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Siddharth Misra

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2020 – today

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2024
[j12]
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Rambabu Kalathiripi, K. Saravanan, Siddharth Misra, Sandip Ramesh Patil, M. Srinivasa Rao, Nilamadhab Mishra, Niraj C. Chaudhari:
Internet of Things Driven Rule Based Management Model for Heterogeneous Environment. SN Comput. Sci. 5(5): 565 (2024)
2023
[j11]
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Yuteng Jin, Siddharth Misra:
Controlling fracture propagation using deep reinforcement learning. Eng. Appl. Artif. Intell. 122: 106075 (2023)
[j10]
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Gowtham Ramkumar, Siddharth Misra, Gadde Raghu Babu, Anantha Rao Gottimukkala, Someshwar Siddi, Jyothula Sunil Kumar:
Optimization of Flexible Manufacturing Production Line System Based on Digital Twin. SN Comput. Sci. 4(5): 563 (2023)
2022
[j9]
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Yuteng Jin, Siddharth Misra:
Controlling mixed-mode fatigue crack growth using deep reinforcement learning. Appl. Soft Comput. 127: 109382 (2022)
[j8]
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Keyla Gonzalez, Siddharth Misra:
Unsupervised learning monitors the carbon-dioxide plume in the subsurface carbon storage reservoir. Expert Syst. Appl. 201: 117216 (2022)
2021
[j7]
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Hao Li, Siddharth Misra:
Robust machine-learning workflow for subsurface geomechanical characterization and comparison against popular empirical correlations. Expert Syst. Appl. 177: 114942 (2021)
2020
[j6]
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  - journals/ijissc/MisraNPI20
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Siddharth Misra, Udit Narayan, Vivek Bhushan Pramanik, Prema Sundara Iyengar:
Buyback of Shares and Its Signaling Theory: Decision Making Using RIDIT Analysis. Int. J. Inf. Syst. Soc. Chang. 11(2): 14-23 (2020)
[j5]
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Siddharth Misra, Vishal Kashyap, Poonacha K. B., Arjun Mukund, Parameshwar H. S.:
CryptoCurrency: A Black and White Analysis. Int. J. Inf. Syst. Soc. Chang. 11(2): 24-40 (2020)
[j4]
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  - journals/lgrs/WuM20
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Yaokun Wu, Siddharth Misra:
Intelligent Image Segmentation for Organic-Rich Shales Using Random Forest, Wavelet Transform, and Hessian Matrix. IEEE Geosci. Remote. Sens. Lett. 17(7): 1144-1147 (2020)
[j3]
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Hao Li, Siddharth Misra, Jiabo He:
Neural network modeling of in situ fluid-filled pore size distributions in subsurface shale reservoirs under data constraints. Neural Comput. Appl. 32(8): 3873-3885 (2020)

2010 – 2019

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2019
[j2]
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  - journals/lgrs/LiM19
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Hao Li, Siddharth Misra:
Long Short-Term Memory and Variational Autoencoder With Convolutional Neural Networks for Generating NMR T2 Distributions. IEEE Geosci. Remote. Sens. Lett. 16(2): 192-195 (2019)
2017
[j1]
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Hao Li, Siddharth Misra:
Prediction of Subsurface NMR T2 Distributions in a Shale Petroleum System Using Variational Autoencoder-Based Neural Networks. IEEE Geosci. Remote. Sens. Lett. 14(12): 2395-2397 (2017)

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