Emerging AI Applications in Earth Sciences: Challenges, Impact and Analysis (Sustainable Artificial Intelligence-Powered Applications)

This proposed book provides deeper insights into artificial intelligence techniques and procedures available for earth sciences. This book unveils several applications of metaheuristic approaches (i.e., swarm intelligence and IoT technologies) in collaboration with AI for earth sciences. It presents the science behind smart technologies that reveal the power of artificial intelligence and IoT. These methodologies help to extract meaningful insights from earth sciences big data analytics. These advanced technologies used in earth science practices can remove geographical barriers, locally adaptive, operationally feasible, and economically affordable. The areas can be explored with the aim of digitizing the whole world. Technological advancement also impacts the financial aspect involved in managing the earth sciences. Intelligent AI applications have made significant strides in the field of earth sciences, offering novel solutions to complex challenges, driving impactful research, and revolutionizing data analysis and interpretation. This intersection of artificial intelligence and earth sciences has paved the way for an enhanced understanding of our planet and its various phenomena.

Dr. Chander Prabha is a professor in the Department of Computer Science and Engineering at Chitkara University Institute of Engineering and Technology, Chitkara University, Punjab, India.  She has published many book chapters in CRC Press and Elsevier. She has more than 100 publications in her credits. She is the guest editor of the Journal of Artificial Intelligence and the Internet of Things, Near East University, Turkey. She has also been a reviewer at many international conferences and journals of repute. Many online certifications and patents are included in her credit. She is a lifetime member of educational societies like ISTE, IAENG, SCIEI, IIRJC, IACSIT, etc. Her areas of interest are wireless and mobile network architectures, protocols, performance evaluations, machine learning, data analytics, and law. 

Md. Mehedi Hassan has completed M.Sc. in Computer Science and Engineering, Khulna University, Khulna, Bangladesh. He conducts research in the disciplines of biomedical engineering and data science. His research interests are predictive analysis and expert system development. He has 52 publications with two books and he is working as a peer reviewer to more than 57 prestigious journals. He collaborates with internal researchers because he believes that without research, innovation is impossible. He is a trainer for the course platform VCourse. In the past two years, he has trained more than 250 students. He has led more than three patents out of which three were granted to his name.

Farhana Yasmin is a Ph.D. student of School of Computer and Software, Nanjing University of Information Science and Technology, Nanjing, 210044, China. She received the B.Sc. degree from the Department of Computer Science and Engineering, Eastern University, Bangladesh. She completed M.Sc. degree in computer application and technology with Changzhou University, China. She is an expert in computer vision, biomedical engineering, and data science, all of which fall under the broad umbrella of artificial intelligence (AI). Two of her primary research interests are in predictive analysis and the development of expert systems. She works with scientists from all around the world to broaden her horizons and increase the depth of her expertise.

Dr. Asif Karim (Member, IEEE) is currently a researcher and a lecturer at Charles Darwin University, Australia. Alongside being an active researcher, he has considerable industry experience in IT, primarily in the field of software engineering. His research interests include machine intelligence, health informatics, and smart contracts.