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Effects of building orientation and heat treatment on fatigue behavior of selective laser melted 17-4 PH stainless steel

International journal of fatigue, 2017-01, Vol.94, p.218-235

2017

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An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

Additive manufacturing, 2015-10, Vol.8, p.12-35

2015

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An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics

Additive manufacturing, 2015-10, Vol.8, p.36-62

2015

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Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model

Reliability engineering & system safety, 2019-06, Vol.186, p.88-100

2019

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Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation

IEEE transactions on automation science and engineering, 2017-04, Vol.14 (2), p.1211-1224

2017

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Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing

Journal of manufacturing science and engineering, 2019-08, Vol.141 (8)

2019

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Laser-Based Additive Manufacturing of Metal Parts: Modeling, Optimization, and Control of Mechanical Properties

1st edition., 2018

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A modified Ant Colony Optimization algorithm to solve a dynamic traveling salesman problem: A case study with drones for wildlife surveillance

Journal of Computational Design and Engineering , 2019, 6(3), , pp.368-386

2019

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Botnet detection using graph-based feature clustering

Journal of big data, 2017-05, Vol.4 (1), p.1-23, Article 14

2017

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Thermal-porosity characterization data of additively manufactured Ti–6Al–4V thin-walled structure via laser engineered net shaping

Data in brief, 2023-12, Vol.51, p.109722-109722, Article 109722

2023

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Deep Learning for Distortion Prediction in Laser-Based Additive Manufacturing using Big Data

Manufacturing letters, 2019-04, Vol.20, p.10-14

2019

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DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool

IEEE access, 2021, Vol.9, p.115100-115114

2021

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Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

IEEE access, 2023, Vol.11, p.41741-41769

2023

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Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network

Energies (Basel), 2018, Vol.11 (7), p.1682

2018

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In Situ Nondestructive Fatigue‐Life Prediction of Additive Manufactured Parts by Establishing a Process–Defect–Property Relationship

Advanced intelligent systems, 2021-12, Vol.3 (12), p.n/a

2021

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Similarity-based Multi-source Transfer Learning Approach for Time Series Classification

International journal of prognostics and health management, 2022-10, Vol.13 (2)

2022

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Preoperative Prediction and Identification of Extracapsular Extension in Head and Neck Cancer Patients: Progress and Potential

Curēus (Palo Alto, CA), 2023-02

2023

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Stochastic framework for partially degradation systems with continuous component degradation-rate-interactions

Naval research logistics, 2014-06, Vol.61 (4), p.286-303

2014

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Drones for disaster response and relief operations: A continuous approximation model

International journal of production economics, 2017-06, Vol.188, p.167-184

2017

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Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults

IIE transactions, 2020-11, Vol.52 (11), p.1204-1217

2020

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Drone routing and optimization for post-disaster inspection

Computers & industrial engineering, 2021-09, Vol.159, p.107495, Article 107495

2021

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Porosity prediction: Supervised-learning of thermal history for direct laser deposition

Journal of manufacturing systems, 2018-04, Vol.47, p.69-82

2018

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Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes

Journal of manufacturing science and engineering, 2023-05, Vol.145 (5)

2023

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Mechanical Properties and Microstructural Features of Direct Laser-Deposited Ti-6Al-4V

JOM (1989), 2015-03, Vol.67 (3), p.629-638

2015

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In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

IIE transactions, 2019-05, Vol.51 (5), p.437-455

2019

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Effects of building orientation and heat treatment on fatigue behavior of selective laser melted 17-4 PH stainless steel

An overview of Direct Laser Deposition for additive manufacturing; Part II: Mechanical behavior, process parameter optimization and control

An overview of Direct Laser Deposition for additive manufacturing; Part I: Transport phenomena, modeling and diagnostics

Remaining useful life prediction of machinery under time-varying operating conditions based on a two-factor state-space model

Residual Life Prediction of Multistage Manufacturing Processes With Interaction Between Tool Wear and Product Quality Degradation

Layer-Wise Modeling and Anomaly Detection for Laser-Based Additive Manufacturing

Laser-Based Additive Manufacturing of Metal Parts: Modeling, Optimization, and Control of Mechanical Properties

A modified Ant Colony Optimization algorithm to solve a dynamic traveling salesman problem: A case study with drones for wildlife surveillance

Botnet detection using graph-based feature clustering

Thermal-porosity characterization data of additively manufactured Ti–6Al–4V thin-walled structure via laser engineered net shaping

Deep Learning for Distortion Prediction in Laser-Based Additive Manufacturing using Big Data

DLAM: Deep Learning Based Real-Time Porosity Prediction for Additive Manufacturing Using Thermal Images of the Melt Pool

Scalability, Explainability and Performance of Data-Driven Algorithms in Predicting the Remaining Useful Life: A Comprehensive Review

Designing a Reliable and Congested Multi-Modal Facility Location Problem for Biofuel Supply Chain Network

In Situ Nondestructive Fatigue‐Life Prediction of Additive Manufactured Parts by Establishing a Process–Defect–Property Relationship

Similarity-based Multi-source Transfer Learning Approach for Time Series Classification

Preoperative Prediction and Identification of Extracapsular Extension in Head and Neck Cancer Patients: Progress and Potential

Stochastic framework for partially degradation systems with continuous component degradation-rate-interactions

Drones for disaster response and relief operations: A continuous approximation model

Toward the digital twin of additive manufacturing: Integrating thermal simulations, sensing, and analytics to detect process faults

Drone routing and optimization for post-disaster inspection

Porosity prediction: Supervised-learning of thermal history for direct laser deposition

Design De-Identification of Thermal History for Collaborative Process-Defect Modeling of Directed Energy Deposition Processes

Mechanical Properties and Microstructural Features of Direct Laser-Deposited Ti-6Al-4V

In-situ monitoring of melt pool images for porosity prediction in directed energy deposition processes

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