Abdul Razaque is an accomplished researcher and educator in the field of Computer Science & Engineering, with extensive expertise in cybersecurity, machine learning, quantum computing, and various other domains. He earned his PhD degree from the University of Bridgeport, USA, and completed his Post Doctorate at the University of Illinois, USA. With over 170 international academic publications, including journals, conferences, and book chapters, Dr. Razaque has made significant contributions to the advancement of knowledge in cybersecurity, biometric authentication, computer networks, and mobile malware detection and infringement. He has authored four academic books on these subjects. Dr. Razaque has held prestigious editorial positions, serving as the Editor-in-Chief for the International Journal for Engineering and Technology (IJET), Singapore, from 2012 to 2015. Additionally, he has been an Editor, Associate Editor, and Member of the Editorial Board for several other journals. As a dedicated researcher, Dr. Razaque has secured significant research funding totaling US$3,548,270.00. He has taught a wide range of courses, including Big Data Analytics, Data Mining, Secure Cloud Computing, Machine Learning, Cryptography for Information Security, and many more. His research interests encompass cybersecurity, machine learning, deep learning, quantum computing, data science, wireless sensor networks, artificial intelligence, cloud computing, and more. Dr. Razaque holds multiple certifications, including Cisco Certified Network Associate (CCNA), Microsoft Certified Professional (MCP), and ISACA Certified Information Security Manager (CISM). Throughout his career, Dr. Razaque has been recognized with numerous awards, including the Google PhD Fellowship, Best Paper Awards at prestigious conferences, and scholarships such as the Commonwealth Fellowship and the Split Merit Scholarship. His outstanding contributions to research and education have earned him international acclaim and accolades from esteemed organizations worldwide.
Les informations fournies dans la section « A propos du livre » peuvent faire référence à une autre édition de ce titre.
Vendeur : PBShop.store UK, Fairford, GLOS, Royaume-Uni
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798337349626
Quantité disponible : Plus de 20 disponibles
Vendeur : Grand Eagle Retail, Bensenville, IL, Etats-Unis
Hardcover. Etat : new. Hardcover. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. N° de réf. du vendeur 9798337349626
Quantité disponible : 1 disponible(s)
Vendeur : PBShop.store US, Wood Dale, IL, Etats-Unis
HRD. Etat : New. New Book. Shipped from UK. Established seller since 2000. N° de réf. du vendeur L2-9798337349626
Quantité disponible : Plus de 20 disponibles
Vendeur : California Books, Miami, FL, Etats-Unis
Etat : New. N° de réf. du vendeur I-9798337349626
Quantité disponible : Plus de 20 disponibles
Vendeur : CitiRetail, Stevenage, Royaume-Uni
Hardcover. Etat : new. Hardcover. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability. N° de réf. du vendeur 9798337349626
Quantité disponible : 1 disponible(s)
Vendeur : Rarewaves.com USA, London, LONDO, Royaume-Uni
Hardback. Etat : New. N° de réf. du vendeur LU-9798337349626
Quantité disponible : Plus de 20 disponibles
Vendeur : Rarewaves.com UK, London, Royaume-Uni
Hardback. Etat : New. N° de réf. du vendeur LU-9798337349626
Quantité disponible : Plus de 20 disponibles
Vendeur : AussieBookSeller, Truganina, VIC, Australie
Hardcover. Etat : new. Hardcover. As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. This item is printed on demand. Shipping may be from our Sydney, NSW warehouse or from our UK or US warehouse, depending on stock availability. N° de réf. du vendeur 9798337349626
Quantité disponible : 1 disponible(s)
Vendeur : AHA-BUCH GmbH, Einbeck, Allemagne
Buch. Etat : Neu. nach der Bestellung gedruckt Neuware - Printed after ordering - As smart cities continue to grow, sensing technologies are changing the way urban environments function and respond to everyday needs. With the integration of the internet of things (IoT), artificial intelligence (AI), and cloud-based systems, social sensing technologies can now collect and analyze real-time data to help improve services, infrastructure, and quality of life for citizens. Connected devices and digital networks are making cities more efficient, sustainable, and responsive by helping manage challenges such as traffic congestion, public safety, and energy use. These advancements also allow people to access information more easily and make more informed decisions in their daily lives. As technology becomes increasingly embedded in modern cities, social sensing is playing a central role in shaping smarter and more connected urban communities. AI and IoT-Driven Social Sensing for Smart City Innovation explores the evolving field of social sensing within smart cities, examining its potential, challenges, and future directions. Bridging insights from AI, IoT technologies, urban innovation, and data-driven decision-making, this book highlights how social sensing systems are reshaping modern urban environments by supporting more connected, efficient, and responsive city infrastructures. Covering topics such as air quality prediction, intelligent traffic flow, and real-time urban flood monitoring, this book is a fundamental academic resource for graduate and doctoral students, urban planners, engineers, data scientists, technology professionals, municipal leaders, government agencies, and more. N° de réf. du vendeur 9798337349626
Quantité disponible : 2 disponible(s)