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1

Machine learning-based dynamic production planning and control in unreliable manufacturing systems with supply disruptions.
Assid, M. ; Gharbi, A. ; Pellerin, R.
International Journal of Production Research. Dec2025, Vol. 63 Issue 23, p9229-9247. 19p.

PRODUCTION planning COST control MANUFACTURING industries SUPPLY chain disruptions INVENTORY control MACHINE learning …
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2

Yield prediction in semiconductor manufacturing using two-step machine learning.
Busch, Rebecca ; Czerner, Peter ; Wahl, Michael ; et al.
International Journal of Production Research. Dec2025, p1-18. 18p. 6 Illustrations.

SEMICONDUCTOR manufactur... DATA analysis INDUSTRIAL efficiency FORECASTING MACHINE learning DATA quality …
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3

Machine learning algorithms in intermittent demand forecasting: a review.
Giannopoulos, Panagiotis G. ; Dasaklis, Thomas K. ; Tsantilis, Ioannis ; et al.
International Journal of Production Research. Oct2025, p1-43. 43p. 9 Illustrations.

TIME series analysis STANDARDIZATION MACHINE learning DEMAND forecasting FEATURE selection TRANSFER of training …
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4

Analysis of informatization-related factors for digital transformation in manufacturing small and medium-sized enterprises using machine learning techniques.
Choi, Doowon ; Cho, Insu
International Journal of Production Research. Sep2025, Vol. 63 Issue 18, p6669-6689. 21p.

DIGITAL transformation RESOURCE allocation INNOVATIONS in business ARTIFICIAL intelligence SMALL business INNOVATION adoption …
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5

A machine learning-based genetic programming algorithm for the stochastic resource-constrained project scheduling problem with 3D workspaces and carbon emissions.
Liu, Hao ; Zhang, Jingwen ; Demeulemeester, Erik ; et al.
International Journal of Production Research. Nov2025, p1-25. 25p. 8 Illustrations.

RESOURCE allocation PRODUCTION scheduling MACHINE learning GENETIC programming REINFORCEMENT learning STOCHASTIC programming …
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6

Defending Deep Learning-Based Raw Malware Detectors Against Adversarial Attacks: A Sequence Modeling Approach.
Ebrahimi, Reza ; Hu, James Lee ; Zhang, Ning ; et al.
Journal of Management Information Systems. 2025, Vol. 42 Issue 4, p1118-1148. 31p.

MALWARE CYBERTERRORISM DEEP learning RECURRENT neural network... INTERNET security GENERATIVE artificial in...
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7

Predicting schedule adherence of engineering changes – a case study on effectivity date adherence prediction using machine learning.
Radisic-Aberger, Ognjen ; Burggräf, Peter ; Steinberg, Fabian ; et al.
International Journal of Production Research. Jun2025, Vol. 63 Issue 11, p3913-3937. 25p.

ARTIFICIAL intelligence AUTOMATED planning & sch... MACHINE learning DEEP learning PREDICTION models
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8

An analysis model of teacher-child conversations based on deep learning
Wang, Shiyao ; Song, Lin ; Liu, Yanming
Educational Technology & Society, 2026 Jan 01. 29(1), 150-167.

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9

Predicting complaints in semiconductor order fulfilment with machine learning.
Moder, Patrick ; Hoberg, Kai
International Journal of Production Research. Jul2025, Vol. 63 Issue 13, p4776-4799. 24p.

CONSUMER behavior CONSUMER complaints SUPPLY chain management CUSTOMER satisfaction MACHINE learning
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10

Heterogeneous knowledge graph-driven subassembly identification with ensemble deep learning in Industry 4.0.
Zhang, Chao ; Jing, Yanzhen ; Zhou, Guanghui ; et al.
International Journal of Production Research. May2025, Vol. 63 Issue 9, p3175-3191. 17p.

SYSTEMS engineering GRAPH neural networks DEEP learning KNOWLEDGE graphs DETECTION algorithms
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11

Machine-learning-based sampling inspection under OQC capacity for real-time quality monitoring in the TFT-LCD industry.
Shih, Ming-Sung ; Chen, James C. ; Chen, Tzu-Li ; et al.
International Journal of Production Research. Mar2025, Vol. 63 Issue 6, p2090-2113. 24p.

STATISTICAL sampling QUALITY control MACHINE learning SAMPLING (Process) THIN films
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12

Student academic prediction and intervention in the context of big data : Comparison and optimization of machine learning models
Yue, Zongmin ; Xu, Xiaoyu
Educational Technology & Society, 2026 Jan 01. 29(1), 79-93.

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13

Stock Market Volatility Forecasting: Exploring the Power of Deep Learning.
Vo, Minh
FinTech. Dec2025, Vol. 4 Issue 4, p61. 30p.

BUSINESS forecasting STOCKS (Finance) TRANSFORMER models DEEP learning AUTOREGRESSIVE models LONG short-term memory
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14

Improved Spider Monkey Optimization for EEG Feature Selection in Deep Learning-Based Sleep Stage Classification.
Pise, Anjali ; Rege, Priti ; Bhatlawande, Shripad
Journal of Intelligent & Fuzzy Systems. Dec2025, Vol. 49 Issue 6, p1371-1392. 22p.

DEEP learning CONVOLUTIONAL neural net... LONG short-term memory OPTIMIZATION algorithms MACHINE learning SLEEP-wake cycle …
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15

Predicting customer demand with deep learning: an LSTM-based approach incorporating customer information.
Hooshmand Pakdel, Golnaz ; He, Yong ; Chen, Xuhui
International Journal of Production Research. Feb2025, p1-13. 13p. 7 Illustrations.

ARTIFICIAL intelligence MACHINE learning LONG short-term memory EXTREME learning machine... DEEP learning
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16

Forecasting realized volatility of the oil future prices via machine learning.
Kim, Myung Jun ; Kim, Byung-June ; Kim, Taeyoon ; et al.
Applied Economics. Jan2026, Vol. 58 Issue 4, p756-779. 24p.

FORECASTING MACROECONOMICS MARKET volatility ECONOMIC impact MACHINE learning PETROLEUM
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17

Warranty Provisions: Machine-Learning Versus Human Estimates.
Becker, Martin ; Schölzel, Simon
European Accounting Review. Dec2025, Vol. 34 Issue 5, p1945-1973. 29p.

WARRANTY COST estimates ESTIMATION theory MACHINE learning PREDICTION models SAMPLING errors
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18

Can machine learning surpass human investors? Evidence from adaptive herding behaviour in US, China and India.
Loang, Ooi Kok
Journal of Applied Economics. Dec2025, Vol. 28 Issue 1, p1-22. 22p.

MARKET sentiment FINANCIAL markets INVESTORS ALGORITHMIC trading (Sec... MACHINE learning HERDING …
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19

Healthcare Cost Prediction for Heterogeneous Patient Profiles Using Deep Learning Models with Administrative Claims Data.
Morid, Mohammad Amin ; Sheng, Olivia R. Liu
Information Systems Research. Dec2025, Vol. 36 Issue 4, p1968-1992. 25p.

ALGORITHMIC bias ECONOMIC decision making RESOURCE allocation DEEP learning MEDICAL care costs MEDICAL care use …
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20

PathGPS: An Integrated Deep Learning and Machine Learning Framework for Multi-Pathogen Diagnosis Via Gene Pair Signatures
Wen, Huaijin ; Mao, Feiqiao
2025 IEEE International Conference on Bioinformatics and Biomedicine (BIBM) Bioinformatics and Biomedicine (BIBM), 2025 IEEE International Conference on. :1325-1331 Dec, 2025

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