Md. Noor-E-Alam

Orcid: 0000-0001-5353-9710

According to our database1, Md. Noor-E-Alam authored at least 26 papers between 2009 and 2024.

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

Timeline

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Bibliography

2024
Computational approaches for solving two-echelon vehicle and UAV routing problems for post-disaster humanitarian operations.
Expert Syst. Appl., March, 2024

Self-help groups and opioid use disorder treatment: An investigation using a machine learning-assisted robust causal inference framework.
Int. J. Medical Informatics, 2024

An explainable machine learning framework for predicting the risk of buprenorphine treatment discontinuation for opioid use disorder among commercially insured individuals.
Comput. Biol. Medicine, 2024

An online dynamic dual bin packing with lookahead approach for server-to-cell assignment in computer server industry.
Comput. Ind. Eng., 2024

2022
Sampling Kaczmarz-Motzkin method for linear feasibility problems: generalization and acceleration.
Math. Program., 2022

A Computational Framework for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference.
INFORMS J. Comput., 2022

Decision-Making Using Big Data Relevant to Sustainable Development Goals (SDGs).
Big Data Cogn. Comput., 2022

2021
A machine learning based two-stage clinical decision support system for predicting patients' discontinuation from opioid use disorder treatment: retrospective observational study.
BMC Medical Informatics Decis. Mak., 2021

Feature Selection for Causal Inference from High Dimensional Observational Data with Outcome Adaptive Elastic Net.
CoRR, 2021

2020
Accelerated sampling Kaczmarz Motzkin algorithm for the linear feasibility problem.
J. Glob. Optim., 2020

Resilient supplier selection in logistics 4.0 with heterogeneous information.
Expert Syst. Appl., 2020

Stochastic Steepest Descent Methods for Linear Systems: Greedy Sampling & Momentum.
CoRR, 2020

Algorithms for Solving Nonlinear Binary Optimization Problems in Robust Causal Inference.
CoRR, 2020

Sketch & Project Methods for Linear Feasibility Problems: Greedy Sampling & Momentum.
CoRR, 2020

Generalized affine scaling algorithms for linear programming problems.
Comput. Oper. Res., 2020

Navigating concave regions in continuous facility location problems.
Comput. Ind. Eng., 2020

2019
Resilient Supplier Selection in Logistic 4.0: An integrated approach of Fuzzy Multi-Attribute Decision Making (F-MADM) and Multi-choice Goal Programming (MCGP) with Heterogeneous.
CoRR, 2019

A column generation algorithm for vehicle scheduling and routing problems.
Comput. Ind. Eng., 2019

2018
A Possibility Distribution Based Multi-Criteria Decision Algorithm for Resilient Supplier Selection Problems.
CoRR, 2018

Big data driven graphical information based fuzzy multi criteria decision making.
Appl. Soft Comput., 2018

2017
A decision model for making decisions under epistemic uncertainty and its application to select materials.
Artif. Intell. Eng. Des. Anal. Manuf., 2017

2012
ILP Model and Relaxation-Based Decomposition Approach for Incremental Topology Optimization in <i>p</i>-Cycle Networks.
J. Comput. Networks Commun., 2012

Integer linear programming models for grid-based light post location problem.
Eur. J. Oper. Res., 2012

Relax-and-fix decomposition technique for solving large scale grid-based location problems.
Comput. Ind. Eng., 2012

2011
Algorithms for fuzzy multi expert multi criteria decision making (ME-MCDM).
Knowl. Based Syst., 2011

2009
Reliability Centered Multi Objective Hybrid Flow Shop Scheduling.
Asia Pac. J. Oper. Res., 2009


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