T. N. Singh

25 papers B 8Journal 17
YearRankTypeTitle / Venue / Authors
2026 J jnl
Anomaly-aware quantum convolutional neural network for carbon-efficient job arrival rate prediction in cloud computing.
Future Gener. Comput. Syst.
Shivani Tripathi, Rajiv Misra, T. N. Singh
2026 J jnl
Exploring Spatiotemporal Relational Learning With TimeSformer for Identifying the Severity of the Road Accidents.
IEEE Trans. Comput. Soc. Syst.
Vaneet Kour, Sudhir Kumar, Teja Vardhan Reddy, Kshitij Poojary, Rajiv Misra, T. N. Singh
2026 J jnl
Interpretable machine learning for quantifying the weathering index of mafic and ultramafic rocks using SHAP and PDPE.
Earth Sci. Informatics
Arijit Sahoo, Amit Kumar Verma, Md Shayan Sabri, T. N. Singh
2025 J jnl
GQAT-Net: A Calibrated Attention Model for Failure Prediction in Large-Scale Distributed Systems.
J. Grid Comput.
Shivani Tripathi, Priyadarshni Gupta, Rajiv Misra, T. N. Singh
2025 J jnl
Granite porosity prediction under varied thermal conditions using machine learning models.
Earth Sci. Informatics
Rishabh Dwivedi, Balbir Prasad, P. K. Gautam, Peeyush Garg, Siddhartha Agarwal, K. H. Singh, T. N. Singh
2025 J jnl
Multilayer multivariate forecasting network for precise resource utilization prediction in edge data centers.
Future Gener. Comput. Syst.
Shivani Tripathi, Priyadarshni, Rajiv Misra, T. N. Singh
2025 B conf
Neuro-Symbolic Ensemble Architecture (NSEA) for Adaptive Workload Prediction in Containerized Cloud Environments.
IEEE Big Data
Shivani Tripathi, Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Rajiv Misra, T. N. Singh
2025 J jnl
Optimized resource management in containerized clouds via Hierarchical Autoregressive Network based workload prediction.
Appl. Soft Comput.
Shivani Tripathi, Angelina Shibu, Priyadarshni, Rajiv Misra, T. N. Singh
2025 J jnl
Optimizing Air Pollution Forecasting Models Through Knowledge Distillation: A Novel GCN and TRANS_GRU Methodology for Indian Cities.
IEEE Access
Sudhir Kumar, Vaneet Kour, Ankit Raj, Tagru Tapung, Shivendu Mishra, Rajiv Misra, T. N. Singh
2025 B conf
Predicting Cloud Workload Job Arrival Rates Using a Diffusion Autoformer Model.
IEEE Big Data
Shiom Kumar, Manoj K. Chauhan, Priyadarshni, Shivani Tripathi, Rajiv Misra, T. N. Singh
2024 B conf
Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies.
IEEE Big Data
Vaneet Kour, Sudhir Kumar, Rajiv Misra, T. N. Singh
2024 B conf
Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks.
IEEE Big Data
Anil Verma, Lalit Chandra Routhu, Rishikant Chigrupaatii, Anurag Choubey, Rajiv Misra, T. N. Singh
2024 B conf
Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks.
IEEE Big Data
Shivani Tripathi, Praveen Kumar, Mailram Sai Chaitanya, Nagireddy Sai Tarun Teja, Rajiv Misra, T. N. Singh
2024 J jnl
Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope.
IEEE Internet Things J.
Sudarshan Nandy, Mainak Adhikari, Arunava Ray, Rajesh Rai, T. N. Singh
2024 B conf
Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers.
IEEE Big Data
Anil Verma, Sumit Kumar Singh, Rupesh Kumar Sah, Rajiv Misra, T. N. Singh
2023 B conf
Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM.
IEEE Big Data
Anil Verma, Harshit Dhankhar, Rajiv Misra, T. N. Singh, Om Prakash Dhakal
2023 J jnl
Machine learning algorithm for the shear strength prediction of basalt-driven lateritic soil.
Earth Sci. Informatics
Anurag Niyogi, Tariq Anwar Ansari, Sumanta Kumar Sathapathy, Kripamoy Sarkar, T. N. Singh
2023 B conf
Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing.
IEEE Big Data
Shivani Tripathi, Praveen Kumar, Priyadarshni Gupta, Rajiv Misra, T. N. Singh
2019 J jnl
Development of novel methods to predict the strength properties of thermally treated sandstone using statistical and soft-computing approach.
Neural Comput. Appl.
Nikhil Ninad Sirdesai, Alok Singh, Lakshmi Kant Sharma, Rajesh Singh, T. N. Singh
2018 J jnl
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples.
Eng. Comput.
Manoj Khandelwal, Aminaton Marto, Seyed Alireza Fatemi, Mahyar Ghoroqi, Danial Jahed Armaghani, T. N. Singh, Omid Tabrizi
2018 J jnl
Regression-based models for the prediction of unconfined compressive strength of artificially structured soil.
Eng. Comput.
L. K. Sharma, T. N. Singh
2017 J jnl
Evaluating the modulus of elasticity of soil using soft computing system.
Eng. Comput.
L. K. Sharma, Rajesh Singh, R. K. Umrao, K. M. Sharma, T. N. Singh
2017 J jnl
Indirect estimation of compressive and shear strength from simple index tests.
Eng. Comput.
P. K. Singh, Ashutosh Tripathy, Ashutosh Kainthola, Bankim Mahanta, Vinay Singh, T. N. Singh
2013 J jnl
A comparative study of generalized regression neural network approach and adaptive neuro-fuzzy inference systems for prediction of unconfined compressive strength of rocks.
Neural Comput. Appl.
Rajesh Singh, V. Vishal, T. N. Singh, P. G. Ranjith
2012 J jnl
Estimation of elastic constant of rocks using an ANFIS approach.
Appl. Soft Comput.
Rajesh Singh, Ashutosh Kainthola, T. N. Singh