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  • Conference proceedings
  • © 2022

Advanced Computing and Intelligent Technologies

Proceedings of ICACIT 2021

  • Presents high-quality research papers in advanced computing and intelligent technologies
  • Features the outcomes of ICACIT 2021 held in New Delhi, India
  • Serves as a reference resource for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 218)

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Table of contents (48 papers)

  1. Front Matter

    Pages i-xxviii
  2. Recent Trends in Electromyography Signal Processing of Neuromuscular Diseases: An Outlook

    • M. Emimal, W. Jino Hans, T. M. Inbamalar, N. Mahiban Lindsay
    Pages 1-13
  3. Conceptualization, Visualization, and Modeling of Ontologies for Elementary Kinematics

    • C S Nandhakishore, Gerard Deepak, A. Santhanavijayan
    Pages 15-23
  4. A Deep Neural Approach Toward Staining and Tinting of Monochrome Images

    • Debosmit Neogi, Nataraj Das, Suman Deb
    Pages 25-36
  5. Evaluation of IoT Based Automatic Headlight Dimmer Systems

    • Kanika Gandhi, Karanpartap Singh Aulakh, Jobanpreet Singh Thind, Gurpreet Singh Kharoud, Seemu Sharma
    Pages 37-57
  6. Malware Classification Using Automated Transmutation and CNN

    • Ritu Agarwal, Saurabh Patel, Sparsh Katiyar, Sharad Nailwal
    Pages 73-81
  7. Content-Based Image Retrieval Using Energy-Based Frequency Domain Features

    • Hillol Barman, Netalkar Rohan Kishor, U. S. N. Raju, Debanjan Pathak, Sweta Panigrahi
    Pages 83-98
  8. Recognizing Child Unsafe Apps Through User Reviews on the Google Play Store

    • Ashwini Dalvi, Irfan Siddavatam, Viraj Thakkar, Aditya Vedpathak, Abhishek Patel
    Pages 111-120
  9. Brain Tumor Classification Using Deep Learning and Big Data Analytics

    • V. P. Arathi, Gayathri Suresh, T. H. Harikrishna, A. G. Hari Narayanan
    Pages 121-129
  10. Drone Stability Simulation Using ROS and Gazebo

    • Rajesh Kannan Megalingam, Darla Vineeth Prithvi, Nimmala Chaitanya Sai Kumar, Vijay Egumadiri
    Pages 131-143
  11. RFM-Based Customer Analysis and Product Recommendation System

    • Rahul Krishnan, Prashant R. Nair
    Pages 159-164
  12. Stock Direction Prediction Using Sentiment Analysis of News Articles

    • Nipun Jain, Mohit Motiani, Preeti Kaur
    Pages 195-206
  13. Analysis and Prediction of COVID-19 Confirmed Cases Using Deep Learning Models: A Comparative Study

    • Trisha Sinha, Titash Chowdhury, Rabindra Nath Shaw, Ankush Ghosh
    Pages 207-218
  14. Machine Learning Technique to Prognosis Diabetes Disease: Random Forest Classifier Approach

    • Prajyot Palimkar, Rabindra Nath Shaw, Ankush Ghosh
    Pages 219-244
  15. A Low Cost and Enhanced Assistive Environment for People with Vision Loss

    • Tushar Vashisth, Ritika Khareta, Nishi Bhati, Venkata Chanakya Samsani, Shanu Sharma
    Pages 245-255

About this book

This book gathers selected high-quality research papers presented at International Conference on Advanced Computing and Intelligent Technologies (ICACIT 2021) held at NCR New Delhi, India, during March 20–21, 2021, jointly organized by Galgotias University, India, and Department of Information Engineering and Mathematics Università Di Siena, Italy. It discusses emerging topics pertaining to advanced computing, intelligent technologies, and networks including AI and machine learning, data mining, big data analytics, high-performance computing network performance analysis, Internet of things networks, wireless sensor networks, and others. The book offers a valuable asset for researchers from both academia and industries involved in advanced studies.

Editors and Affiliations

  • Department of Information Engineering and Mathematics, University of Siena, Siena, Italy

    Monica Bianchini

  • Department of Computer Science, University of Milan, Milan, Italy

    Vincenzo Piuri

  • Regional Campus Manipur, Indira Gandhi National Tribal University, Imphal, India

    Sanjoy Das

  • School of Electrical and Electronic Engineering, Galgotias University, Greater Noida, India

    Rabindra Nath Shaw

About the editors

Monica Bianchini received the Laurea cum laude in Mathematics and the Ph.D. degree in Computer Science from the University of Florence, Italy, in 1989 and 1995, respectively. After receiving the Laurea, for two years, she was involved in a joint project of Bull HN Italia and the Department of Mathematics (University of Florence), aimed at designing parallel software for solving differential equations. From 1992 to 1998, she was a Ph.D. student and a Postdoc Fellow with the Computer Science Department of the University of Florence. Since 1999, she has been with the University of Siena, where she is currently Associate Professor at the Information Engineering and Mathematics Department. Her main research interest is in the field of artificial intelligence & applications, machine learning, with emphasis on neural networks for structured data and deep learning, approximation theory, information retrieval, bioinformatics, and image processing. M. Bianchini has authored more than seventy papers and has been Editor of books and special issues on international journals in her research field. She has been a participant in many research projects focused on machine learning and pattern recognition, founded by both Italian Ministry of Education (MIUR) and University of Siena (PAR scheme), and she has been involved in the organization of several scientific events, including the NATO Advanced Workshop on Limitations and Future Trends in Neural Computation (2001), the 8th AI*IA Conference (2002), GIRPR 2012, the 25th International Symposium on Logic-Based Program Synthesis and Transformation, and the ACM International Conference on Computing Frontiers 2017. Prof. Bianchini served as  Associate Editor for IEEE Transactions on Neural Networks (2003-09), Neurocomputing (from 2002), and Int. J. of Computers in Healthcare (from 2010). She is Permanent Member of the Editorial Board of IJCNN, ICANN, ICPR, ICPRAM, ESANN, ANNPR, and KES.

 

Vincenzo Piuri is Professor at the University of Milan, Italy (since 2000). He was Associate Professor at Politecnico di Milano, Italy, Visiting Professor at the University of Texas at Austin, USA, and  Visiting Researcher at George Mason University, USA. He has founded a start-up company in the area of intelligent systems for industrial applications and is active in industrial research projects. He received his M.S. and Ph.D. in Computer Engineering from Politecnico di Milano, Italy. His main research and industrial application interests are artificial intelligence, intelligent systems, computational intelligence, pattern analysis and recognition, machine learning, signal and image processing, biometrics, intelligent measurement systems, industrial applications, distributed processing systems, Internet of things, cloud computing, fault tolerance, application-specific digital processing architectures, and arithmetic architectures. He published over 400 papers in international journals, international conference proceedings, and books. He is Fellow of the IEEE and Distinguished Scientist of ACM. He has been IEEE Vice President for Technical Activities (2015), Member of the IEEE Board of Directors (2010–2012, 2015), and President of the IEEE Computational Intelligence Society (2006–2007). He is Editor-in-Chief of the IEEE Systems Journal (2013–2019).

 

Sanjoy Das is currently working as  Associate Professor, Department of Computer Science, Indira Gandhi National Tribal University (A Central Government University), Amarkantak, M.P. (Manipur Campus), India. He received his Ph.D. in Computer Science from Jawaharlal Nehru University, New Delhi, India. Before joining IGNTU, he has worked as Associate Professor, School of Computing Science and Engineering, Galgotias University, India, from July 2012 to September 2017. Also, as Assistant Professor G. B. Pant Engineering College, Uttarakhand, and Assam University, Silchar, from 2001 to 2008. His current research interest includes mobile ad hoc networks and vehicular ad hoc networks, distributed systems, and data mining. He has published numerous papers in international journals and conferences including IEEE and Springer.

 

Rabindra Nath Shaw is a Senior Member of IEEE (USA), currently holding the post of Director, International Relations, Galgotias University India. Dr. Shaw is an alumnus of the applied physics department, University of Calcutta, India. . He has more than eleven years of teaching experience in leading institutes like Motilal Nehru National Institute of Technology Allahabad, India, Jadavpur University, and others at UG and PG level. He has successfully organized more than fifteen International conferences as Conference Chair, Publication Chair, and Editor. He has published more than hundred Scopus/ WoS/ ISI indexed research papers in International Journals and Conference Proceedings. He is the editor of several Springer and Elsevier books. His primary area of research is optimization algorithms and machine learning techniques for power systems, IoT applications, Renewable Energy, and Power electronics converters. He also worked as University Examination Coordinator, University MOOC’s Coordinator, University Conference Coordinator, and Faculty- In Charge, Centre of Excellence for Power Engineering and Clean Energy Integration. 


Bibliographic Information

Buy it now

Buying options

eBook USD 169.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 219.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Other ways to access