Estimation of elastic constant of rocks using an ANFIS approach. - Rajesh Singh; Ashutosh Kainthola; T. N. Singh (Appl. Soft Comput., 2012)

A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks. - Rajesh Singh; V. Vishal; T. N. Singh; P. G. Ranjith (Neural Comput. Appl., 2013)

Evaluating the modulus of elasticity of soil using soft computing system. - L. K. Sharma; Rajesh Singh; R. K. Umrao; K. M. Sharma; T. N. Singh (Eng. Comput., 2017)

Indirect estimation of compressive and shear strength from simple index tests. - P. K. Singh; Ashutosh Tripathy; Ashutosh Kainthola; Bankim Mahanta; Vinay Singh; T. N. Singh (Eng. Comput., 2017)

Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples. - Manoj Khandelwal; Aminaton Marto; Seyed Alireza Fatemi; Mahyar Ghoroqi; Danial Jahed Armaghani; T. N. Singh; Omid Tabrizi (Eng. Comput., 2018)

Regression-based models for the prediction of unconfined compressive strength of artificially structured soil. - L. K. Sharma; T. N. Singh (Eng. Comput., 2018)

Development of novel methods to predict the strength properties of thermally treated sandstone using statistical and soft-computing approach. - Nikhil Ninad Sirdesai; Alok Singh; Lakshmi Kant Sharma; Rajesh Singh; T. N. Singh (Neural Comput. Appl., 2019)

Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing. - Shivani Tripathi; Praveen Kumar; Priyadarshni Gupta; Rajiv Misra; T. N. Singh (IEEE Big Data, 2023)

Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM. - Anil Verma 003; Harshit Dhankhar; Rajiv Misra; T. N. Singh; Om Prakash Dhakal (IEEE Big Data, 2023)

Machine learning algorithm for the shear strength prediction of basalt-driven lateritic soil. - Anurag Niyogi; Tariq Anwar Ansari; Sumanta Kumar Sathapathy; Kripamoy Sarkar; T. N. Singh (Earth Sci. Informatics, 2023)

Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks. - Anil Verma 003; Lalit Chandra Routhu; Rishikant Chigrupaatii; Anurag Choubey; Rajiv Misra; T. N. Singh (IEEE Big Data, 2024)

Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers. - Anil Verma 003; Sumit Kumar Singh; Rupesh Kumar Sah; Rajiv Misra; T. N. Singh (IEEE Big Data, 2024)

Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies. - Vaneet Kour; Sudhir Kumar; Rajiv Misra; T. N. Singh (IEEE Big Data, 2024)

Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks. - Shivani Tripathi; Praveen Kumar; Mailram Sai Chaitanya; Nagireddy Sai Tarun Teja; Rajiv Misra; T. N. Singh (IEEE Big Data, 2024)

Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope. - Sudarshan Nandy; Mainak Adhikari; Arunava Ray; Rajesh Rai; T. N. Singh (IEEE Internet Things J., 2024)

Optimizing Air Pollution Forecasting Models Through Knowledge Distillation: A Novel GCN and TRANS_GRU Methodology for Indian Cities. - Sudhir Kumar; Vaneet Kour; Ankit Raj; Tagru Tapung; Shivendu Mishra; Rajiv Misra; T. N. Singh (IEEE Access, 2025)

Multilayer multivariate forecasting network for precise resource utilization prediction in edge data centers. - Shivani Tripathi; Priyadarshni; Rajiv Misra; T. N. Singh (Future Gener. Comput. Syst., 2025)

Granite porosity prediction under varied thermal conditions using machine learning models. - Rishabh Dwivedi; Balbir Prasad; P. K. Gautam; Peeyush Garg; Siddhartha Agarwal; K. H. Singh; T. N. Singh (Earth Sci. Informatics, 2025)