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Inventory Processing and Query Management using Data Visualization
Authors
1Assistant Professor, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India. 2345Students, Department of Computer Science and Engineering, K.L.N. College of Engineering and Technology, Sivagangai, Tamilnadu, India.
Article Information
- DOI
- No DOI
- Published In
- Volume 5, Issue 5 (2024)
- Published Online
- September-October 2024
- Pages
- 46-48
- Article Type
- Research Article
- Check for updates
- No DOI available for cross-reference
References
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IEEE Access, vol. 53, pp. 3389-3399, 2023
2. S. Sakri et al., “A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future
Domain Specific Visualization Framework”, in IEEE Access, vol. 10, pp. 96581 - 96601, 2022
3. M. Koschi and M. Althoff, “Set-based prediction of traffic participants considering occlusions and traffic rules,” IEEE Trans. Intell.
Veh., vol. 6, no. 2, pp. 249–265, Jun. 2021.
4. T. A. Stewart, Intellectual Capital: The New Wealth of Organization. New York, NY, USA: Crown Business, 1997.
5. P. Vanhulst, F. Evequoz, R. Tuor, and D. Lalanne, ‘‘A descriptive attribute976 based framework for annotations in data visualization,’’
in Proc. Int. Joint 977 Conf. Comput. Vis., Imag. Comput. Graph. Cham, Switzerland: Springer, 978 2018, pp. 143–166
IEEE Access, vol. 53, pp. 3389-3399, 2023
2. S. Sakri et al., “A Comprehensive State-of-the-Art Survey on Data Visualization Tools: Research Developments, Challenges and Future
Domain Specific Visualization Framework”, in IEEE Access, vol. 10, pp. 96581 - 96601, 2022
3. M. Koschi and M. Althoff, “Set-based prediction of traffic participants considering occlusions and traffic rules,” IEEE Trans. Intell.
Veh., vol. 6, no. 2, pp. 249–265, Jun. 2021.
4. T. A. Stewart, Intellectual Capital: The New Wealth of Organization. New York, NY, USA: Crown Business, 1997.
5. P. Vanhulst, F. Evequoz, R. Tuor, and D. Lalanne, ‘‘A descriptive attribute976 based framework for annotations in data visualization,’’
in Proc. Int. Joint 977 Conf. Comput. Vis., Imag. Comput. Graph. Cham, Switzerland: Springer, 978 2018, pp. 143–166
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