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Real-time prediction of bus travel speeds using traffic shockwaves and machine learning algorithms

Julio, Nikolas; Giesen, Ricardo; Lizana, Pedro - In: Research in transportation economics 59 (2016), pp. 250-257

Persistent link: https://www.econbiz.de/10011706897

Workload forecasting of a logistic node using Bayesian neural networks

Nakilcioğlu, Emin Çağatay; Rizvanolli, Anisa; … - In: Changing tides : the new role of resilience and …, (pp. 237-264). 2022

Purpose: Traffic volume in empty container depots has been highly volatile due to external factors. Forecasting the expected container truck traffic along with having a dynamic module to foresee the future workload plays a critical role in improving the work efficiency. This paper studies the...

Persistent link: https://www.econbiz.de/10013435448

Stock price prediction using deep learning

Liu, Ping - In: Proceedings of the 5th International Conference on …, (pp. 196-200). 2022

Persistent link: https://www.econbiz.de/10013348749

Machine learning : an introduction

Putatunda, Sayan - In: Advances in analytics and applications, (pp. 3-11). 2019

Persistent link: https://www.econbiz.de/10011974211

Soul and machine (learning)

Proserpio, Davide; Hauser, John R.; Liu, Xiao; Amano, … - In: Marketing letters : a journal of research in marketing 31 (2020) 4, pp. 393-404

Persistent link: https://www.econbiz.de/10012417693

Machine learning in demand planning : cross-industry overview

Moroff, Nikolas Ulrich; Sardesai, Saskia - In: Artificial intelligence and digital transformation in …, (pp. 355-383). 2019

Purpose: This paper aims to give an overview about the current state of research in the field of machine learning methods in demand planning. A cross-industry analysis for current machine learning approaches within the field of demand planning provides a decision-making support for the...

Persistent link: https://www.econbiz.de/10012158252

Can machine learning catch the COVID-19 recession?

Goulet Coulombe, Philippe; Marcellino, Massimiliano; … - In: National Institute economic review : journal of the … 256 (2021), pp. 71-109

Persistent link: https://www.econbiz.de/10012593679

Productivity and selection of human capital with machine learning

Chalfin, Aaron; Danieli, Oren; Hillis, Andrew; Jelveh, Zubin - In: The American economic review 106 (2016) 5, pp. 124-127

Persistent link: https://www.econbiz.de/10011699754

Stage prediction of traffic lights using machine learning

Heckmann, Kevin; Schneegans, Lena Elisa; Hoyer, Robert - In: Towards the New Normal in Mobility : Technische und …, (pp. 635-653). 2023

Persistent link: https://www.econbiz.de/10014288371

A machine learning approach to GDP nowcasting : an emerging market experience

Ghosh, Saurabh; Ranjan, Abhishek - In: Bulletin of monetary economics and banking 26 (2023), pp. 33-54

Persistent link: https://www.econbiz.de/10014266367

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