كتاب إلكتروني

Machine Learning Approaches for the Estimation of Particulate Matter (PM2.5) Concentration Levels: A Case Study in the Hyderabad City, India

التفاصيل البيبلوغرافية
العنوان: Machine Learning Approaches for the Estimation of Particulate Matter (PM2.5) Concentration Levels: A Case Study in the Hyderabad City, India
المؤلفون: Krishnappa, LathaAff19, Devatha, C. P.Aff19
المساهمون: Kacprzyk, Janusz, Series EditorAff1, Pal, Nikhil R., Advisory EditorAff2, Bello Perez, Rafael, Advisory EditorAff3, Corchado, Emilio S., Advisory EditorAff4, Hagras, Hani, Advisory EditorAff5, Kóczy, László T., Advisory EditorAff6, Kreinovich, Vladik, Advisory EditorAff7, Lin, Chin-Teng, Advisory EditorAff8, Lu, Jie, Advisory EditorAff9, Melin, Patricia, Advisory EditorAff10, Nedjah, Nadia, Advisory EditorAff11, Nguyen, Ngoc Thanh, Advisory EditorAff12, Wang, Jun, Advisory EditorAff13, Bansal, Jagdish Chand, editorAff14, Das, Kedar Nath, editorAff15, Nagar, Atulya, editorAff16, Deep, Kusum, editorAff17, Ojha, Akshay Kumar, editorAff18
المصدر: Soft Computing for Problem Solving : SocProS 2017, Volume 1. 816:765-774
قاعدة البيانات: Springer Nature eBooks
الوصف
ردمك:9789811315916
9789811315923
DOI:10.1007/978-981-13-1592-3_61