Hussain Mohammed Dipu Kabir

Orcid: 0000-0002-3395-1772

According to our database1, Hussain Mohammed Dipu Kabir authored at least 32 papers between 2010 and 2023.

Collaborative distances:
  • Dijkstra number2 of four.
  • Erdős number3 of four.

Timeline

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Bibliography

2023
SpinalNet: Deep Neural Network With Gradual Input.
IEEE Trans. Artif. Intell., October, 2023

Machine translation and its evaluation: a study.
Artif. Intell. Rev., September, 2023

Swarm Intelligence in Internet of Medical Things: A Review.
Sensors, February, 2023

Uncertainty Aware Neural Network from Similarity and Sensitivity.
CoRR, 2023

2022
Kubernetes in IT administration and serverless computing: An empirical study and research challenges.
J. Supercomput., 2022

Uncertainty-aware Decisions in Cloud Computing: Foundations and Future Directions.
ACM Comput. Surv., 2022

Resource allocation optimization using artificial intelligence methods in various computing paradigms: A Review.
CoRR, 2022

Aleatory-aware deep uncertainty quantification for transfer learning.
Comput. Biol. Medicine, 2022

CoV-TI-Net: Transferred Initialization with Modified End Layer for COVID-19 Diagnosis.
Proceedings of the IEEE International Conference on Systems, Man, and Cybernetics, 2022

2021
Neural Network Training for Uncertainty Quantification Over Time-Range.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Partial Adversarial Training for Neural Network-Based Uncertainty Quantification.
IEEE Trans. Emerg. Top. Comput. Intell., 2021

Optimal uncertainty-guided neural network training.
Appl. Soft Comput., 2021

A Comprehensive Study on Torchvision Pre-trained Models for Fine-grained Inter-species Classification.
Proceedings of the 2021 IEEE International Conference on Systems, Man, and Cybernetics, 2021

Uncertainty Quantification for the Required Fossil Fuel Generation in a Smart Grid.
Proceedings of the International Joint Conference on Neural Networks, 2021

2020
Autonomous Navigation via Deep Imitation and Transfer Learning: A Comparative Study.
Proceedings of the 2020 IEEE International Conference on Systems, Man, and Cybernetics, 2020

Boosting UI Rendering in Android Applications.
Proceedings of the 20th IEEE International Conference on Software Quality, 2020

Uncertainty Quantification Neural Network from Similarity and Sensitivity.
Proceedings of the 2020 International Joint Conference on Neural Networks, 2020

2019
Polycrystalline transistor with multiple thresholds.
Microelectron. J., 2019

Generalized Noise Patterns for (N+1)/N-factor Non-linear Down-sampling.
Proceedings of the 2019 IEEE International Conference on Systems, Man and Cybernetics, 2019

Evaluating Architecture Impacts on Deep Imitation Learning Performance for Autonomous Driving.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

A Cloud Bidding Framework for Deadline Constrained Jobs.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Probability Density for Amazon Spot Instance Price.
Proceedings of the IEEE International Conference on Industrial Technology, 2019

Probability Density Computation Neural Network for Time Series Data.
Proceedings of the 2019 IEEE International Conference on Cloud Computing Technology and Science (CloudCom), 2019

2018
Neural Network-Based Uncertainty Quantification: A Survey of Methodologies and Applications.
IEEE Access, 2018

Partial Adversarial Training for Prediction Interval.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Weighted Autocorrelation based Prediction Interval Optimization for Wind Power Generation.
Proceedings of the 2018 International Joint Conference on Neural Networks, 2018

Deep Imitation Learning: The Impact of Depth on Policy Performance.
Proceedings of the Neural Information Processing - 25th International Conference, 2018

2017
A frequency multiplier using three ambipolar graphene transistors.
Microelectron. J., 2017

A Resilient Auction Framework for Deadline-Aware Jobs in Cloud Spot Market.
Proceedings of the 36th IEEE Symposium on Reliable Distributed Systems, 2017

Prediction interval with examples of similar pattern and prediction strength.
Proceedings of the 30th IEEE Canadian Conference on Electrical and Computer Engineering, 2017

2010
Non-linear Down-sampling and Signal Reconstruction, without Folding.
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010

A Theory of Loss-less Compression of High Quality Speech Signals with Comparison.
Proceedings of the Fourth UKSim European Symposium on Computer Modeling and Simulation, 2010


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