257,03 €
302,39 €
-15% su kodu: ENG15
Road Traffic Modeling and Management
257,03 € 
- Išsiųsime per 12–18 d.d.
Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Pro…
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- Autorius: Fouzi Harrou
- Leidėjas: Elsevier
- ISBN-10: 0128234326
- ISBN-13: 9780128234327
- Formatas: 15.2 x 22.9 x 1.5 cm, minkšti viršeliai
- Kalba: Anglų
- Extra -15 % nuolaida šiai knygai su kodu: ENG15
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Aprašymas
Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.EXTRA 15 % nuolaida su kodu: ENG15
257,03 €
302,39 €
Išsiųsime per 12–18 d.d.
Akcija baigiasi už 3d.15:14:42
Nuolaidos kodas galioja perkant nuo 10 €. Nuolaidos nesumuojamos.
- Autorius: Fouzi Harrou
- Leidėjas: Elsevier
- ISBN-10: 0128234326
- ISBN-13: 9780128234327
- Formatas: 15.2 x 22.9 x 1.5 cm, minkšti viršeliai
- Kalba: Anglų Anglų
Road Traffic Modeling and Management: Using Statistical Monitoring and Deep Learning provides a framework for understanding and enhancing road traffic monitoring and management. The book examines commonly used traffic analysis methodologies as well the emerging methods that use deep learning methods. Other sections discuss how to understand statistical models and machine learning algorithms and how to apply them to traffic modeling, estimation, forecasting and traffic congestion monitoring. Providing both a theoretical framework along with practical technical solutions, this book is ideal for researchers and practitioners who want to improve the performance of intelligent transportation systems.
Atsiliepimai