DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production | Paper Citation Record

Observation a3b2535d-4751-4a12-8111-70d386a3801f · outbound

This paper cites Exploring and optimizing deep neural networks for precision defect detection system in injection molding process.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Exploring and optimizing deep neural networks for precision defect detection system in injection molding process

Reference 1

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This paper cites A Review on Machine Learning Models in Injection Molding Machines.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A Review on Machine Learning Models in Injection Molding Machines

Reference 2

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This paper cites Modeling and Optimization of the Injection - Molding Process: A Review.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Modeling and Optimization of the Injection - Molding Process: A Review

Reference 3

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This paper cites https://www.goldengatemolders.com/post/breaking-down-the-cost-factors-in-plastic-manufacturing (accessed March 3, 2025).

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production https://www.goldengatemolders.com/post/breaking-down-the-cost-factors-in-plastic-manufacturing (accessed March 3, 2025)

Reference 4

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Observation 7f4d1bb3-56d1-47ce-8c9e-0fc357a975bb · outbound

This paper cites Cost estimation of plastic injection molding parts through integration of PSO and BP neural network.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Cost estimation of plastic injection molding parts through integration of PSO and BP neural network

Reference 5

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DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Unresolved cited work

Reference 6

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Observation 96ce774e-b1bf-4037-b812-1ca50f79bbcb · outbound

This paper cites ENERGY SAVING STRATEGIES FOR PLASTICS INJECTION MOLDING: LUBRICATION ADAM MCMURTREY, EXXONMOBIL, SPRING, TX - Google 검색 n.d.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production ENERGY SAVING STRATEGIES FOR PLASTICS INJECTION MOLDING: LUBRICATION ADAM MCMURTREY, EXXONMOBIL, SPRING, TX - Google 검색 n.d

Reference 7

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Observation 12200b20-9075-42a5-8986-ededac3e7849 · outbound

This paper cites Application of BPN with feature-based models on cost estimation of plastic injection products.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Application of BPN with feature-based models on cost estimation of plastic injection products

Reference 8

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This paper cites Method for the generation of depth images for view-based shape retrieval of 3D CAD model from partial point cloud.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Method for the generation of depth images for view-based shape retrieval of 3D CAD model from partial point cloud

Reference 9

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Observation e77170b2-1be2-44d5-9598-04e457b96966 · outbound

This paper cites https://turnergroup.net/optimizing -an- injection-mold-process/ (accessed March 3, 2025).

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production https://turnergroup.net/optimizing -an- injection-mold-process/ (accessed March 3, 2025)

Reference 10

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Observation 70e6747d-fde4-45c6-ba30-72acb1b82a41 · outbound

This paper cites Recent Methods for Optimization of Plastic Injection Molding Process-A Literature Review.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Recent Methods for Optimization of Plastic Injection Molding Process-A Literature Review

Reference 11

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Observation 35416310-1c72-4537-b367-d0959b6e8d62 · outbound

This paper cites Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Energy Consumption Prediction of Injection Molding Process Based on Rolling Learning Informer Model

Reference 12

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Observation 63923b62-4950-406a-ad60-e02e2ac9a436 · outbound

This paper cites A hybrid optimization approach for intelligent manufacturing in plastic injection molding by using artificial neural network and genetic algorithm.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A hybrid optimization approach for intelligent manufacturing in plastic injection molding by using artificial neural network and genetic algorithm

Reference 13

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Observation f73d497b-0e7f-4f79-b250-7d8ed20474d2 · outbound

This paper cites Plastic Injection Molding Process Analysis: Data Integration and Modeling for Improved Production Efficiency.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Plastic Injection Molding Process Analysis: Data Integration and Modeling for Improved Production Efficiency

Reference 14

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.484475Z

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Observation 67803899-f296-4ede-8ef4-befa0845eb6e · outbound

This paper cites Optimization of injection molding process parameters using integrated artificial neural network model and expected improvement function method.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Optimization of injection molding process parameters using integrated artificial neural network model and expected improvement function method

Reference 15

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Observation 32ba9e3a-c52c-4513-aff7-a4ec6ded1917 · outbound

This paper cites Scenario 1.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Scenario 1

Reference 16

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Observation b5992a9d-6156-4796-b630-27a584b44b92 · outbound

This paper cites Single and multi -objective real- time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Single and multi -objective real- time optimisation of an industrial injection moulding process via a Bayesian adaptive design of experiment approach

Reference 17

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Observation 5d813cd3-ec91-4f68-8e24-3088aed50eb2 · outbound

This paper cites Surrogate modeling for injection molding processes using deep learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Surrogate modeling for injection molding processes using deep learning

Reference 18

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Observation 7ee82f66-6fa1-4c9d-9952-ed02489ad418 · outbound

This paper cites Leveraging the Smart Grid: The Effect of Real-Time Information on Consumer Decisions.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Leveraging the Smart Grid: The Effect of Real-Time Information on Consumer Decisions

Reference 19

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.703012Z

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Observation b5233be2-99b0-46e0-9aa5-be5e2496b119 · outbound

This paper cites Peak and off-peak demand for electricity: Is there a potential for load shifting? Energy Econ 2021;102:105466.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Peak and off-peak demand for electricity: Is there a potential for load shifting? Energy Econ 2021;102:105466

Reference 20

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This paper cites https://home.kepco.co.kr/kepco/EN/F/htmlView/ENFBHP00109.do?menuCd=EN060201 (accessed March 5, 2025).

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production https://home.kepco.co.kr/kepco/EN/F/htmlView/ENFBHP00109.do?menuCd=EN060201 (accessed March 5, 2025)

Reference 21

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.688338Z

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Observation 33fae5d3-e977-4e6b-826f-3944c440f61c · outbound

This paper cites Probabilistic forecasting in day -ahead electricity markets: Simulating peak and off - peak prices.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Probabilistic forecasting in day -ahead electricity markets: Simulating peak and off - peak prices

Reference 22

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Observation bd0413fb-9f45-4301-a085-952cc3e442b3 · outbound

This paper cites Characterizing Energy Consumption of the Injection Molding Process.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Characterizing Energy Consumption of the Injection Molding Process

Reference 23

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.353432Z

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Observation a4de573d-aaa6-4008-84dd-46d379f20fbb · outbound

This paper cites Generative machine learning -based multi -objective process parameter optimization towards energy and quality of injection molding.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Generative machine learning -based multi -objective process parameter optimization towards energy and quality of injection molding

Reference 24

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.385132Z

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Observation 6895858d-d9b4-4716-9ae9-f9c9f454b10b · outbound

This paper cites Dynamic behaviour of different hydraulic drive concepts - comparison and limits.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Dynamic behaviour of different hydraulic drive concepts - comparison and limits

Reference 25

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Observation 85c11c53-6d5b-445b-a378-a0d34b2f8b22 · outbound

This paper cites Characterising energy and eco -efficiency of injection moulding processes.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Characterising energy and eco -efficiency of injection moulding processes

Reference 26

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Observation c9cad56a-cc07-48a7-9aea-6922f39d96a7 · outbound

This paper cites Research on energy consumption of injection molding machine driven by five different types of electro -hydraulic power units.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Research on energy consumption of injection molding machine driven by five different types of electro -hydraulic power units

Reference 27

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Observation 8ee5cb24-4b76-4d25-bbae-7dfb5b22c3e2 · outbound

This paper cites Analysis of Process Parameters affecting Energy Consumption in Plastic Injection Moulding.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Analysis of Process Parameters affecting Energy Consumption in Plastic Injection Moulding

Reference 28

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.337732Z

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Observation e77fc7bc-6f6c-49c7-ab9c-ba35a434abb8 · outbound

This paper cites An experimental study on the application of reinforcement learning in injection molding in the spirit of Industry 4.0.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production An experimental study on the application of reinforcement learning in injection molding in the spirit of Industry 4.0

Reference 29

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.682459Z

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Observation 517006ba-0697-4ef2-879c-792edfbc4109 · outbound

This paper cites Input Profiling for Injection Molding by Reinforcement Learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Input Profiling for Injection Molding by Reinforcement Learning

Reference 30

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.321588Z

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Observation 56a09912-9a34-44d1-976a-f4517ad01897 · outbound

This paper cites Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Reinforcement Learning for Autonomous Process Control in Industry 4.0: Advantages and Challenges

Reference 31

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Observation 6b1326e9-d0ef-4650-8b3a-756c41430284 · outbound

This paper cites Intelligent Temperature Control of a Stretch Blow Molding Machine Using Deep Reinforcement Learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Intelligent Temperature Control of a Stretch Blow Molding Machine Using Deep Reinforcement Learning

Reference 32

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.279952Z

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Observation 35ab3908-0180-4831-aee5-d10c52c63975 · outbound

This paper cites Human -level control through deep reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Human -level control through deep reinforcement learning

Reference 33

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Observation fec0a1d8-5933-42b7-b9d8-d724e9361dc9 · outbound

This paper cites Injection Mold Production Sustainable Scheduling Using Deep Reinforcement Learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Injection Mold Production Sustainable Scheduling Using Deep Reinforcement Learning

Reference 34

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Observation 5a8c504f-9287-4be9-9d4e-0da7458aa8db · outbound

This paper cites Continuous control with deep reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Continuous control with deep reinforcement learning

Reference 35

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.659646Z

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Observation 2c7e0273-02bf-440e-988d-fe86d15516c8 · outbound

This paper cites A Deep Reinforcement Learning Approach to Injection Speed Control in Injection Molding Machines with Servomotor -Driven Constant Pump Hydraulic System.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A Deep Reinforcement Learning Approach to Injection Speed Control in Injection Molding Machines with Servomotor -Driven Constant Pump Hydraulic System

Reference 36

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.263738Z

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This paper cites Proximal Policy Optimization Algorithms.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Proximal Policy Optimization Algorithms

Reference 37

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.673772Z

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This paper cites Artificial Intelligence-Assisted Repair System for Structural and Electrical Restoration Using 3D Printing.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Artificial Intelligence-Assisted Repair System for Structural and Electrical Restoration Using 3D Printing

Reference 38

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.169823Z

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Observation 88034c91-f526-4f32-a495-ac18cd3520f4 · outbound

This paper cites Mastering the game of Go with deep neural networks and tree search.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Mastering the game of Go with deep neural networks and tree search

Reference 39

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This paper cites Grandmaster level in StarCraft II using multi -agent reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Grandmaster level in StarCraft II using multi -agent reinforcement learning

Reference 40

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.720096Z

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This paper cites A fast decision -making method for process planning with dynamic machining resources via deep reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A fast decision -making method for process planning with dynamic machining resources via deep reinforcement learning

Reference 41

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.099480Z

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Observation 6d586901-1ac4-49f4-ae8a-f8643af1a2be · outbound

This paper cites Graph neural network and multi -agent reinforcement learning for machine - process-system integrated control to optimize production yield.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Graph neural network and multi -agent reinforcement learning for machine - process-system integrated control to optimize production yield

Reference 42

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.131601Z

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Observation 88cceaa7-db31-443e-8883-ecb8ae85c448 · outbound

This paper cites Hybrid feedback and reinforcement learning -based control of machine cycle time for a multi-stage production system.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Hybrid feedback and reinforcement learning -based control of machine cycle time for a multi-stage production system

Reference 43

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.115405Z

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Observation 581b70e8-dd28-4e1c-a446-625b2c0c6031 · outbound

This paper cites A reinforcement learning decision model for online process parameters optimization from offline data in injection molding.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A reinforcement learning decision model for online process parameters optimization from offline data in injection molding

Reference 44

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.752314Z

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Observation 5a65b1f6-63eb-4f24-8a06-34da51b1e4f4 · outbound

This paper cites A decision -making method for assembly sequence planning with dynamic resources.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A decision -making method for assembly sequence planning with dynamic resources

Reference 45

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.743365Z

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This paper cites Thermal control of laser powder bed fusion using deep reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Thermal control of laser powder bed fusion using deep reinforcement learning

Reference 46

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.747897Z

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This paper cites Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Enhanced detection of diverse defects by developing lighting strategies using multiple light sources based on reinforcement learning

Reference 47

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.054198Z

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Observation a421179e-4241-4769-b974-3196c5dd82bf · outbound

This paper cites Multi -objective optimization of the textile manufacturing process using deep -Q-network based multi -agent reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Multi -objective optimization of the textile manufacturing process using deep -Q-network based multi -agent reinforcement learning

Reference 48

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.083749Z

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Observation 12ec227c-c467-4cdf-ad33-f6d5b1ef547e · outbound

This paper cites Optimal data -driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Optimal data -driven control of manufacturing processes using reinforcement learning: an application to wire arc additive manufacturing

Reference 49

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.643782Z

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Observation efe7217a-8e71-4166-aec3-f413697c49f0 · outbound

This paper cites Trajectory optimization and positioning control for batch process using learning control.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Trajectory optimization and positioning control for batch process using learning control

Reference 50

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.013018Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation a5ac1604-d9ee-44cb-b7bf-7d7ea8780f97 · outbound

This paper cites Improving the Consistency of Injection Molding Products by Intelligent Temperature Compensation Control.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Improving the Consistency of Injection Molding Products by Intelligent Temperature Compensation Control

Reference 51

Resolution: verified exact; doi, observed 2026-08-15T21:06:06.995655Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 4a7c9974-cdb5-4845-9138-da40b0dd51d5 · outbound

This paper cites Reinforcement learning for combined production - maintenance and quality control of a manufacturing system with deterioration failures.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Reinforcement learning for combined production - maintenance and quality control of a manufacturing system with deterioration failures

Reference 52

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.039455Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 1f38b0aa-b6e3-4aba-beb4-ad167194c3b3 · outbound

This paper cites Off -policy reinforcement learning -based novel model -free minmax fault -tolerant tracking control for industrial processes.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Off -policy reinforcement learning -based novel model -free minmax fault -tolerant tracking control for industrial processes

Reference 54

Resolution: verified exact; doi, observed 2026-08-15T21:06:06.950386Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 116e09e0-c4fc-435d-8b0e-6543c4dcd3b1 · outbound

This paper cites Development of an injection molding production condition inference system based on diffusion model.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Development of an injection molding production condition inference system based on diffusion model

Reference 55

Resolution: verified exact; doi, observed 2026-08-15T21:06:06.934892Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 305a48e1-458e-40d7-961a-cc6ad5a6648b · outbound

This paper cites An intelligent non -optimality self -recovery method based on reinforcement learning with small data in big data era.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production An intelligent non -optimality self -recovery method based on reinforcement learning with small data in big data era

Reference 56

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.628765Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 9582d969-04bb-4405-9e16-e656c13349c9 · outbound

This paper cites A Markovian decision process.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production A Markovian decision process

Reference 57

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.597447Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 19813804-6e4b-4083-8803-8c2003fbc91f · outbound

This paper cites Novel data -driven two-dimensional Q-learning for optimal tracking control of batch process with unknown dynamics.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Novel data -driven two-dimensional Q-learning for optimal tracking control of batch process with unknown dynamics

Reference 58

Resolution: verified exact; doi, observed 2026-08-15T21:06:06.965677Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f56e13aa-c597-448b-a047-4f0683267207 · outbound

This paper cites Simple statistical gradient -following algorithms for connectionist reinforcement learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Simple statistical gradient -following algorithms for connectionist reinforcement learning

Reference 59

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.828319Z

Source-reported events for the cited work

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Observation 96f21d3a-95e4-4160-a021-dd3a7065723b · outbound

This paper cites Reinforcement learning algorithms: A brief survey.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Reinforcement learning algorithms: A brief survey

Reference 60

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.832812Z

Source-reported events for the cited work

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Observation ecce1764-4200-4350-b96e-aab84257b1b0 · outbound

This paper cites Reinforcement learning: An introduction.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Reinforcement learning: An introduction

Reference 61

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.613513Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 0c811013-36c9-4420-ae28-ec71679d39de · outbound

This paper cites Reinforcement learning -based optimal scheduling model of battery energy storage system at the building level.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Reinforcement learning -based optimal scheduling model of battery energy storage system at the building level

Reference 62

Resolution: metadata mismatch; raw_fallback, observed 2026-08-15T21:06:07.754463Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 7ca939c4-4bf1-4e96-afe1-b7968be380db · outbound

This paper cites PyCaret: An open source, low-code machine learning library in Python 2020.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production PyCaret: An open source, low-code machine learning library in Python 2020

Reference 63

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.582362Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 81087d67-51d1-4f6e-9504-e42dfd53d103 · outbound

This paper cites Soft Actor -Critic Algorithms and Applications.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Soft Actor -Critic Algorithms and Applications

Reference 64

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.548982Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation efc00734-2c11-4f53-982d-5122bcde64f4 · outbound

This paper cites Soft Actor -Critic: Off -Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor, PMLR; 2018, p.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Soft Actor -Critic: Off -Policy Maximum Entropy Deep Reinforcement Learning with a Stochastic Actor, PMLR; 2018, p

Reference 65

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.533959Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 07dd2128-6bc5-4fe3-b787-84d5896f9f41 · outbound

This paper cites Bellemare, Joelle Pineau.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Bellemare, Joelle Pineau

Reference 66

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.837301Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 514053ce-fd4a-466f-8154-07ff19a3729b · outbound

This paper cites An inverse model for injection molding of optical lens using artificial neural network coupled with genetic algorithm.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production An inverse model for injection molding of optical lens using artificial neural network coupled with genetic algorithm

Reference 67

Resolution: unresolved; no resolver link, observed 2026-08-15T21:06:06.864833Z

Source-reported events for the cited work

Unavailable: canonical work link unavailable.

Observation 0253a92f-5a8b-4a01-82a0-892e70c09a22 · outbound

This paper cites Trust Region Policy Optimization.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Trust Region Policy Optimization

Reference 68

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.565480Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 291f09dc-c248-4493-b576-b031f84df1e2 · outbound

This paper cites Genetic Algorithms in Search, Optimization and Machine Learning.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Genetic Algorithms in Search, Optimization and Machine Learning

Reference 69

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.488444Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation ee1ade72-700a-4130-995d-06822a13dd0d · outbound

This paper cites OpenAI Gym.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production OpenAI Gym

Reference 71

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.518812Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 92032c4f-d9e2-446d-9182-2841b693d9ad · outbound

This paper cites DEAP: Evolutionary Algorithms Made Easy.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production DEAP: Evolutionary Algorithms Made Easy

Reference 73

Resolution: verified fuzzy; raw_fallback, observed 2026-08-15T21:06:08.503417Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation 683d11a9-96d7-4ce5-b0f7-fad22ad101a4 · outbound

This paper cites an unresolved cited work.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Unresolved cited work

Reference 100

Resolution: verified exact; doi, observed 2026-08-15T21:06:06.980660Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation f3f6d513-ea61-4188-8a30-dfdbd5e70823 · outbound

This paper cites https://doi.org/10.1787/6AD4D5E3-EN.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production https://doi.org/10.1787/6AD4D5E3-EN

Reference 127

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.414139Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

Observation d888b962-01c5-4e20-9775-7750687e1b2b · outbound

This paper cites an unresolved cited work.

DRL-Based Injection Molding Process Parameter Optimization for Adaptive and Profitable Production Unresolved cited work

Reference 310

Resolution: verified exact; doi, observed 2026-08-15T21:06:07.068993Z

Source-reported events for the cited work

No event found in the named queried sources as of 2026-08-19T06:32:44.657259+00:00.

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