T. N. Singh
Orcid: 0000-0003-0067-8703Affiliations:
- Indian Institute of Technology Patna, Department of Civil and Environmental Engineering, India
According to our database1,
T. N. Singh authored at least 34 papers
between 2005 and 2026.
Collaborative distances:
Collaborative distances:
Timeline
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Online presence:
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on iitp.ac.in
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on orcid.org
On csauthors.net:
Bibliography
2026
Bridging the linguistic divide: a survey on leveraging large language models for machine translation.
Lang. Resour. Evaluation, June, 2026
One Model to Translate Them All? A Journey to Mount Doom for Multilingual Model Merging.
CoRR, April, 2026
Interpretable machine learning for quantifying the weathering index of mafic and ultramafic rocks using SHAP and PDPE.
Earth Sci. Informatics, March, 2026
Exploring Spatiotemporal Relational Learning With TimeSformer for Identifying the Severity of the Road Accidents.
IEEE Trans. Comput. Soc. Syst., February, 2026
Anomaly-aware quantum convolutional neural network for carbon-efficient job arrival rate prediction in cloud computing.
Future Gener. Comput. Syst., 2026
2025
GQAT-Net: A Calibrated Attention Model for Failure Prediction in Large-Scale Distributed Systems.
J. Grid Comput., December, 2025
Granite porosity prediction under varied thermal conditions using machine learning models.
Earth Sci. Informatics, February, 2025
Multilayer multivariate forecasting network for precise resource utilization prediction in edge data centers.
Future Gener. Comput. Syst., 2025
Optimized resource management in containerized clouds via Hierarchical Autoregressive Network based workload prediction.
Appl. Soft Comput., 2025
Optimizing Air Pollution Forecasting Models Through Knowledge Distillation: A Novel GCN and TRANS_GRU Methodology for Indian Cities.
IEEE Access, 2025
Neuro-Symbolic Ensemble Architecture (NSEA) for Adaptive Workload Prediction in Containerized Cloud Environments.
Proceedings of the IEEE International Conference on Big Data, 2025
Proceedings of the IEEE International Conference on Big Data, 2025
2024
Edge-Centric Intelligent Early Warning System for Residual Soil Stability Prediction in Slope.
IEEE Internet Things J., February, 2024
Dueling Double DQN with Attention for Optimized Offloading in Wireless-Powered Edge-Enabled Mobile Computing Networks.
Proceedings of the IEEE International Conference on Big Data, 2024
Advancing PM2.5 and NO2 Prediction Accuracy through the ConvTrans Model: A Novel Application of Hybrid Deep Learning Technologies.
Proceedings of the IEEE International Conference on Big Data, 2024
Performance Comparison of Deep Learning Models for CO2 Prediction: Analyzing Carbon Footprint with Advanced Trackers.
Proceedings of the IEEE International Conference on Big Data, 2024
Big Data-Driven Long Term Accurate CO2 Emission Forecasting Using Advanced Recurrent Neural Networks.
Proceedings of the IEEE International Conference on Big Data, 2024
2023
Machine learning algorithm for the shear strength prediction of basalt-driven lateritic soil.
Earth Sci. Informatics, March, 2023
Analysis and Forecasting of Carbon Emission in SAARC Countries using Attention-based LSTM.
Proceedings of the IEEE International Conference on Big Data, 2023
Workload Shifting Based on Low Carbon Intensity Periods: A Framework for Reducing Carbon Emissions in Cloud Computing.
Proceedings of the IEEE International Conference on Big Data, 2023
2022
Predicting Landslides Susceptible Zones in the Lesser Himalayas by Ensemble of Per Pixel and Object-Based Models.
Remote. Sens., 2022
2019
Development of novel methods to predict the strength properties of thermally treated sandstone using statistical and soft-computing approach.
Neural Comput. Appl., 2019
2018
Regression-based models for the prediction of unconfined compressive strength of artificially structured soil.
Eng. Comput., 2018
Implementing an ANN model optimized by genetic algorithm for estimating cohesion of limestone samples.
Eng. Comput., 2018
2017
Eng. Comput., 2017
Eng. Comput., 2017
2013
Neural Comput. Appl., 2013
Neural Comput. Appl., 2013
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., 2013
2012
Comparative analysis of intelligent algorithms to correlate strength and petrographic properties of some schistose rocks.
Eng. Comput., 2012
Appl. Soft Comput., 2012
2011
Eng. Comput., 2011
2007
ACM SIGOPS Oper. Syst. Rev., 2007
2005
Proceedings of the 3rd International Conference on Embedded Networked Sensor Systems, 2005