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Emerging Trends, Techniques, and Applications in Geospatial Data Science by Love

Description: Emerging Trends, Techniques, and Applications in Geospatial Data Science by Loveleen Gaur, PK Garg Estimated delivery 3-12 business days Format Hardcover Condition Brand New Description Provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book offers a detailed description of using AI, the internet of things, and machine learning to deal with the analysis, modeling, and predictions from big data. Publisher Description With the emergence of smart technology and automated systems in todays world, big data is being incorporated into many applications. Trends in data can be detected and objects can be tracked based on the real-time data that is utilized in everyday life. These connected sensor devices and objects will provide a large amount of data that is to be analyzed quickly, as it can accelerate the transformation of smart technology. The accuracy of prediction of artificial intelligence (AI) systems is drastically increasing by using machine learning and other probability and statistical approaches. Big data and geospatial data help to solve complex issues and play a vital role in future applications. Emerging Trends, Techniques, and Applications in Geospatial Data Science provides an overview of the basic concepts of data science, related tools and technologies, and algorithms for managing the relevant challenges in real-time application domains. The book covers a detailed description for readers with practical ideas using AI, the internet of things (IoT), and machine learning to deal with the analysis, modeling, and predictions from big data. Covering topics such as field spectra, high-resolution sensing imagery, and spatiotemporal data engineering, this premier reference source is an excellent resource for data scientists, computer and IT professionals, managers, mathematicians and statisticians, health professionals, technology developers, students and educators of higher education, librarians, researchers, and academicians. Author Biography Loveleen Gaur is currently working as Professor of Artificial Intelligence and Data Analytics at Amity International Business School, Amity University, India. She is also an adjunct professor with Taylor University, Malaysia. She is in the editorial board of various reputed SCIE journal and reviewer with Q1 journals. She is supervising several PhD scholars, Post Graduate students, mainly in Artificial Intelligence and Data Analytics for business and healthcare. Under her guidance, the AI/Data Analytics research cluster has published extensively in high impact factor journals and has established extensive research collaboration globally with several renowned professionals. She is a senior IEEE member and Series Editor with CRC and Wiley. She has high indexed publications in SCI/ABDC/WoS/Scopus and has several Patents/copyrights on her account, edited/authored many research books published by world-class publishers. She has excellent experience in supervising and co-supervising postgraduate students internationally. An ample number of Ph.D. and masters students graduated under her supervision. She is an external Ph.D./Master thesis examiner/evaluator for several universities globally. She has also served as Keynote speaker for several international conferences, presented several Webinars worldwide, chaired international conference sessions.(f62b0f94-79e9-41ce-b4a3-01d84272442e) Details ISBN 1668473194 ISBN-13 9781668473191 Title Emerging Trends, Techniques, and Applications in Geospatial Data Science Author Loveleen Gaur, PK Garg Format Hardcover Year 2023 Pages 309 Publisher IGI Global GE_Item_ID:141997585; About Us Grand Eagle Retail is the ideal place for all your shopping needs! With fast shipping, low prices, friendly service and over 1,000,000 in stock items - you're bound to find what you want, at a price you'll love! Shipping & Delivery Times Shipping is FREE to any address in USA. Please view eBay estimated delivery times at the top of the listing. Deliveries are made by either USPS or Courier. We are unable to deliver faster than stated. International deliveries will take 1-6 weeks. NOTE: We are unable to offer combined shipping for multiple items purchased. This is because our items are shipped from different locations. Returns If you wish to return an item, please consult our Returns Policy as below: Please contact Customer Services and request "Return Authorisation" before you send your item back to us. Unauthorised returns will not be accepted. Returns must be postmarked within 4 business days of authorisation and must be in resellable condition. Returns are shipped at the customer's risk. We cannot take responsibility for items which are lost or damaged in transit. For purchases where a shipping charge was paid, there will be no refund of the original shipping charge. Additional Questions If you have any questions please feel free to Contact Us. Categories Baby Books Electronics Fashion Games Health & Beauty Home, Garden & Pets Movies Music Sports & Outdoors Toys

Price: 325.32 USD

Location: Fairfield, Ohio

End Time: 2024-08-11T03:23:28.000Z

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Emerging Trends, Techniques, and Applications in Geospatial Data Science by Love

Item Specifics

Restocking Fee: No

Return shipping will be paid by: Buyer

All returns accepted: Returns Accepted

Item must be returned within: 30 Days

Refund will be given as: Money Back

ISBN-13: 9781668473191

Book Title: Emerging Trends, Techniques, and Applications in Geospatial Data

Item Length: 11 in

Item Width: 8.5 in

Author: P. K. Garg

Publication Name: Emerging Trends, Techniques, and Applications in Geospatial Data Science

Format: Hardcover

Language: English

Subject: Earth Sciences / Geography, Data Visualization, Remote Sensing & Geographic Information Systems, Data Processing

Publisher: IGI Global

Publication Year: 2023

Series: Advances in Geospatial Technologies Ser.

Type: Textbook

Subject Area: Computers, Technology & Engineering, Science

Number of Pages: 300 Pages

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