Cover Image

Machine learning for transportation research and applications /

Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in machine learning provide new methods to tackle challenging transportation problems. This te...

Full description

Bibliographic Details
Main Authors:	Wang, Yinhai (Author), Cui, Zhiyong, 1989- (Author), Ke, Ruimin (Author)
Corporate Author:	ScienceDirect (Online service)
Format:	eBook
Language:	English
Published:	Amsterdam : Elsevier, 2023.
Subjects:	Transportation > Data processing. Machine learning. Transport > Informatique. Apprentissage automatique. Machine learning Transportation > Data processing Electronic books.
Online Access:	Connect to the full text of this electronic book

Similar Items

Machine learning in chemistry : data-driven algorithms, learning systems, and predictions /
Published: (2019)

Machine learning for planetary science /
Published: (2022)

Applied machine learning on sensing technologies /
Published: (2025)

Supervised machine learning in wind forecasting and ramp event prediction /
by: Dhiman, Harsh S., et al.
Published: (2020)

Machine learning for biometrics : concepts, algorithms and applications /
Published: (2022)

Machine learning for small bodies in the solar system /
Published: (2025)

Machine learning for membrane separation applications /
by: Rezakazemi, Mashallah, et al.
Published: (2025)

Machine learning for membrane separation applications /
by: Rezakazemi, Mashallah, et al.
Published: (2025)

Machine learning in quantum sciences /
by: Dawid, Anna
Published: (2025)

Handbook of hydroinformatics.
Published: (2022)

MACHINE LEARNING AND DEEP LEARNING TECHNIQUES FOR MEDICAL IMAGE RECOGNITION.
Published: (2023)

Machine learning and hybrid modelling for reaction engineering : theory and applications /
Published: (2024)

Machine learning for powder-based metal additive manufacturing /
Published: (2025)

Machine learning for powder-based metal additive manufacturing /
Published: (2025)

Machine learning and knowledge discovery for engineering systems health management /
Published: (2012)

ADVANCES AND APPLICATIONS OF MACHINE LEARNING IN FLUID FLOW PROBLEMS.
Published: (2026)

ADVANCES AND APPLICATIONS OF MACHINE LEARNING IN FLUID FLOW PROBLEMS.
Published: (2026)

Machine intelligence in mechanical engineering /
Published: (2024)

Applied Machine Learning for Data Science Practitioners.
by: Subramanian, Vidya
Published: (2025)

Using machine learning to manage & analyze unstructured financial services data : Pendo Systems.
Published: (2019)

Machine learning and data science in the power generation industry /
Published: (2021)

Machine learning and data science in the oil and gas industry : best practices, tools, and case studies /
Published: (2021)

De-Mystifying Math & Stats for Machine Learning : Mastering the Fundamentals of Mathematics and Statistics for Machine Learning /
by: Kumar, Govind
Published: (2021)

Machine learning in chemistry : the impact of artificial intelligence /
Published: (2020)

Machine Learning /
by: Hilbert, Martin R.
Published: (2022)

Machine Learning in Earth, Environmental and Planetary Sciences : Theoretical and Practical Applications /
by: Bonakdari, Hossein, et al.
Published: (2023)

Transportation big data : theory and methods.
by: Liu, Zhiyuan
Published: (2025)

Fundamentals of machine learning /
by: Trappenberg, Thomas P.
Published: (2020)

Introduction to machine learning : theory.
Published: (2018)

Machine learning for biometrics : concepts, algorithms and applications /
Published: (2022)

Applied artificial intelligence and machine learning techniques for engineering applications /
Published: (2026)

Machine learning guide for oil and gas using Python : a step-by-step breakdown with data, algorithms, codes, and applications /
by: Belyadi, Hoss, et al.
Published: (2021)

Demystifying big data, machine learning, and deep learning for healthcare analytics /
Published: (2021)

Becoming a data head : how to think, speak, and understand data science, statistics, and machine learning /
by: Gutman, Alex J., et al.
Published: (2021)

Machine learning and data mining : introduction to principles and algorithms /
by: Kononenko, Igor, 1959-
Published: (2007)

Green machine learning and big data for smart grids : practices and applications /
Published: (2025)

Applied machine learning for data science practitioners /
by: Subramanian, Vidya, 1978-
Published: (2025)

MACHINE LEARNING IN GEOHAZARD RISK PREDICTION AND ASSESSMENT from.
Published: (2024)

COMPUTATIONAL TECHNIQUES IN NEUROSCIENCE.
Published: (2023)

Machine learning and analytics in healthcare systems : principles and applications /
Published: (2021)