Computing Technologies and Applications (eBook, ePUB)

Paving Path Towards Society 5.0
Redaktion: Malik, Latesh; Bhagat, Indu; Ingle, Maya; Shrawankar, Urmila; Arora, Sandhya

• Format: ePub

Produktbeschreibung

The book focuses on suggesting software solutions for supporting societal issues such as health care, learning and monitoring mythology for disables and also technical solutions for better living. It also has the high potential to be used as recommended textbook for research scholars and post-graduate programs.

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Produktdetails

• Verlag: Taylor & Francis
• Seitenzahl: 358
• Erscheinungstermin: 9. November 2021
• Englisch
• ISBN-13: 9781000473513
• Artikelnr.: 62613252

Autorenporträt

Dr. Latesh Malik is working as Associate Professor & Head,Department of Computer Science & Engg, Government College of Engineering, Nagpur. She has completed Ph.D. (Computer Science & Engineering) from Visvesyaraya National Institute of Technology in 2010, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India . She is gold medalist in B.E. and M.Tech. She has teaching experience of 20+ years. She is life member of ISTE, CSI, ACM and has more than 160 papers published in International Journal & Conferences. She is recipient of 2 RPS and 1 MODROBs by AICTE. She guided 30+ PG projects and 8 students completed Ph.D under her. She is author of two books " Practical guide to distributed systems in MPI" and "Python for Data Analysis" on Amazon Kindle Direct Publishing. Dr. Sandhya Arora is working as Professor, Department of Computer Enginering, MKSSS's Cummins College of Engineering for Women, Pune. She has completed Ph.D. (Computer Science & Engineering) from Jadavpur University, Kolkata in 2012, M.Tech. (Computer Science & Engineering) from Banasthali Vidyapith, Rajasthan, India and B.E. (Computer Engineering) from University of Rajasthan, India. She has rich teaching experience of 22+ years. She is life member of ISTE, CSI, ACM and has published papers in thoroughly acclaimed International Journal & Conferences. She is guiding PG and PhD students. She has received prestigious awards in the field of Computer Science. She authored two books "Practical guide to distributed systems in MPI" and "Python for Data Analysis" on Amazon Kindle Direct Publishing. Dr Urmila Shrawankar received her PhD in Computer Sci & Engg from SGB Amravati University and M.Tech. degree in Computer Sci & Engg from RTM Nagpur university.. She is author of two books, six book chapters and more than 160 research papers in International Journals and Conferences of high repute. She has published 16 patents. Her biography was selected and published in the Marquis Who's Who in the World. She is recipient of International travel grant and UGC Minor Project Grant. She participated in many International conferences worldwide as a core organizing committee member, Technical program committee member, Special session chair and Session Chair. Dr Urmila is member of IEEE (SM), ACM, CSI (LM), ISTE(LM), IE( LM), IAENG, etc. At present, Dr. Urmila is working as a Professor in Department of Computer Science and Engineering, G H Raisoni College of Engineering, RTM Nagpur University Nagpur (MS), India. Dr. Maya Ingle is working as Director, DDU-Kaushal Kendra (A Scheme of Skill Development of UGC) at DAVV, Indore. Also, worked as Nodal Person, Model Career Centre (Under Ministry of Labour & Employment, Govt. of India) at DAVV, Indore. Also, worked as Dean, Student Welfare, DAVV, Indore from year 2006 to year 2009. She has guided 16 research scholars have been awarded Ph. D and 6 pursuing presently and more than 200 research papers have been published in International/ National Journals and Conferences . She has visited as an Expert (and sometimes Chairman) in National Board of Accreditation (NBA) in all over India since past 10 years. She is Associated with the organizations that help to promote higher education in Visually Challenged students and engaged with the activities to encourage the children deprived of education due to financial crisis and the organizations who help to promote basic education for street children. Dr. Indu Bhagat is Principal Member of Technical Staff at Oracle Canada. She currently contributes to the compiler and toolchain components of Oracle Linux. She has a PhD degree in Computer Science specializing in Computer Architecture from UPC, Barcelona, Spain. She received her Bachelor of Technology degree (in Computer Science and Engg) from Indian Institute of Technology, Varanasi, India. She has 14 years of industry and academic experience in system software and hardware development and research. Her contributions have ranged from low-level hardware architecture design, compiler support, to higher level application stack (query execution software, database management systems). Her research and industry contributions have been accepted as ACM and IEEE publications and a patent. She has also served as a reviewer in various international conferences.

Inhaltsangabe

Section 1. Cloud Computing 1. Cloud Management and Operations 2. Real Time
Edge Computing 3. Fog Computing: Architecture, Issues, Challenges,
Applications and Case Study 4. Mobile Web Service Architecture in Cloud
Environment Section 2. Internet of Things 5. Internet of Things: essential
IoT business guide with Different Case studies 6. Research issues in IOT 7.
Intrusion Detection Systems for Internet of Things: Techniques, Datasets
and Challenges 8. Case study of Smart Farming using IoT Section 3. Data
Science, Deep Learning and Machine Learning 9. Stochastic Computing for
Deep Neural Network 10. Convolution Neural Network and its Advances:
Overview and Applications 11. Convolutional Neural Network: A Systematic
Review and its Application using Keras 12. Big data Analytics:
Applications, issues and challenges 13. AR Powered Computer Science
Education 14. Information Technology for Decision Support in College Degree
Planning 15. Attention-Based Image Captioning and Evalution Methods 16.
Smart vehicle monitoring and control using Arduino and Machine Learning: A
case Study 17. Deep Learning approach to Pedestrian Detection: An
Evaluation of the State of the Art 18. Crop Yield Forecast Using Hybrid
Framework Of Deep CNN With RNN Technique