Regression Analysis as a Metric for Sustainability Development: Validation of Indian Territory
- Title
- Regression Analysis as a Metric for Sustainability Development: Validation of Indian Territory
- Creator
- Mohata R.; Chandrakar A.; Mishra S.; Sharma V.; Humuavbi I.; Ekakitie E.L.
- Description
- The 2030 Development Agenda styled' Transforming our world The 2030 Agenda for Sustainable Development' was hugged by the transnational locales of the UN General Assembly in 2015. Monitoring the progress of countries towards achieving these pretensions is pivotal for sustainable development. This exploration paper offers an innovative stance toward foretelling the SDG Index of Indian states for the near future times using machine learning ways, logical and visualization tools. The paper focuses on India's sweats towards achieving the SDGs and investigates the factors impacting the SDG performance of individual Indians states. A comprehensive dataset is collected, encompassing a wide range of socio-profitable pointers, demographic data, and environmental criteria applicable to each SDG target. Literal SDG Index scores and corresponding state-specific data are collected to assay and find some trends. The study demonstrates the eventuality of vaticination ways in vaticinating the unborn SDG Index scores of Indian states. The time series graph showcases varying degrees of delicacy across different SDGs, indicating the complexity and diversity of experimental challenges. 2024 IEEE.
- Source
- Proceedings - International Conference on Computing, Power, and Communication Technologies, IC2PCT 2024, pp. 625-630.
- Date
- 2024-01-01
- Publisher
- Institute of Electrical and Electronics Engineers Inc.
- Subject
- SDG Index; Sustainable Development
- Coverage
- Mohata R., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Chandrakar A., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Mishra S., Deemed to Be University, Kalinga Institute of Industrial Technology, India; Sharma V., Christ (Deemed to Be University), Delhi NCR, India; Humuavbi I., School of Law, University of Bolton, Deane Road, Bolton, United Kingdom; Ekakitie E.L., University of Bolton, School of Creative Technologies, United Kingdom
- Rights
- Restricted Access
- Relation
- ISBN: 979-835038352-2
- Format
- Online
- Language
- English
- Type
- Conference paper
Collection
Citation
Mohata R.; Chandrakar A.; Mishra S.; Sharma V.; Humuavbi I.; Ekakitie E.L., “Regression Analysis as a Metric for Sustainability Development: Validation of Indian Territory,” CHRIST (Deemed To Be University) Institutional Repository, accessed February 24, 2025, https://archives.christuniversity.in/items/show/19471.