Advanced systems, such as artificial intelligence (AI), blockchain, and Internet of Things (IoT), have transformative potential in creating intelligent and sustainable solutions for the sequestration management of carbon emissions. Carbon sequestration is important in fighting global warming, and the optimization of carbon shifts markets to a low-carbon economy. They also have real-world applications in areas like agriculture, healthcare, energy, supply chains, and conservation. These practical applications and future trends are critical for understanding and advancing the role of technology in sustainability for a greener and more equitable future. Advanced Systems for Monitoring Carbon Sequestration encourages the development of new tools, algorithms, and platforms for energy efficiency, resource optimization, and environmental conservation. It provides evidence-based recommendations and frameworks that organizations can use to create actionable strategies. Covering topics such as carbon flux modelling, big data platforms, and security protocols, this book is an excellent resource for environmentalists, engineers, computer scientists, business owners, policymakers, researchers, academicians and more.

�ber die Autorinnen und Autoren

Hari Mohan Pandey works in data science and artificial intelligence at school of technology Bournemouth University, UK. They are featured in the 2022 World Ranking list of Top 2% scientist by Sandford University. They specialized in Computer Science & Engineering. My research area includes artificial intelligence, soft computing techniques, natural language processing, language acquisition, machine learning, deep learning and computer vision. They have been an author of various books in computer science engineering (algorithms, programming and evolutionary algorithms). Recently, my book entitle “State of the Art on Grammatical Inference Using Evolutionary Method " has been published in Elsevier. They have published over 120 scientific papers in reputed journals and conferences. They are serving on the editorial board of reputed journals (including Neural Networks Elsevier, Applied Soft Computing Elsevier, Swarm and Evolutionary Computing Elsevier, Neural Computing and Applications Springer, IEEE Transactions of Evolutionary Computation, IEEE Transactions on Industrial Informatics, Neurocomputing Springer, IEEE Transactions on Fuzzy Systems, IEEE Transactions on Neural Networks and Learning Systems and Knowledge Based Systems Elsevier) as action editor, associate editor, and guest editor. They are a reviewer of top international conferences such as GECCO, CEC, IJCNN, BMVC, AAAI etc. They have delivered expert talks as keynote and invited speaker. They are a fellow of the HEA of the UK Professional Standards Framework (UKPSF) and have a rich teaching experience at the higher education level. They have delivered lecturers in the International summer/winter schools. I have been given the prestigious award “The Global Award for the Best Computer Science Faculty of the Year 2015”, award for completing INDO-US project “GENTLE”, award (Certificate of Exceptionalism) from the Prime Minister of India and award for developing innovative teaching and learning models for higher-education. In past, They worked as a sr. lecturer in computer science department at Edge Hill University. They also worked as a research fellow machine learning at the school of technology at Middlesex University London where they worked on a European Commission project- DREAM4CARS. My role was to research and develop advanced machine learning techniques relevant to the project goals and to evaluate these on both project & reference data sets. To lead and manage relevant work packages in support of the project, ensuring appropriate interfacing with partners.

Pawan Kr. Goel is an accomplished academician and researcher with 19.5 years of experience, is an Associate Professor at Raj Kumar Goel Institute of Technology, Ghaziabad. He holds a Ph.D. in Computer Science Engineering and is UGC NET qualified. His expertise spans various domains, including wireless sensor networks, cloud computing, and artificial intelligence. Dr. Goel has published extensively in prestigious journals and conferences, with notable papers on topics such as cybersecurity, IoT, and machine learning. He is an active member of numerous professional bodies, including the IEEE, Computer Society of India and the International Association of Engineers. Recognized for his contributions, he has received several awards and certificates of appreciation. Dr. Goel is dedicated to fostering industry-academia collaborations and has organized numerous workshops and seminars. He is also involved in various training programs, MOOCs, and NPTEL certifications, contributing significantly to the advancement of education and research in his field.

Vipin Balyan , (Member, IEEE) received the B.E. (Hons) degree in Electronics and Communication Engineering, from Dr B.R. Ambedkar University, Agra, India in 2003, M.Tech degree in Electronics & Networking Engineering, from the LaTrobe University, Bundoora, Melbourne, Australia in 2006, Ph.D. in Electronics and Communication Engineering, from JUIT, Solan, India, in 2013, for the thesis titled: “Efficient Single Code Assignment in OVSF based WCDMA Wireless Networks.” Currently, he is an Associate Professor in the Department of Electrical, Electronics and Computer Engineering, Program Coordinator with the French South African Institute of Technology (F’SATI), and African Space Innovation Centre (ASIC), at the Cape Peninsula University of Technology (CPUT), Bellville, South Africa. His research interests include CDMA, OFDM, 5G, UAVs, fuel cells, terrestrial and visible light communication. He is a recipient of numerous awards, including the departmental teaching excellence award in 2022, university platinum award for research publications and bronze award for postgraduate supervision in 2021, and university bronze award for research publications in 2020. He received a funding of R1.8 million from Hydrogen South Africa. He is the author/co-author of 100 SCI/Scopus indexed Journals and Conferences. He is a Y2-rated researcher from the National Research Foundation (NRF), South Africa.

Satya Prakash Yadav (FIETE & SMIEEE) is currently the Associate Professor of the Department of Computer Science and Engineering, Madan Mohan Malaviya University of Technology, Gorakhpur, U.P., India and has completed his Postdoctoral Research Fellow from Federal Institute of Education, Science and Technology of Cear�, Brazil. He has awarded his PhD degree from Dr. A.P.J. Abdul Kalam Technical University (AKTU) (formerly UPTU). Currently, 4 students are working for Ph.D. under his guidance. A seasoned academician having more than 18 years of experience, he has published four books (Programming in C, Programming in C++ and Blockchain and Cryptocurrency) under I.K. International Publishing House Pvt. Ltd. Including Distributed Artificial Intelligence: A Modern Approach, Published December 18, 2020 by CRC Press. He has undergone industrial training programs during which he was involved in live projects with companies in the areas of SAP, Railway Traffic Management Systems, and Visual Vehicles Counter and Classification (used in the Metro rail network design). He is an alumnus of Netaji Subhas Institute of Technology (NSIT), Delhi University. A prolific writer, Dr. Satya Prakash Yadav has published six patents and authored many research papers in web of science indexed journals. Additionally, His area of specialisation is in the areas of Image Processing, Information retrieval and Features extraction. Also, he is a Editor in Chief in Journal of Cyber Security in Computer System & Journal of Soft Computing and Computational Intelligence (MAT journals), Series Editor in DeGruyter International Publisher, Bentham Science and CRC Press, Taylor and Francis Group Publisher (U.S.A), Lead Editor in Tech Science Press (Computer Systems Science and Engineering), International Journal of Experimental Research and Review, Measurement: Sensors (Elsevier Publisher), International Journal of Advanced Technology and Engineering Exploration (IJATEE) Journal of Electrical Systems (JES), Journal of Advances in Information Technology (JAIT) and Informing Science Journal.

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