Rajiv Gupta
- Spatiotemporal analysis and prediction of urban evolution patterns using Artificial Neural Network tool. Dans: Proceedings of the Institution of Civil Engineers - Urban Design and Planning. :
- GIS-based multi-criteria decision-making for ranking potential sites for centralized rainwater harvesting. Dans: Asian Journal of Civil Engineering, v. 24, n. 2 (octobre 2022). (2022):
- Stability Analysis of Directional Tunnel in Sandy Soil. Dans: IOP Conference Series: Materials Science and Engineering, v. 1197, n. 1 (1 novembre 2021). (2021):
- Application of BIM framework on rural infrastructure. Dans: Asian Journal of Civil Engineering, v. 23, n. 2 (février 2022). (2022):
- Automated Bacteria Colony Counting on Agar Plates Using Machine Learning. Dans: Journal of Environmental Engineering (ASCE), v. 147, n. 12 (décembre 2021). (2021):
- Prediction of Safe Bearing Capacity of Noncohesive Soil in Arid Zone Using Artificial Neural Networks. Dans: International Journal of Geomechanics, v. 16, n. 2 (avril 2016). (2016):
- Environmental Impact Analysis Using Fuzzy Relation for Landfill Siting. Dans: Journal of Urban Planning and Development, v. 129, n. 3 (septembre 2003). (2003):
- New Static Sunshade Design for Energy-Efficient Buildings. Dans: Journal of Energy Engineering, v. 132, n. 1 (avril 2006). (2006):
- Annual Thermal Performance of a Hollow Roof in Combination with a Cavity Wall and Static Sunshade: Experimental Study of Energy-Efficient Rooms. Dans: Journal of Energy Engineering, v. 139, n. 4 (décembre 2013). (2013):
- Design development and thermal performance evaluation of static sunshade and brick cavity wall: An experimental study. Dans: Energy and Buildings, v. 60 (mai 2013). (2013):
- Effect of energy efficient building elements on summer cooling of buildings. Dans: Energy and Buildings, v. 67 (décembre 2013). (2013):
- Solid waste management and sustainable cities in India: the case of Chandigarh. Dans: Environment and Urbanization, v. 27, n. 2 (octobre 2015). (2015):
- Concrete compressive strength prediction using ultrasonic pulse velocity through artificial neural networks. Dans: Automation in Construction, v. 15, n. 3 (mai 2006). (2006):
- Prediction of Concrete Strength Using Neural-Expert System. Dans: Journal of Materials in Civil Engineering (ASCE), v. 18, n. 3 (juin 2006). (2006):