Imtiaz Ahmed

Orcid: 0000-0003-1577-7384

Affiliations:
  • Texas A&M University, Department of Industrial and Systems Engineering, College Station, TX, USA
  • West Virginia University, Department of Industrial and Management Systems Engineering, Morgantown, WV, USA


According to our database1, Imtiaz Ahmed authored at least 23 papers between 2015 and 2024.

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

Timeline

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Bibliography

2024
Binary Gaussian Copula Synthesis: A Novel Data Augmentation Technique to Advance ML-based Clinical Decision Support Systems for Early Prediction of Dialysis Among CKD Patients.
CoRR, 2024

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

2023
A CNN-LSTM Architecture for Marine Vessel Track Association Using Automatic Identification System (AIS) Data.
Sensors, July, 2023

An unsupervised approach towards promptable defect segmentation in laser-based additive manufacturing by Segment Anything.
CoRR, 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

ML Algorithm Synthesizing Domain Knowledge for Fungal Spores Concentration Prediction.
CoRR, 2023

Identification of the Factors Affecting the Reduction of Energy Consumption and Cost in Buildings Using Data Mining Techniques.
CoRR, 2023

A Data Driven Sequential Learning Framework to Accelerate and Optimize Multi-Objective Manufacturing Decisions.
CoRR, 2023

Chatbots and ChatGPT: A Bibliometric Analysis and Systematic Review of Publications in Web of Science and Scopus Databases.
CoRR, 2023

Multi model LSTM architecture for Track Association based on Automatic Identification System Data.
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
A Spatio-Temporal Track Association Algorithm Based on Marine Vessel Automatic Identification System Data.
IEEE Trans. Intell. Transp. Syst., 2022

Graph Regularized Autoencoder and its Application in Unsupervised Anomaly Detection.
IEEE Trans. Pattern Anal. Mach. Intell., 2022

2021
Neighborhood Structure Assisted Non-negative Matrix Factorization and Its Application in Unsupervised Point-wise Anomaly Detection.
J. Mach. Learn. Res., 2021

Towards Futuristic Autonomous Experimentation-A Surprise-Reacting Sequential Experiment Policy.
CoRR, 2021

2020
Neighborhood Structure Assisted Non-negative Matrix Factorization and its Application in Unsupervised Point Anomaly Detection.
CoRR, 2020

2019
Unsupervised Anomaly Detection Based on Minimum Spanning Tree Approximated Distance Measures and its Application to Hydropower Turbines.
IEEE Trans Autom. Sci. Eng., 2019

O-LoMST: An Online Anomaly Detection Approach And Its Application In A Hydropower Generation Plant.
Proceedings of the 15th IEEE International Conference on Automation Science and Engineering, 2019

2018
Outlier Detection for Hydropower Generation Plant.
Proceedings of the 14th IEEE International Conference on Automation Science and Engineering, 2018

2015
An integrated approach for multiple criteria supplier selection combining Fuzzy Delphi, Fuzzy AHP & Fuzzy TOPSIS.
J. Intell. Fuzzy Syst., 2015


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