: 16
Publication: 2354
Check Digit: 7
Formatted: 978-981-16-2354-7

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