SenSlide: a sensor network based landslide prediction aystem. - Anmol Sheth; Kalyan Tejaswi; Prakshep Mehta; Chandresh Parekh; Rajul Bansal; Shabbir N. Merchant; Trilok Nath Singh; Uday B. Desai; Chandramohan A. Thekkath; K. Toyama (SenSys, 2005)

Senslide: a distributed landslide prediction system. - Anmol Sheth; Chandramohan A. Thekkath; Prakshep Mehta; Kalyan Tejaswi; Chandresh Parekh; Trilok Nath Singh; Uday B. Desai (ACM SIGOPS Oper. Syst. Rev., 2007)

Intelligent systems for ground vibration measurement: a comparative study. - Amit Kumar Verma; Trilok Nath Singh (Eng. Comput., 2011)

Estimation of elastic constant of rocks using an ANFIS approach. - Rajesh Singh; Ashutosh Kainthola; T. N. Singh 001 (Appl. Soft Comput., 2012)

Comparative analysis of intelligent algorithms to correlate strength and petrographic properties of some schistose rocks. - Trilok Nath Singh; Amit Kumar Verma (Eng. 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 001; P. G. Ranjith (Neural Comput. Appl., 2013)

A neuro-fuzzy approach for prediction of longitudinal wave velocity. - Amit Kumar Verma; Trilok Nath Singh (Neural Comput. Appl., 2013)

Comparative study of cognitive systems for ground vibration measurements. - Amit Kumar Verma; Trilok Nath Singh (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 001 (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 001 (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 001; 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 001 (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 001 (Neural Comput. Appl., 2019)

Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models. - Ujjwal Sur; Prafull Singh; Sansar Raj Meena; Trilok Nath Singh (Remote. Sens., 2022)

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 001 (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 001; 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 001 (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 001 (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 001 (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 001 (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 001 (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 001 (IEEE Internet Things J., 2024)

Predicting Cloud Workload Job Arrival Rates Using a Diffusion Autoformer Model. - Shiom Kumar; Manoj K. Chauhan; Priyadarshni; Shivani Tripathi; Rajiv Misra; T. N. Singh 001 (IEEE Big Data, 2025)

Neuro-Symbolic Ensemble Architecture (NSEA) for Adaptive Workload Prediction in Containerized Cloud Environments. - Shivani Tripathi; Shiom Kumar; Manoj K. Chauhan; Priyadarshni; Rajiv Misra; T. N. Singh 001 (IEEE Big Data, 2025)

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 001 (IEEE Access, 2025)

Optimized resource management in containerized clouds via Hierarchical Autoregressive Network based workload prediction. - Shivani Tripathi; Angelina Shibu; Priyadarshni; Rajiv Misra; T. N. Singh 001 (Appl. Soft Comput., 2025)

Multilayer multivariate forecasting network for precise resource utilization prediction in edge data centers. - Shivani Tripathi; Priyadarshni; Rajiv Misra; T. N. Singh 001 (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 001 (Earth Sci. Informatics, 2025)

GQAT-Net: A Calibrated Attention Model for Failure Prediction in Large-Scale Distributed Systems. - Shivani Tripathi; Priyadarshni Gupta; Rajiv Misra; T. N. Singh 001 (J. Grid Comput., 2025)

Anomaly-aware quantum convolutional neural network for carbon-efficient job arrival rate prediction in cloud computing. - Shivani Tripathi; Rajiv Misra; T. N. Singh 001 (Future Gener. Comput. Syst., 2026)

Exploring Spatiotemporal Relational Learning With TimeSformer for Identifying the Severity of the Road Accidents. - Vaneet Kour; Sudhir Kumar; Teja Vardhan Reddy; Kshitij Poojary; Rajiv Misra; T. N. Singh 001 (IEEE Trans. Comput. Soc. Syst., 2026)

Interpretable machine learning for quantifying the weathering index of mafic and ultramafic rocks using SHAP and PDPE. - Arijit Sahoo; Amit Kumar Verma; Md Shayan Sabri; T. N. Singh 001 (Earth Sci. Informatics, 2026)

One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging. - Baban Gain; Asif Ekbal; Trilok Nath Singh (CoRR, 2026)

Bridging the linguistic divide: a survey on leveraging large language models for machine translation. - Baban Gain; Dibyanayan Bandyopadhyay; Asif Ekbal; Trilok Nath Singh (Lang. Resour. Evaluation, 2026)