| Exploring the benefits of endophytic fungi via omics H Chetia, D Kabiraj, B Bharali, S Ojha, MP Barkataki, D Saikia, T Singh, ... Advances in endophytic fungal research: present status and future challenges …, 2019 | 21 | 2019 |
| Machine learning tool-based prediction and forecasting of municipal solid waste generation rate: a case study in Guwahati, Assam, India T Singh, RVS Uppaluri International Journal of Environmental Science and Technology 20 (11), 12207 …, 2023 | 8 | 2023 |
| Plant-nanoparticle interactions: Mechanisms, effects, and approaches MP Barkataki, T Singh Comprehensive analytical chemistry 87, 55-83, 2019 | 5 | 2019 |
| Application of ANN and traditional ML algorithms in modelling compost production under different climatic conditions T Singh, RVS Uppaluri Neural Computing and Applications 35 (18), 13465-13484, 2023 | 2 | 2023 |
| Next generation approaches for toxicity studies: Perspective on omics-based tools MP Barkataki, T Singh Engineered Nanomaterials and Phytonanotechnology: Challenges for Plant …, 2019 | 2 | 2019 |
| Characterization of municipal solid waste generation and seasonal classification for various socio-demographic groups in Guwahati city T Singh, A Naik, RVS Uppaluri Journal of Material Cycles and Waste Management 26 (2), 1210-1230, 2024 | 1 | 2024 |
| Optimizing biogas production: a novel hybrid approach using anaerobic digestion calculator and machine learning techniques on Indian biogas plant S Tinka, UR V.S. Clean Technologies and Environmental Policy, 1-25, 2023 | 1 | 2023 |
| Mitigation of spectrum sensing data falsification attack (SSDF) in cognitive radio network S Banerjee, T Singh, KR Singh Journal of The Institution of Engineers (India): Series B 103 (4), 1249-1257, 2022 | 1 | 2022 |
| Characterization of municipal solid waste generation and seasonal classifcation for various socio‐demographic groups in Guwahati city S Tinka, N Abhipsa, U Ramagopal Journal of Material Cycles and Waste Management, 2024 | | 2024 |
| Feed-forward ANN and traditional machine learning-based prediction of biogas generation rate from meteorological and organic waste parameters TSRVS Uppaluri The Journal of Supercomputing, 2023 | | 2023 |
| Prediction and Forecasting Municipal Solid Waste Generation of Northeastern Cities by Retrofitting ML Models of Guwahati, India T Singh, RVS Uppaluri North-East Research Conclave, 89-120, 2022 | | 2022 |
| Conservation of Biodiversity in the North Eastern States of India RVS Uppaluri, L Rangan | | |
Ramagopal UppaluriIIT Guwahati在 iitg.ernet.in 的电子邮件经过验证
Ramagopal UppaluriIIT Guwahati在 iitg.ernet.in 的电子邮件经过验证
Subhasish BanerjeeNational Institute of Technology, Arunachal Pradesh在 nitap.ac.in 的电子邮件经过验证