T. N. Singh
According to our database1,
T. N. Singh
authored at least 18 papers
between 2012 and 2025.
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Bibliography
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
Optimizing Air Pollution Forecasting Models Through Knowledge Distillation: A Novel GCN and TRANS_GRU Methodology for Indian Cities.
IEEE Access, 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
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
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
Appl. Soft Comput., 2012