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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

Fading Memories: The Role of Machine Learning in Organizational Knowledge Depreciation.
Gerlach, Jin P. ; Lange, Donald
Academy of Management Review. Feb2026, p1-21. 21p.

KNOWLEDGE management COMPETITIVE advantage in... OBSOLESCENCE DEPRECIATION MACHINE learning PARTICIPATION …
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4

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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5

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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6

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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7

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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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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Artificial intelligence, machine learning and IoT for smart business management
Jain, Garima, (DE-588)1389141314, (DE-627)1951352521, edt, HerausgeberIn ; Jain, Ankush, edt, HerausgeberIn ; Grover, Veena, (DE-588)1351563785, (DE-627)1913017265, edt, HerausgeberIn ; et al.
2026

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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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