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220104 ||| eng |
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|a 9789811675232
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| 100 |
1 |
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|a Shinde, Gitanjali Rahul
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| 245 |
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|a Quality of Work-Life During Pandemic
|h Elektronische Ressource
|b Data Analysis and Mathematical Modeling
|c by Gitanjali Rahul Shinde, Soumi Majumder, Haribhau R. Bhapkar, Parikshit N. Mahalle
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| 250 |
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|a 1st ed. 2022
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| 260 |
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|a Singapore
|b Springer Nature Singapore
|c 2022, 2022
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| 300 |
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|a XVI, 116 p. 32 illus., 28 illus. in color
|b online resource
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| 505 |
0 |
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|a Introduction -- Data Analysis and Mathematical Modeling for Covid-19 Pandemic -- Influence of Covid-19 on Quality of Work Life in Real Estate Sector -- Influence of Covid-19 on Quality of Work Life in Education Sector -- Influence of Covid-19 on Quality of Work Life in Information Technology/ Software Industries -- Influence of Covid-19 on Quality of Work Life in Agriculture Sector.
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| 653 |
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|a Data Analysis and Big Data
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| 653 |
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|a Computational intelligence
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| 653 |
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|a Computer simulation
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| 653 |
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|a Computer Modelling
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| 653 |
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|a Quantitative research
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| 653 |
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|a Mathematical Models of Cognitive Processes and Neural Networks
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| 653 |
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|a Computational Intelligence
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| 653 |
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|a Neural networks (Computer science)
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| 700 |
1 |
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|a Majumder, Soumi
|e [author]
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| 700 |
1 |
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|a Bhapkar, Haribhau R.
|e [author]
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| 700 |
1 |
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|a Mahalle, Parikshit N.
|e [author]
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| 041 |
0 |
7 |
|a eng
|2 ISO 639-2
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| 989 |
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|b Springer
|a Springer eBooks 2005-
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| 490 |
0 |
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|a Studies in Big Data
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| 028 |
5 |
0 |
|a 10.1007/978-981-16-7523-2
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| 856 |
4 |
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|u https://doi.org/10.1007/978-981-16-7523-2?nosfx=y
|x Verlag
|3 Volltext
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| 082 |
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|a 006.3
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| 520 |
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|a This book is focused on the impact of the COVID-19 pandemic on different sectors, i.e., education, real estate, health, and agriculture. The lockdown has been announced to control the spread of COVID-19 infections, however people/industries/organizations were not ready for lockdown and it has greatly affected their growth. The front workers in the healthcare sector suffered a lot as major responsibilities they needed to carry on. The education sector is also hampered due to the pandemic as schools, colleges were closed and teaching, examinations were carried out on online platforms. These platforms were new to teachers as well as students. The real estate sector faced tremendous loss in this pandemic as people were scared and no one ready to invest their money in such an uncertain time. The agriculture filed is also suffered as raw materials required for agriculture were not available readily due to pandemic. This book presents a survey that is conducted to understand the impact of COVID-19 on the quality of work-life in various sectors. The survey is focused majorly on four sectors, i.e. education, healthcare, real estate and agriculture. Data analysis is done based on responses of survey and mathematical modeling is provided for each case study
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