Ahmed Shoyeb Raihan

Orcid: 0009-0005-4016-2666

According to our database1, Ahmed Shoyeb Raihan authored at least 15 papers between 2022 and 2025.

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

Timeline

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Bibliography

2025
Examining the role of soft dimensions on the implementation of ISO 14000 environmental management systems: a graph-theoretic approach.
Ann. Oper. Res., May, 2025

Confidence Adjusted Surprise Measure for Active Resourceful Trials (CA-SMART): A Data-driven Active Learning Framework for Accelerating Material Discovery under Resource Constraints.
CoRR, March, 2025

LNUCB-TA: Linear-nonlinear Hybrid Bandit Learning with Temporal Attention.
CoRR, March, 2025

2024
A data driven sequential learning framework to accelerate and optimize multi-objective manufacturing decisions.
J. Intell. Manuf., December, 2024

Chatbots and ChatGPT: a bibliometric analysis and systematic review of publications in Web of Science and Scopus databases.
Int. J. Data Min. Model. Manag., 2024

In-Situ Melt Pool Characterization via Thermal Imaging for Defect Detection in Directed Energy Deposition Using Vision Transformers.
CoRR, 2024

A Data-Efficient Sequential Learning Framework for Melt Pool Defect Classification in Laser Powder Bed Fusion.
CoRR, 2024

A Comprehensive Approach to Carbon Dioxide Emission Analysis in High Human Development Index Countries using Statistical and Machine Learning Techniques.
CoRR, 2024

An Augmented Surprise-guided Sequential Learning Framework for Predicting the Melt Pool Geometry.
CoRR, 2024

2023
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization.
CoRR, 2023

Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production.
CoRR, 2023

Winning through Collaboration by Applying Federated Learning in Manufacturing Industry.
CoRR, 2023

Guiding the Sequential Experiments in Autonomous Experimentation Platforms through EI-based Bayesian Optimization and Bayesian Model Averaging.
CoRR, 2023

A Bi-LSTM Autoencoder Framework for Anomaly Detection - A Case Study of a Wind Power Dataset.
Proceedings of the 19th IEEE International Conference on Automation Science and Engineering, 2023

2022
Integrated Model for Soft Drink Industry Supply Chain Risk Assessment: Implications for Sustainability in Emerging Economies.
Int. J. Fuzzy Syst., 2022


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