Advanced Systems for Monitoring Carbon Sequestration. Cet article n’est pas disponible.Advanced Systems for Monitoring Carbon Sequestration

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.

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.