Inhaltsangabe
Weather forecasting and climate behavioral analysis have traditionally been done using complicated physics models and accompanying atmospheric variables. However, the traditional approaches lack common tools, which can lead to incomplete information about the weather and climate conditions, in turn affecting the prediction accuracy rate. To address these problems, the advanced technological aspects through the spectrum of artificial intelligence of things (AIoT) models serve as a budding solution. Further study on artificial intelligence of things and how it can be utilized to improve weather forecasting and climatic behavioral analysis is crucial to appropriately employ the technology. Artificial Intelligence of Things for Weather Forecasting and Climatic Behavioral Analysis discusses practical applications of artificial intelligence of things for interpretation of weather patterns and how weather information can be used to make critical decisions about harvesting, aviation, etc. This book also considers artificial intelligence of things issues such as managing natural disasters that impact the lives of millions. Covering topics such as deep learning, remote sensing, and meteorological applications, this reference work is ideal for data scientists, industry professionals, researchers, academicians, scholars, practitioners, instructors, and students.
Über die Autorinnen und Autoren
Rajeev Kumar Gupta is working as an Assistant Professor at Pandit Deendayal Energy University (An Autonomous Institution) Gandhinagar, Gujarat. He has completed his M.Tech and PhD from MANIT, Bhopal and is a recipient of the Best Young Researcher Award by RSRI in 2019. He has published more than 30 referred articles in various book chapters, conferences and international repute peer-reviewed journals of Elsevier, Springer, IEEE etc. He has a total of more than ten years of teaching experience. He is a life member of some of the reputed societies like CSI India, IAENG (Hongkong) etc. He has organized several STTP/FDP and taken several expert lectures at various institutes. He has supervised 20 M.Tech thesis and around 40 B.Tech projects in various domains. He is a TPC member and reviewer of several International Conferences. His area of interest includes Machine Learning, Deep Learning and Cloud computing.
Arti Jain is working as Assistant Professor (Sr. Grade) in the Department of Computer Science & Engineering and Information Technology, Jaypee Institute of Information Technology, Noida, Uttar Pradesh, India. She has 20+ years of academic experience. She is a Sr. Member of IEEE, member of IAENG, INSTICC, IFERP, and TERA. She is an editorial board member of several IGI Global journals. She is an International scientific committee member of International Conferences held in Turkey, Portugal, Maldives, and UAE. She has served as a reviewer of reputed and peer-reviewed International Journals and has guest-edited Special Issues. She is a PC member of many International Conferences and has Chaired Special Sessions. She is an invited speaker for various workshops, seminars, FDPs, and conferences affiliated with India, China, UK, and USA. She has published 02 books, and 35 research papers in indexed international journals, book chapters, and conferences. She is supervising 2 Ph.D. candidates. Her research interests include natural language processing, machine learning, data science, deep learning, social media analytics, soft computing, big data, and data mining.
John Wang is a professor in the Department of Information Management and Business Analytics at Montclair State University, USA. Having received a scholarship award, he came to the USA and completed his PhD in operations research from Temple University. Due to his extraordinary contributions beyond a tenured full professor, Dr. Wang has been honored with two special range adjustments in 2006 and 2009, respectively. He has published over 100 refereed papers and seventeen books. He has also developed several computer software programs based on his research findings. He serves as Editor-in-Chief for ten Scopus-indexed journals, such as Int. J. of Business Analytics, Int. J. of Information Systems and Supply Chain Management, Int. J. of Information Systems in the Service Sector, Int. J. of Applied Management, Int. J. of Information and Decision Sciences, Int. J. of Data Mining, Modelling and Management, etc. He is the Editor of Encyclopedia of Business Analytics and Optimization (five volumes), Data Warehousing and Mining: Concepts, Methodologies, Tools, and Applications (six-volume) and the Editor of the Encyclopedia of Data Warehousing and Mining, 1st (two-volume) and 2nd (four-volume). His long-term research goal is on the synergy of operations research, data mining and cybernetics.
Ved Prakash Singh is working as Scientist at Bhopal center of India Meteorological Department, Ministry of Earth Sciences, Government of India. He is heading the Radar, Instrumentation, Seismology and Hydro-meteorological operations of Madhya Pradesh State. He pursued B.Tech. in computer science from Indian Institute of Technology (BHU), Varanasi, India in 2012 and is about to complete Ph.D. in Advanced Machine Learning from Indian Institute of Technology, Patna, India. Earlier, he served as senior software engineer at Samsung R&D Labs, Bangalore and Seoul, South Korea during 2012-2015 and also, as senior member of the engineering team at Hike Ltd. New Delhi in 2015. Initially, He cleared the UPSC (Indian Meteorological Services) exam in 2015 to join IMD. He has been working in the domain of Artificial Intelligence, Advance Machine Learning, Radical Learning, Climate Sc., GIS, Radar & Satellite Meteorology and Agro-meteorology etc. He has vast professional experience of more than 10 years in R&D and service operations. He is life member of several national and international societies such as AMS, IMS and ACM etc. He got awarded several reputed titles at several national and international platforms. He received the title of 'Best employee' by Samsung R&D labs, India in 2014, 'Hikeathon' for best innovation by Hike, Delhi in 2015, Young Scientist Award' in iRad-2019 at IITM, Pune, further by MPCST, Bhopal in 2019 and Best paper award in IISF-2018, Lucknow. Recently, he received 'Best Group-A Officer' award across India on the occasion of 142 Foundation Day of IMD, New Delhi. He has published many emerging art research works, book chapters, social articles etc. in reputed conferences & journals of Govt. of Mausam, Springer, IEEE etc. He is member of AI/ ML, GIS and Radar application groups of IMD and leading many projects in interdisciplinary domains such as Agro-GS, Lightning prediction etc. He is also IMD representative of ML/ DL working group at MoES, Govt. of India. He has been supervising graduate & post-graduate students including the internship, thesis and professional training of students from meteorology, engineering and health domain across various tier-1 organizations including NITs, IITs and AIIMS. He has also filed several patents in the weather and IT security domain and developed many cutting edge designs and architectures in multimedia and ML streams such as Context awareness, Auto-Wind cut, Time-lapse, swift event recording, sticker recommendation, IM chat search engine, 3D wind recorder etc. He participated in training programs of several national and international organizations such as training on Radar and Satellite in IMD, IIT-Kharagpur, IIT-Chennai and on severe weather and disaster management in CMA, China and JICA, Hokka do, Japan. He was part of the young leaders team of India in 2017 for the Japan-India Cooperation program. He is also an active contributor to various world open-source communities.
Santosh Kumar Bharti received B. E degree in CSE from Visvesvaraya Technological University Belgaum, Karnataka, India, and M. Tech.in CSE from Graphic Era University, Dehradun, India. He has completed his Ph.D.(CSE) from the National Institute of Technology Rourkela India in April 2019. He has worked as Assistant Professor in SCET, Palwal, Haryana. Currently, he is working as an Assistant Professor in the Department of Computer Science and Engineering at the School of Technology of Pandit Deendayal Petroleum University, Gandhinagar Gujarat. He has published more than 25 research papers in repute journals and conferences.
„Über diesen Titel“ kann sich auf eine andere Ausgabe dieses Titels beziehen.
