14 citations · 50 across the 14 of their papers we have counts for
7 papers · 1 filter
Accelerating material discovery with a threshold-driven hybrid acquisition policy-based Bayesian optimization
Ahmed Shoyeb Raihan, Hamed Khosravi, Srinjoy Das +1
Advancements in materials play a crucial role in technological progress. However, the process of discovering and developing materials with desired properties is often impeded by su…
Strategic Data Augmentation with CTGAN for Smart Manufacturing: Enhancing Machine Learning Predictions of Paper Breaks in Pulp-and-Paper Production
Hamed Khosravi, Sarah Farhadpour, Manikanta Grandhi +3
A significant challenge for predictive maintenance in the pulp-and-paper industry is the infrequency of paper breaks during the production process. In this article, operational dat…
A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions
Hamed Khosravi, Taofeeq Olajire, Ahmed Shoyeb Raihan +1
Manufacturing advanced materials and products with a specific property or combination of properties is often warranted. To achieve that it is crucial to find out the optimum recipe…
Chatbots and ChatGPT: A Bibliometric Analysis and Systematic Review of Publications in Web of Science and Scopus Databases
Hamed Khosravi, Mohammad Reza Shafie, Morteza Hajiabadi +2
This paper presents a bibliometric analysis of the scientific literature related to chatbots, focusing specifically on ChatGPT. Chatbots have gained increasing attention recently,…
A Bi-LSTM Autoencoder Framework for Anomaly Detection -- A Case Study of a Wind Power Dataset
Ahmed Shoyeb Raihan, Imtiaz Ahmed
Anomalies refer to data points or events that deviate from normal and homogeneous events, which can include fraudulent activities, network infiltrations, equipment malfunctions, pr…
Guiding the Sequential Experiments in Autonomous Experimentation Platforms through EI-based Bayesian Optimization and Bayesian Model Averaging
Ahmed Shoyeb Raihan, Imtiaz Ahmed
Autonomous Experimentation Platforms (AEPs) are advanced manufacturing platforms that, under intelligent control, can sequentially search the material design space (MDS) and identi…
Applications of Federated Learning in Manufacturing: Identifying the Challenges and Exploring the Future Directions with Industry 4.0 and 5.0 Visions
Farzana Islam, Ahmed Shoyeb Raihan, Imtiaz Ahmed
In manufacturing settings, data collection and analysis are often a time-consuming, challenging, and costly process. It also hinders the use of advanced machine learning and data-d…