Enhancing Operational Efficiency and Predictive Maintenance Through Digital Innovation
Language: English
Published by IGI Global, 2025
- Softcover
- New

Seller: preigu, Osnabrück, Germanypreigu
AbeBooks seller since August 5, 2024
Condition: New
£ 167.98
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Add to basketItem description from seller
Seller Inventory # 134040619
- Title
- Enhancing Operational Efficiency and Predictive Maintenance Through Digital Innovation
- Author
- Minakshi (u. a.)
- Publisher
- IGI Global
- Publication year
- 2025
- Condition
- Neu
- Binding
- Taschenbuch
- Language
- English
- ISBN 13
- 9798337324753
- Item weight
- 692 grams
- Dimensions
- 254 x 178 x 20 mm
- Seller catalogs
- Bücher
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About the Author
Tarun Kumar received his Ph.D. degree from the National Institute of Technology Patna, Bihar, India. Dr. Kumar has more than 20 years of experience in teaching and is currently working as an Associate Professor in the School of Computer Science at the University of Petroleum and Energy Studies (UPES), Dehradun, India. His research interests include cloud computing, IoT, and DNA computing. Dr. Kumar has published several edited books, book chapters, patents and papers in conference proceedings and refereed journals. He has also participated in many international conferences as an organizer and session chair. Dr. Kumar is a senior member of IEEE, ACM, IEEE Computer Society, and a Member IEEE Computational Intelligence Society. Dr. Kumar brings a holistic approach to education, fostering student success through quality instruction and innovative pedagogical methods.
Dr. Madhulika Bhatia is working as Software Development Officer with Digital Healthcare Wales, UK. She holds a Diploma in Computer Science and Engineering, B.E in Computer Science and Engineering, MBA in Information Technology, M. Tech in Computer Science and PhD from Amity University, Noida. She has a total of 18 years of teaching experience. She published almost 58 Research Papers in National, International conferences and Journals. She is also the author of two books. She Filed two Provisional Patent. She attended and organized many workshops, Guest Lectures, seminars. She is also a member of many technical societies like IET, ACM, UACEE, IEEE She reviewed for Elsevier-Heliyon, IGI, IEEE ACCESS, and as well as did Editorial for Springer Nature, Switzerland. She has guided 12 M.Tech. Thesis and around 50 B. Tech. Major and Minor Projects and guiding PhD scholars, Research collaborations. She delivered Expert talks and hands on sessions in AICTE Sponsored workshops in collaboration with IIT Roorkie. She was also invited for Expert talk by NIFT, Patna.She has international exposure on various Projects and Research collaborations with University of Cape Town, South Africa and Lancaster University, UK. She was also invited as Visiting researcher by Cardiff Metropolitan University, UK. She is pursuing her Post doctorate Federal University of Ceira, Brazil.
Dr. Ranjna Jain is an Associate Professor at Manav Rachna University, Faridabad, with over 14 years of experience in the field of Computer Science and Technology. She holds a Ph.D., M.Tech from J.C. Bose University of Science & Technology, YMCA and B.E. from MDU. Her research interests lie in Information Retrieval, Semantic Web, Ontologies, Machine Learning, and Deep Learning. She has published research in various reputable journals indexed in Scopus, WoS, and other databases, focusing on ontology alignment, semantic search engines, and data mining. She has participated in numerous Faculty Development Programs (FDPs), workshops, and conferences, covering topics from Wireless Networks and the Internet of Things to Data Science and Artificial Intelligence. She has patent for a “Smart Device for Mental Health Assessment,” granted on November 23, 2023.
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Shipping rates from Germany to U.S.A.
| Item | 60 to 60 business days | 60 to 60 business days |
|---|---|---|
| First item | £ 60.15 | £ 60.15 |
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Instructions for revocation
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You have the right to revoke this contract within 14 days without specifying any reasons.
The revocation period is 14 days with effect from the day,
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on which you or a third party nominated by you, which is not the carrier, had taken possession of the products, provided you had ordered one or more products within the scope of a standard order and this/these product/products is/are delivered uniformly;
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Specimen - revocation form
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To preigu GmbH & Co. KG, Lengericher Landstr. 19, 49078 Osnabrück, Email address: mail@preigu.de :
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I/we () herewith revoke the contract concluded by me/ us () regarding the purchase of the following products ()/
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