Fostering Machine Learning and IoT for Blockchain Technology : Smart Cities Applications, Volume 1
Language: English
Published by Springer, 2026
- Softcover
- New
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- Title
- Fostering Machine Learning and IoT for Blockchain Technology : Smart Cities Applications, Volume 1
- Author
- Uma N. Dulhare
- Publisher
- Springer
- Publication year
- 2026
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 10
- 9819640806
- ISBN 13
- 9789819640805
- Item weight
- 610 grams
- Dimensions
- 235x155x22 mm
This book covers Blockchain Technology and its emerging field by developing socio-economic systems viz. efficiently establishing transparency, and trust, increasing utilization of various resources, and reducing cost. This book is organized into 2 volumes that provide an overview of Blockchain technology foundations of Blockchain, Machine Learning and Distributed Systems, Cryptography, Consensus algorithm, Bitcoin concepts, and its properties, Smart Contracts, developing knowledge of tools like Hyperledger, Multichain, Ethereum, etc. Machine learning algorithms, applications of a smart city using machine learning and blockchain technology. While this book will dwell on the foundations of Blockchain Technology as a part of transparency, scalability, integrity, security, and how the machine learning algorithms integrate with blockchain technology-based smart city applications, it will also focus on contemporary topics for Research and Development in various sectors. With an in-depth knowledge of the technology underlying various platforms such as Bitcoin, Ethereum, and Hyperledger. As a beginner, the reader will be learning the importance of consensus in transactions, how transactions are stored on Blockchain & how to use it in the financial domain, such as virtual currency, cross-border payment and settlement bills and supply chain finance, securities insurance, and transactions viz. Bitcoin. The reader will be able to develop custom smart contracts using solidity and Remix IDE using the Ethereum platform and deploy them on the test Blockchain network using Truffle. The reader will learn how to build a machine learning model and analyze the data which is generated by the practical use cases of Blockchain in various smart cities sectors like Smart Health, Smart food, and agriculture, smart transport, smart water management, smart waste management, smart energy management, etc.
"Synopsis" may belong to another edition of this title.
About the Author
Dr. Khaleel Ahmad is
currently an Assistant Professor in the Department of Computer Science &
Information Technology at Maulana Azad National Urdu University, Hyderabad. He
has more than nine years of teaching and research experience. He worked as a
Visiting SERB International Research Fellow in the Department of Computer
Science, University of Pisa, Italy, under the SERB International Research
Experience (SIRE) Fellowship Programme funded by the Science and Engineering
Research Board (SERB), Government of India for six months. He visited the
National Defence University of Malaysia, Malaysia, as a Visiting Faculty from
26 December 2018 to 6 January 2019. He completed one Research Project of 01.05
Lakh. He received a UGC-MANUU National Travel Grant in 2014. He has received the
best paper award at two conferences in Malaysia and India. He coordinated two
Faculty Development Programmes sponsored by DRDO and NITTTR, Bhopal. He has
supervised one Ph.D. student, 07 M.Tech. students, and several B. Tech
students, along with many MCA research projects. His research areas are
Blockchain Technology, Cyber Security, Cryptography, and Opportunistic
Networks. He has filed two patents from Malaysia in collaboration with the
National Defence University of Malaysia. He has published more than 50 papersin refereed Journals and conferences (viz. Nature, Elsevier, ACM, IEEE, and
Springer) and 20 book chapters (Springer, Taylor & Francis, Wiley, IGI
Global). He has edited four books published by Springer, Taylor & Francis,
and Wiley. He has delivered lectures in India and abroad and chaired several
sessions at National and International conferences. He is a life member of
various international/national research societies viz. ISTE, CRSI, ISCA, IACSIT
(Singapore), IAENG (Hong Kong), ISOC (USA). In addition, he is associated with
manyinternational research organizations as an editorial board member and
reviewer.
Prof. Uma N. Dulhare is
currently working as a Professor and head of the Department of Computer Science
& Artificial Intelligence, MuffaKham Jah College of Engineering, Hyderabad,
India. She has more than 20 years of teaching experience. She received her
Ph.D. from Osmania University, Hyderabad Her research interests include Data
Mining, Big Data Analytics and Machine Learning, IoT, Cloud computing, and
Biomedical Image Processing. She has published over 30 research papers in
reputed National and international Journals & book chapters. Also, sheedited 3 books. She is a Member of the Computer Science Teachers Association
(CSTA), USA, IEEE(SMC), ACM, Senior Member of the International Association of
Engineers (IAENG), Senior Member of Universal Association of Computer and
Electronics Engineers (UACEE) LifeMember of ISTE.
Dr. Mohammad “Sufian” Badar,
Ph.D. has served as a Senior Teaching Faculty in the Department of
Bioengineering at the University of California, Riverside, CA, USA. He served
as an Analytics Architect in CenturyLink for over a year in Denver, CO, USA.
Currently, he has been serving as a senior faculty (temporary) in the
Department of Computer Engineering at Jamia Hamdard, New Delhi, India. He
possesses an excellent academic record with an MS degree in Molecular Science
and Nanotechnology and a Ph.D. in Engineering from Louisiana Tech University
Ruston, LA, USA, respectively. Before joining the Ph.D. program at Louisiana
Tech University, he graduated with an MSc in Bioinformatics from Jamia Millia
Islamia University, New Delhi, India. Dr. Sufian has over 14 years of teaching,
research, and industry experience. He has published his research in conferences
and highly reputed International journals. He has authored many chapters in thearea of Artificial Intelligence/Machine Learning and blockchain/IoT. Currently,
he is Editing two books: 1. Diagnosis & Analysis of COVID-19 using
Artificial Intelligence and Machine Learning-based Techniques, 2. COVID-19:
Cause, Transmission, Diagnosis, and Treatment. He has developed an algorithm
for Face Detection, Recognition, and Emotion Recognition. He is currently in
the process of developing a device that, using Biosensors, can correlate the
physiology of the human body with the emotion recognition algorithm, giving us
a clear measure of the amount of stress hormones in the body. Currently, he and
his group have developed an ML model that predicts COVID-19 infection just from
the patient’s symptoms.
Dr. Jameel Ahamed has done
his Doctor of Philosophy (Ph.D.) from the National Institute of Technology
Srinagar, J&K (NIT Srinagar). He has completed a Bachelor of Technology
(B.Tech.) from the Faculty of Engineering, Jamia Millia Islamia, New Delhi, and
a Master of Technology (M.Tech.) from the National Institute of Technology,
Srinagar, J&K (NIT Srinagar). Before joining the School of Technology,MANUU, Hyderabad, as an Assistant Professor, he worked as Guest Faculty in the
Department of Electronics Engineering, Aligarh Muslim University, Aligarh, U.P.
for over a year. He coordinated two Faculty Development Programmes sponsored by
DST and UGC. He also completed one Research Project of 01.05 Lakh. He has more
than 15 research publications to his credit and delivered many invited talks.
He has visited countries like the Czech Republic and the United Kingdom for
paper presentations at conferences. He has supervised 07 Master of Technology
(M.Tech.) and several Bachelor of Technology (B.Tech.) and MCA research projects.
His researchareas include the Internet of Things, Computer Networks, Machine
Learning, and Network Security.
Prof. M A Rizvi (Dean) obtained
his Doctorate in Computer Science from Maulana Azad National Institute of
Technology (MANIT) Bhopal. Dr. Rizvi has also achieved a Master’s degree in
Electronics and a Graduate Diploma in Computer Applications from Aligarh Muslim
University, Aligarh, and a Master’s of Business Administration (MBA HR) from
Barkatullah University Bhopal. Dr. Rizvi has more than 29 years of experience
in the field of Computer Science and Applications as a faculty (Professor andDean) at the National Institute of Technical Teachers’ Training and Research,
Bhopal (NITTTR) a Govt. of India Institute. He has published approximately 140
research papers in reputed International Journals and International Conferences
across the globe. He has published three patents and two copyrights on facial
Recognition Algorithms and Computer vision-based automatic attendance
calculation and updating systems. He has attended many International/ National
Conferences in India and abroad to present his research papers. He was invited
to many International conferences as a keynote speaker, session chair, and
invited talk. A book named “Computer and Communication a Practical Manual for
Internet Café” for NCERT New Delhi India written by him is another feather to
his cap. He has authored 10 chapters in edited books published by international
publishers.
"About the title" may belong to another edition of this title.
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