Shailesh Tripathi
Orcid: 0000-0002-3484-6368
According to our database1,
Shailesh Tripathi
authored at least 42 papers
between 2006 and 2024.
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Bibliography
2024
Assessing the current landscape of AI and sustainability literature: identifying key trends, addressing gaps and challenges.
J. Big Data, December, 2024
Human Team Behavior and Predictability in the Massively Multiplayer Online Game WOT Blitz.
ACM Trans. Web, February, 2024
Int. J. Prod. Res., February, 2024
Unlocking hidden market segments: A data-driven approach exemplified by the electric vehicle market.
Expert Syst. Appl., 2024
Investigating the optimal number of topics by advanced text-mining techniques: Sustainable energy research.
Eng. Appl. Artif. Intell., 2024
Advanced Scientometric Analysis of Scientific Machine Learning and PINNs: Topic Modeling and Trend Analysis.
IEEE Access, 2024
Comparison of Community Detection Algorithms for Reducing Variant Diversity in Production.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024
Simplifying Data Analysis: A Visualization Framework and Practical Application for Complex BEV Data.
Proceedings of the Advances in Production Management Systems. Production Management Systems for Volatile, Uncertain, Complex, and Ambiguous Environments, 2024
2023
Analytical comparison of cross impact steady state, DEMATEL, and page rank for analyzing complex systems.
Expert Syst. Appl., September, 2023
Analyzing the Scholarly Literature of Digital Twin Research: Trends, Topics and Structure.
IEEE Access, 2023
Exploring the time-lagged causality of process variables from injection molding machines.
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023
Proceedings of the 4th International Conference on Industry 4.0 and Smart Manufacturing (ISM 2023), 2023
2022
Inf. Sci., 2022
Vsimgen: A Proposal for an Interactive Visualization Tool for Simulation of Production Planning and Control Strategies.
Proceedings of the Future Technologies Conference, 2022
Analyzing Cross-impact Matrices for Managerial Decision-making Problems with the DEMATEL Approach.
Proceedings of the 11th International Conference on Data Science, 2022
2021
Ensuring the Robustness and Reliability of Data-Driven Knowledge Discovery Models in Production and Manufacturing.
Frontiers Artif. Intell., 2021
Identifying key interactions between process variables of different material categories using mutual information-based network inference method.
Proceedings of the 3rd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2022), Virtual Event / Upper Austria University of Applied Sciences - Hagenberg Campus, 2021
A Network based Approach for Reducing Variant Diversity in Production Planning and Control.
Proceedings of the 10th International Conference on Data Science, 2021
2020
Frontiers Artif. Intell., 2020
Proceedings of the International Workshop on Cross-Reality (XR) Interaction co-located with 14th ACM International Conference on Interactive Surfaces and Spaces (ACM ISS 2020), 2020
Large scale predictability analysis of process variables from injection molding machines.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020
An adaptive machine learning methodology to determine manufacturing process parameters for each part.
Proceedings of the 2nd International Conference on Industry 4.0 and Smart Manufacturing (ISM 2020), 2020
2019
Towards detecting structural branching and cyclicity in graphs: A polynomial-based approach.
Inf. Sci., 2019
Constrained Covariance Matrices With a Biologically Realistic Structure: Comparison of Methods for Generating High-Dimensional Gaussian Graphical Models.
Frontiers Appl. Math. Stat., 2019
Approaches to Identify Relevant Process Variables in Injection Moulding using Beta Regression and SVM.
Proceedings of the 8th International Conference on Data Science, 2019
2018
Graph measures with high discrimination power revisited: A random polynomial approach.
Inf. Sci., 2018
Optimum Utilization of Resources Through Restricted Virtual Machine Migration and Efficient VM Placement in Cloud Data Center.
Int. J. Distributed Syst. Technol., 2018
Understanding the World Economy in Terms of Networks: A Survey of Data-Based Network Science Approaches on Economic Networks.
Frontiers Appl. Math. Stat., 2018
Linear vs. Symbolic Regression for Adaptive Parameter Setting in Manufacturing Processes.
Proceedings of the Data Management Technologies and Applications, 2018
Proceedings of the 7th International Conference on Data Science, 2018
2017
Inf. Sci., 2017
sgnesR: An R package for simulating gene expression data from an underlying real gene network structure considering delay parameters.
BMC Bioinform., 2017
2016
Comparison of module detection algorithms in protein networks and investigation of the biological meaning of predicted modules.
BMC Bioinform., 2016
samExploreR: exploring reproducibility and robustness of RNA-seq results based on SAM files.
Bioinform., 2016
2014
Bioinform., 2014
2012
Organizational structure and the periphery of the gene regulatory network in B-cell lymphoma.
BMC Syst. Biol., 2012
2006
Proceedings of the Sixth International Conference on Intelligent Systems Design and Applications (ISDA 2006), 2006