Deep learning for Multi-horizon Water levelForecasting in KRS reservoir, India von Dayal, Abhinav, Bonthu, Sridevi, T, Vamsi Nagaraju, Saripalle, Praseeda, Mohan, Ruthvika

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Achieving strength and sustainability in ternary blended Concrete: Leveraging industrial and agricultural By-Products with controlled Nano-SiO2 content von Venkata Rao, M., Sivagamasundari, R., Vamsi Nagaraju, T.

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Harnessing explainable Artificial Intelligence (XAI) for enhanced geopolymer concrete mix optimization von Revathi, Bh, Gobinath, R., Bala, G Sri, Nagaraju, T Vamsi, Bonthu, Sridevi

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Geopolymer-stabilized soils: influencing factors, strength development mechanism and sustainability von Nagaraju, T. Vamsi, Mantena, Sireesha, Gobinath, R., Bonthu, Sridevi, Subhan Alisha, Shaik

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Predicting California Bearing Ratio of Lateritic Soils Using Hybrid Machine Learning Technique von Nagaraju, T. Vamsi, Bahrami, Alireza, Prasad, Ch. Durga, Mantena, Sireesha, Biswal, Monalisa, Islam, Md. Rashadul

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Modelling biochemical oxygen demand in a large inland aquaculture zone of India: Implications and insights von Nagaraju, T. Vamsi, Sri Bala, G., Bonthu, Sridevi, Mantena, Sireesha

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Prediction of ammonia contaminants in the aquaculture ponds using soft computing coupled with wavelet analysis von Nagaraju, T. Vamsi, B.M., Sunil, Chaudhary, Babloo, Prasad, Ch Durga, R, Gobinath

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Assessment of Environmental Impact of Aquaculture Ponds in the Western Delta Region of Andhra Pradesh von Nagaraju, T. Vamsi, Malegole, Sunil B, Chaudhary, Babloo, Ravindran, Gobinath

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Development of sustainable high performance geopolymer concrete and mortar using agricultural biomass—A strength performance and sustainability analysis von Nagaraju, T. Vamsi, Bahrami, Alireza, Azab, Marc, Naskar, Susmita

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Engineering behaviour of expansive clays blended with cement and GGBS von Phanikumar, B. Ramachandra, Nagaraju, T. Vamsi

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Response of High Swelling Montmorillonite Clays with Aqueous Polymer von Panda, Guru Prasad, Bahrami, Alireza, Nagaraju, T. Vamsi, Isleem, Haytham F.

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Prediction of high strength ternary blended concrete containing different silica proportions using machine learning approaches von Nagaraju, T. Vamsi, Mantena, Sireesha, Azab, Marc, Alisha, Shaik Subhan, El Hachem, Chady, Adamu, Musa, Rama Murthy, Pilla Sita

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Temperature-dependent compressive strength modeling of geopolymer blocks utilizing glass powder and steel slag von Janga, Supriya, Raut, Ashwin, Bahrami, Alireza, Nagaraju, T. Vamsi, Bonthu, Sridevi

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Exploring the impact of aquaculture sludge on the swell-shrink behavior of expansive clays von Vamsi Nagaraju, T., Sunil, B.M., Chaudhary, Babloo, Gobinath, R., Sri Bala, G.

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Aerobic granular sludge-based sustainable wastewater treatment: Process, bottlenecks, and knowledge gap through scientometric perspective von Vydehi, Pingili, Ravindran, Gobinath, Shyamala, G., Bala G, Sri, Nagaraju T, Vamsi, Mekala, Mallaiah, Karri, Rama Rao

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Swarm-assisted multiple linear regression models for compression index (Cc) estimation of blended expansive clays von Nagaraju, T. Vamsi, Prasad, Ch. Durga

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Performance of recycled Bakelite plastic waste as eco-friendly aggregate in the concrete beams von R, Mohan, Chakrawarthi, Vijayaprabha, Nagaraju, T. Vamsi, Avudaiappan, Siva, Awolusi, T.F., Roco-Videla, Ángel, Azab, Marc, Kozlov, Pavel

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Invasive Weed Optimization Algorithm for Prediction of Compression Index of Lime-Treated Expansive Clays von Vamsi Nagaraju, T., Durga Prasad, Ch, Murthy, N. G. K.

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Machine learning and nonlinear finite element analysis of fiber‐reinforced polymer‐confined concrete‐steel double‐skin tubular columns under axial compression von Isleem, Haytham F., Qiong, Tang, Chukka, Naga Dheeraj Kumar Reddy, Kumar, Rakesh, Nagaraju, T. Vamsi, Hamed, Asmaa Y.

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Experimental and Machine Learning-Based Investigation of Cyclic Thermal Resilience of Geopolymer Concrete with Slag and Glass Powders von Raut, Ashwin, Nagaraju, T. Vamsi, Maaze, Mohammed Rihan, Janga, Supriya, Rathnayake, Upaka, Bonthu, Sridevi

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