S. Dey - Publications, H-index & Citations

S. Dey

national institute of technology (nit system)

15H指数

35论文数

589被引数

收录论文 13

发表时间

VexIR2Vec: An Architecture-Neutral Embedding Framework for Binary Similarity VexIR2Vec：一种架构无关的二进制相似性嵌入框架

ACM Transactions on Software Engineering and Methodology

IF6.2

2025-10-04

PREAI

S. VenkataKeerthy; Soumya Banerjee; Sayan Dey; Yashas Andaluri; Raghul P. S.; Subrahmanyam Kalyanasundaram; Fernando Magno Quintão Pereira; Ramakrishna Upadrasta

On exploiting nonparametric kernel-based probabilistic machine learning over the large compositional space of high entropy alloys for optimal nanoscale ballistics

SCIENTIFIC REPORTS

IF3.9

2024-07-22

OAAI

Gupta, K. K.; Barman, S.; Dey, S.; Naskar, S.; Mukhopadhyay, T.

Explainable machine learning assisted molecular-level insights for enhanced specific stiffness exploiting the large compositional space of AlCoCrFeNi high entropy alloys

MACHINE LEARNING-SCIENCE AND TECHNOLOGY

IF4.6

2024-07-01

OAAI

Gupta, K. K.; Barman, S.; Dey, S.; Mukhopadhyay, T.

Probing the molecular-level energy absorption mechanism and strategic sequencing of graphene/Al composite laminates under high-velocity ballistic impact of nano-projectiles

APPLIED SURFACE SCIENCE

IF6.9

2023-08-01

OAAI

Gupta, K. K.; Mukhopadhyay, T.; Dey, S.

On machine learning assisted data-driven bridging of FSDT and HOZT for high-fidelity uncertainty quantification of laminated composite and sandwich plates

COMPOSITE STRUCTURES

IF7.1

2023-01-01

OAAI

Mukhopadhyay, T.; Naskar, S.; Dey, S.; Dey, S.

Probability-based unified sensitivity analysis for multi-objective performances of composite laminates: A surrogate-assisted approach

COMPOSITE STRUCTURES

IF7.1

2022-08-01

PREAI

Kushari, S.; Mukhopadhyay, T.; Chakraborty, A.; Maity, S. R.; Dey, S.

Probing the stochastic fracture behavior of twisted bilayer graphene: Efficient ANN based molecular dynamics simulations for complete probabilistic characterization

MATERIALS TODAY COMMUNICATIONS

IF4.5

2022-08-01

PREAI

Gupta, K. K.; Roy, A.; Mukhopadhyay, T.; Roy, L.; Dey, S.

Sparse machine learning assisted deep computational insights on the mechanical properties of graphene with intrinsic defects and doping

JOURNAL OF PHYSICS AND CHEMISTRY OF SOLIDS

IF4.9

2021-08-01

PREAI

Gupta, K. K.; Mukhopadhyay, T.; Roy, A.; Roy, L.; Dey, S.

Probing the multi-physical probabilistic dynamics of a novel functional class of hybrid composite shells

COMPOSITE STRUCTURES

IF7.1

2021-04-01

PREAI

Vaishali; Mukhopadhyay, T.; Kumar, R. R.; Dey, S.

Compound influence of topological defects and heteroatomic inclusions on the mechanical properties of SWCNTs

MATERIALS TODAY COMMUNICATIONS

IF4.5

2021-03-01

PREAI

Roy, A.; Gupta, K. K.; Naskar, S.; Mukhopadhyay, T.; Dey, S.

Stochastic Oblique Impact on Composite Laminates: A Concise Review and Characterization of the Essence of Hybrid Machine Learning Algorithms

ARCHIVES OF COMPUTATIONAL METHODS IN ENGINEERING

IF12.1

2020-08-27

PREAI

Mukhopadhyay, T.; Naskar, S.; Chakraborty, S.; Karsh, P. K.; Choudhury, R.; Dey, S.

Machine learning based stochastic dynamic analysis of functionally graded shells

COMPOSITE STRUCTURES

IF7.1

2020-04-01

PREAI

Vaishali; Mukhopadhyay, T.; Karsh, P. K.; Basu, B.; Dey, S.

On quantifying the effect of noise in surrogate based stochastic free vibration analysis of laminated composite shallow shells

COMPOSITE STRUCTURES

IF7.1

2016-04-01

OAAI

Mukhopadhyay, T.; Naskar, S.; Dey, S.; Adhikari, S.

研究方向