Articles liés à Leveraging Iot and Machine Learning for Smart Urban...

Leveraging Iot and Machine Learning for Smart Urban Planning - Couverture rigide

 
9798369390306: Leveraging Iot and Machine Learning for Smart Urban Planning

Synopsis

The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists.

Les informations fournies dans la section « Synopsis » peuvent faire référence à une autre édition de ce titre.

À propos des auteurs

Rafia Mumtaz, a distinguished scholar, received the NUST Endowment Fund Scholarship for her MS studies (2004-2006) and a scholarship for her Ph.D. studies at the University of Surrey, UK. She is a Professor and Head of Software Engineering Department at the National University of Sciences and Technology(NUST), Islamabad, Pakistan. She has excelled in academia and research, publishing over 70 papers and earning accolades like HEC Best University Teacher Award(2022), and School Best Researcher Award(2019). Her pioneering work in precision agriculture earned her Women of Wonders Award(2021). Her leadership and IoT lab have secured grants worth Rs. 174 million and created a joint lab with Coventry University, UK with the name NUST-Coventry Internet of Things Lab, the first in NUST's and Coventry University's history. Her applied research in environmental monitoring has yielded patents and high-impact solutions. Her mentorship has guided students to international success, and she remains dedicated to advancing science and engineering.

Dr. Muhammad Ajmal Khan is a distinguished academic and professional currently serving as the Professor, Principal, and Dean at the School of Electrical Engineering and Computer Science (SEECS) at the National University of Sciences and Technology (NUST) in Islamabad, Pakistan. Dr. Khan completed his Ph.D. in Electrical Engineering from Michigan State University, USA, in 2008. He holds a Master's degree in Electrical Engineering from NUST, Islamabad, which he obtained in 2004, and a Bachelor's degree in Avionics Engineering from NED University of Engineering & Technology, Karachi, earned in 1991. His research interests span across micro-electronics, image processing, the Internet of Things (IoT), and machine learning. With a robust professional background, Dr. Khan has held various significant positions. Since 2021, he has been the Principal and Dean at SEECS, NUST. Prior to this, he served as the Commandant of CAE at NUST (2020-2021) and Deputy Director General of Crypto R&D in Islamabad (2019-2020). He has also been the Dean at NUST (CAE) from 2018 to 2019 and headed the Avionics Engineering Department at NUST (CAE) during 2016-2017. Additionally, he was the Director of the Crypto Research Centre in Islamabad from 2013 to 2016 and an Associate Professor at NUST (CAE) from 2009 to 2012. His career began as an Avionics Engineer, a role he fulfilled from 1992 to 2002. Dr. Khan is actively involved in several professional organizations. He is a member of the Royal Aeronautical Society in Pakistan and a Professional Engineer accredited by the Pakistan Engineering Council (PEC). His outstanding contributions to academia and engineering have been recognized through several honors and awards.

Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.

Acheter D'occasion

état :  Comme neuf
Unread book in perfect condition...
Afficher cet article
EUR 222,66

Autre devise

EUR 17,48 expédition depuis Etats-Unis vers France

Destinations, frais et délais

Acheter neuf

Afficher cet article
EUR 202,25

Autre devise

EUR 4,71 expédition depuis Royaume-Uni vers France

Destinations, frais et délais

Résultats de recherche pour Leveraging Iot and Machine Learning for Smart Urban...

Image d'archives

ISBN 13 : 9798369390306
Neuf Couverture rigide

Vendeur : Ria Christie Collections, Uxbridge, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. In. N° de réf. du vendeur ria9798369390306_new

Contacter le vendeur

Acheter neuf

EUR 202,25
Autre devise
Frais de port : EUR 4,71
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Ahmad, Muneer (EDT); Mumtaz, Rafia (EDT); Khan, Muhammad Ajmal (EDT)
ISBN 13 : 9798369390306
Neuf Couverture rigide

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur 50097065-n

Contacter le vendeur

Acheter neuf

EUR 202,24
Autre devise
Frais de port : EUR 17,71
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Ahmad, Muneer (EDT); Mumtaz, Rafia (EDT); Khan, Muhammad Ajmal (EDT)
ISBN 13 : 9798369390306
Neuf Couverture rigide

Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : New. N° de réf. du vendeur 50097065-n

Contacter le vendeur

Acheter neuf

EUR 221,31
Autre devise
Frais de port : EUR 17,48
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Ahmad, Muneer (EDT); Mumtaz, Rafia (EDT); Khan, Muhammad Ajmal (EDT)
ISBN 13 : 9798369390306
Ancien ou d'occasion Couverture rigide

Vendeur : GreatBookPrices, Columbia, MD, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50097065

Contacter le vendeur

Acheter D'occasion

EUR 222,66
Autre devise
Frais de port : EUR 17,48
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image fournie par le vendeur

Ahmad, Muneer (EDT); Mumtaz, Rafia (EDT); Khan, Muhammad Ajmal (EDT)
ISBN 13 : 9798369390306
Ancien ou d'occasion Couverture rigide

Vendeur : GreatBookPricesUK, Woodford Green, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Etat : As New. Unread book in perfect condition. N° de réf. du vendeur 50097065

Contacter le vendeur

Acheter D'occasion

EUR 223,18
Autre devise
Frais de port : EUR 17,71
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : Plus de 20 disponibles

Ajouter au panier

Image d'archives

Muneer Ahmad
ISBN 13 : 9798369390306
Neuf Couverture rigide

Vendeur : CitiRetail, Stevenage, Royaume-Uni

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : new. Hardcover. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798369390306

Contacter le vendeur

Acheter neuf

EUR 212,25
Autre devise
Frais de port : EUR 29,52
De Royaume-Uni vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Muneer Ahmad
Edité par IGI Global, 2025
ISBN 13 : 9798369390306
Neuf Couverture rigide

Vendeur : Grand Eagle Retail, Fairfield, OH, Etats-Unis

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : new. Hardcover. The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798369390306

Contacter le vendeur

Acheter neuf

EUR 237,53
Autre devise
Frais de port : EUR 65,58
De Etats-Unis vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier

Image d'archives

Muneer Ahmad
Edité par IGI Global, 2025
ISBN 13 : 9798369390306
Neuf Couverture rigide

Vendeur : AussieBookSeller, Truganina, VIC, Australie

Évaluation du vendeur 5 sur 5 étoiles Evaluation 5 étoiles, En savoir plus sur les évaluations des vendeurs

Hardcover. Etat : new. Hardcover. The integration of the Internet of Things (IoT) and machine learning (ML) transforms the way cities are planned, developed, and managed, creating a new era of smart urban planning. By connecting physical infrastructure with real-time data, IoT devices enable cities to collect and analyze large amounts of information on data like traffic patterns and energy usage to air quality and public services. When paired with the predictive capabilities of machine learning, this data can optimize urban systems, enhance sustainability, and improve residential quality of life. Smart urban planning powered by IoT and ML facilitates more efficient resource management while fostering greater resilience in the face of urban challenges, such as population growth, environmental pressures, and climate change. This innovative approach may help create cities that are smarter, more adaptive, and better equipped to meet future needs. Leveraging IoT and Machine Learning for Smart Urban Planning explores the integration of IoT and machine learning technologies to create smarter, more efficient, and sustainable environments. It covers theoretical foundations, practical applications, and real-world case studies across various sectors including urban planning, transportation, energy management, agriculture, healthcare, water resources, and waste management. This book covers topics such as citizen engagement, renewable energy, smart cities, and is a useful resource for policymakers, business owners, engineers, sociologists, academicians, researchers, and data scientists. "The objective of the book is to explore and demonstrate how advanced technologies like the Internet of Things (IoT) and machine learning can be applied to urban planning to make cities smarter, more efficient, and more sustainable"-- Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798369390306

Contacter le vendeur

Acheter neuf

EUR 282,72
Autre devise
Frais de port : EUR 32,35
De Australie vers France
Destinations, frais et délais

Quantité disponible : 1 disponible(s)

Ajouter au panier