Cantitate/Preț
Produs

Foundations of Mathematical Modelling for Engineering Problem Solving: Studies in Autonomic, Data-driven and Industrial Computing

Autor Parikshit Narendra Mahalle, Nancy Ambritta P., Sachin R. Sakhare, Atul P. Kulkarni
en Limba Engleză Hardback – 11 ian 2023
This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.
Citește tot Restrânge

Din seria Studies in Autonomic, Data-driven and Industrial Computing

Preț: 102395 lei

Preț vechi: 127994 lei
-20%

Puncte Express: 1536

Carte disponibilă

Livrare economică 28 noiembrie-12 decembrie

Livrare prin curier în România Termenul estimat este afișat lângă disponibilitate.
Transport gratuit pentru acest produs Plată online sau ramburs, în funcție de opțiunile comenzii.
Retur gratuit în 14 zile Comandă securizată și suport în română.

Specificații

ISBN-13: 9789811988271
ISBN-10: 9811988277
Pagini: 180
Ilustrații: XI, 168 p. 74 illus., 62 illus. in color.
Dimensiuni: 160 x 241 x 15 mm
Greutate: 0.42 kg
Ediția:1st ed. 2023
Editura: Springer
Colecția Studies in Autonomic, Data-driven and Industrial Computing
Seria Studies in Autonomic, Data-driven and Industrial Computing

Locul publicării:Singapore, Singapore

Cuprins

Introduction.- Problem Solving and Mathematical Modelling.- Decision Problems.- Optimization Problems.- Delay Model Problems.

Notă biografică

Dr. Parikshit N. Mahalle obtained B.E. degree in Computer Engineering from Amravati University, M.E. degree from SPPU, Pune, and Ph.D. in specialization in Wireless Communication from Aalborg University, Denmark. He was Postdoctoral Researcher at CMI, Aalborg University, Copenhagen. Currently, he is working as Professor and Head in the Department of Artificial intelligence and Data Science at Vishwakarma Institute of Information Technology and is recognized as Ph.D. Guide of SSPU Pune. He has 20 years of teaching and research experience. He is on Research and Recognition Committee at several universities. He is Senior Member of IEEE and ACM and Life member of CSI and ISTE. He is Reviewer and Editor of ACM, Springer, Elsevier Journals and Member of Editorial Review Board for IGI Global. He has published 150+ publications with 1242 citations and H index 14. He edited 5 books and authored 13 books and 7 patents to his credit. He has published a book on Data Analytics forCOVID-19 Outbreak. He has delivered 100+ lectures at national and international levels on IoT, big data and digitization. He had worked as BOS-Chairman for Information Technology and working as Member-BOS Computer Engineering, SPPU, and several other institutions also. He received "Best Faculty Award" by Sinhgad Institutes and Cognizant Technologies Solutions.
Dr. Gitanjali R. Shinde has overall 12 years of experience and is presently working as SPPU-approved Assistant Professor in the Department of Computer Engineering, Smt. Kashibai Navale College of Engineering, Pune-41. She has done Ph.D. in Wireless Communication from CMI, Aalborg University, Copenhagen, Denmark, on Research Problem Statement "Cluster Framework for Internet of People, Things and Services"-Ph.D. awarded on May 8, 2018. She obtained M.E. (Computer Engineering) degree from University of Pune, Pune, in 2012 and B.E. (Computer Engineering) degree from University of Pune, Pune, in 2006. She has received research funding for project "lightweight group authentication for IoT" by SPPU, Pune. She has presented research article in World Wireless Research Forum (WWRF) meeting, Beijing, China. She has published 50+ papers in national and international conferences and journals. She is an author of 5+ books with publisher like Springer Nature and CRC Taylor & Francis Group. She is also Editor of books with De Gruyter and Springer Nature Press. She is Reviewer of prominent journal IGI publication and IEEE Transactions.
Dr. Priya Dudhale Pise has 16 years of experience. She has done her Ph.D. in Cloud Computing and Big Data Security from JJTU, Rajasthan, with tittle "Sensitive Data Sharing Securely in Big Data for Privacy Preservation on Recent Operating Systems"-Ph.D. awarded on November 25, 2018. She has pursued her B.E. in Information Technology from MIT Kothrud (SPPU) and Master's degree M.E. in Computer Engineering from MIT Alandi (SPPU) in 2012. She won "Best Technical Paper Award" for 2 national and 1 international conferences. She has bagged "Backbone of Indian Technical Academics" in December 2018. She is an author of a book on "Fundamentals of Data Structures." She also has published one national and one international patent on her name. She recently has presented her research article in ACM International Conference held in University of Cambridge, London, UK. She has presented 50+ papers in national and international conferences and journals. She is an editorial member of one of the renowned journal.
Ms. Jyoti Yogesh Deshmukh has overall 11 years of experience and is presently working as SPPU-approved Assistant Professor in the Department of Computer Engineering, JSPM's Bhivarabai Sawant Institute of Technology and Research, Wagholi, Pune-412207. She is pursuing her Ph.D. in Cloud Computing and Data Security from JJTU, Rajasthan, on Research Problem Statement "Message Privacy with LoadBalancing Using Attribute-Based Encryp

Textul de pe ultima copertă

This book aims at improving the mathematical modelling skills of users by enhancing the ability to understand, connect, apply and use the mathematical concepts to the problem at hand. This book provides the readers with an in-depth knowledge of the various categories/classes of research problems that professionals, researchers and students might encounter following which the applications of appropriate mathematical models is explained with the help of case studies. The book is targeted at academicians, researchers, students and professionals who belong to all engineering disciplines.

Caracteristici

Provides illustrations and pseudocode for better understanding and applicability Elaborates on the problem solving and mathematical modeling processes Equips the readers with the ability to identify and categorize the problems at hand making it an effortless task