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A hybrid LSTM method for forecasting demands of medical items in humanitarian operations
Hasni, Marwa; Babai, M. Zied; Rostami-Tabar, Bahman - In: International journal of production research 62 (2024) 17, pp. 6046-6063
Persistent link: https://www.econbiz.de/10015053762
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AI, skill, and productivity : the case of taxi drivers
Kanazawa, Kyogo; Kawaguchi, Daiji; Shigeoka, Hitoshi; … - 2022
assists drivers with finding customers by suggesting routes along which the demand is predicted to be high. We find that AI …
Persistent link: https://www.econbiz.de/10013433210
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AI, skill, and productivity : the case of taxi drivers
Kanazawa, Kyogo; Kawaguchi, Daiji; Shigeoka, Hitoshi; … - 2022
Persistent link: https://www.econbiz.de/10013463853
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Demand forecasting for fashion products : a systematic review
Swaminathan, Kritika; Venkitasubramony, Rakesh - In: International journal of forecasting 40 (2024) 1, pp. 247-267
Persistent link: https://www.econbiz.de/10014450269
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A machine learning approach to itinerary-level booking prediction in competitive airline markets
Hopman, Daniel; Koole, Ger M.; Mei, R. D. van der - In: International journal of revenue management : IJRM 12 (2021) 3/4, pp. 153-191
Persistent link: https://www.econbiz.de/10012990601
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Machine learning for demand forecasting in the physical internet : a case study of agricultural products in Thailand
Kantasa-ard, Anirut; Nouiri, Maroua; Bekrar, Abdelghani; … - In: International journal of production research 59 (2021) 24, pp. 7491-7515
Persistent link: https://www.econbiz.de/10012697551
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Application of machine learning techniques in railway demand forecasting
Alamdari, Neda Etebari; Anjos, Miguel F.; Savard, Gilles - In: International journal of revenue management : IJRM 12 (2021) 1/2, pp. 132-151
Persistent link: https://www.econbiz.de/10012521701
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Human-Artificial intelligence collaboration in prediction : a field experiment in the retail industry
Revilla, Elena; Sáenz, María Jesús; Seifert, Matthias; … - In: Journal of management information systems : JMIS 40 (2023) 4, pp. 1071-1098
Persistent link: https://www.econbiz.de/10014582243
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Machine learning methods for data-driven demand estimation and assortment planning considering cross-selling and substitutions
Chen, Zhen-Yu; Fan, Zhi-Ping; Sun, Minghe - In: INFORMS journal on computing : JOC ; charting new … 35 (2023) 1, pp. 158-177
Persistent link: https://www.econbiz.de/10014327391
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Daily retail demand forecasting using machine learning with emphasis on calendric special days
Huber, Jakob; Stuckenschmidt, Heiner - In: International journal of forecasting 36 (2020) 4, pp. 1420-1438
Persistent link: https://www.econbiz.de/10012546798