Hardcover. The book covers Blockchain Technology and its emerging field by developing socio-economic systems viz. efficiently establishing transparency, trust, increasing utilization of various resources, and reducing costs. 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 dwells on thefoundations 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, agriculture, smart transport, smart water management, smart waste management, smart energy management, etc. 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, agriculture, smart transport, smart water management, smart waste management, smart energy management, etc. Shipping may be from multiple locations in the US or from the UK, depending on stock availability.

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Detalles bibliogr�ficos

T�tulo: Fostering Machine Learning and IoT for Blockchain Technology (Hardcover)
Editor: Springer Nature Switzerland AG, Cham
Fecha de publicaci�n: 2025
Idioma: Ingl�s
ISBN 10: 9819640733
ISBN 13: 9789819640737
Encuadernaci�n: Hardcover
Estado: new

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Sinopsis

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, agriculture, smart transport, smart water management, smart waste management, smart energy management, etc.

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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 papers in 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 many international 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, she edited 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) Life Member 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 the area of Artificial Intelligence/Machine Learning and blockchain/IoT. Hehas 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 conference paper presentations. He has supervised 07 Master of Technology (M.Tech.) and several Bachelor of Technology (B.Tech.) and MCA research projects. His research areas 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 and Dean) 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 Caf�” 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.

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