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  • Conference proceedings
  • © 2023

Proceedings of Data Analytics and Management

ICDAM 2022

  • Presents research works in the field of data analytics and management
  • Provides original works presented at ICDAM 2022 held at the Karkonosze University of Applied Sciences, Poland
  • Serves as a reference for researchers and practitioners in academia and industry

Part of the book series: Lecture Notes in Networks and Systems (LNNS, volume 572)

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Table of contents (71 papers)

  1. Front Matter

    Pages i-xxxiv
  2. Penetration Testing in Application Using TestNG Tool

    • Bhawna Sharma, Rahul Johari
    Pages 1-11
  3. Handwritten Digit Recognition Using Machine Learning

    • Mayank Sharma, Pradhyuman Singh Sindal, M. Baskar
    Pages 31-43
  4. A Smart Movie Recommendation System Using Machine Learning Predictive Analysis

    • Pranshi Verma, Preeti Gupta, Vijai Singh
    Pages 45-56
  5. A Strategy to Accelerate the Inference of a Complex Deep Neural Network

    • P. Haseena Rahmath, Vishal Srivastava, Kuldeep Chaurasia
    Pages 57-68
  6. Predicting Aramco’s IPO Long-Term Performance During COVID Times

    • Mohammad Imdadul Haque, Master Prince, Abdul Rahman Shaik
    Pages 69-80
  7. Development of a Transdisciplinary Role Concept for the Process Chain of Industrial Data Science

    • Jörn Schwenken, Christopher Klupak, Marius Syberg, Nikolai West, Felix Walker, Jochen Deuse
    Pages 81-88
  8. Convolutional Neural Network-Based Lung Cancer Nodule Detection Based on Computer Tomography

    • Ahmed Hamid Ahmed, Hiba Basim Alwan, Muhammet Çakmak
    Pages 89-102
  9. A Novel QIA Protocol Based on Bell States Position by Random Selection

    • B. Devendar Rao, Ramkumar Jayaraman
    Pages 111-118
  10. Some Methods for Digital Image Forgery Detection and Localization

    • Ankit Kumar Jaiswal, Shiksha Singh, Santosh Kr. Tripathy, Nirbhay Kr. Tagore, Arya Shahi
    Pages 119-127
  11. A Novel Approach to Visual Linguistics by Assessing Multi-level Language Substructures

    • Monika Arora, Pooja Mudgil, Rajat Kumar, Tarushi Kapoor, Rishabh Gupta, Ankit Agnihotri
    Pages 129-138
  12. Sentiment Analysis on Amazon Product Review: A Comparative Study

    • Shivani Tufchi, Ashima Yadav, Vikash Kumar Rai, Avishek Banerjee
    Pages 139-149
  13. GAER-UWSN: Genetic Algorithm-Based Energy-Efficient Routing Protocols in Underwater Wireless Sensor Networks

    • Mohit Sajwan, Shivam Bhatt, Kanav Arora, Simranjit Singh
    Pages 151-159
  14. Occlusion Reconstruction for Person Re-identification

    • Nirbhay Kumar Tagore, Ramakant Kumar, Naina Yadav, Ankit Kumar Jaiswal
    Pages 161-172
  15. Create and Develop a Management System for Cardiovascular Clinics

    • Mohamed A. Fadhel, Haider Hussein Ayaall, Zainab Yasir Hanuyt, Hussein Hamad Hussein
    Pages 183-195
  16. Event Detection on Social Data Streams Using Hybrid-Deep Learning

    • Mohammed Ali Mohammed, Narjis Mezaal Shati
    Pages 197-208
  17. Automated Machine Learning Deployment Using Open-Source CI/CD Tool

    • Ashish Singh Parihar, Umesh Gupta, Utkarsh Srivastava, Vishal Yadav, Vaibhav Kumar Trivedi
    Pages 209-222

About this book

This book includes original unpublished contributions presented at the International Conference on Data Analytics and Management (ICDAM 2022), held at tThe Karkonosze University of Applied Sciences, Poland, during June 2022. The book covers the topics in data analytics, data management, big data, computational intelligence, and communication networks. The book presents innovative work by leading academics, researchers, and experts from industry which is useful for young researchers and students.

Editors and Affiliations

  • Maharaja Agrasen Institute of Technology, Rohini, India

    Ashish Khanna

  • The Karkonosze University of Applied Sciences in Jelenia Góra, Jelenia Góra, Poland

    Zdzislaw Polkowski

  • Tijuana Institute of Technology, Tijuana, Mexico

    Oscar Castillo

About the editors

Ashish Khanna has expertise in Teaching, Entrepreneurship, and Research & Development of 17 years. He received his Ph.D. degree from National Institute of Technology, Kurukshetra, in March 2017. He has completed his M. Tech. and B. Tech. from GGSIPU, Delhi, in 2009 and 2004, respectively. He has completed his PDF from Internet of Things Lab at Inatel, Brazil. He has around 150 research papers along with book chapters including more than 82 papers in SCI-indexed journals. Additionally, he has authored, edited, and editing 40 books including proceedings, edited books, and text books. Furthermore, he has served the research field as TPC Chair/ General Chair/ Keynote Speaker/ Session Chair/ Reviewer/TPC Chair/ Guest Editor, and many more positions in various conferences and journals. His research interest includes distributed systems and its variants, data analytics, machine learning, and image processing. He is currently working at the CSE, Maharaja Agrasen Institute of Technology, Delhi, as Associate Professor. He is Convener of ICICC, ICDAM, ICCCN, and DoSCI Springer conference series. He is SMIEE and ACM Member too. He has five patents to his credit. His name emerged in AD Scientific World ranking as Leading Researcher. He has successfully completed funded government research projects. He is Recipient of 2021 IEEE System Council Best Paper Award. He is also Series and Consulting Editor in Elsevier.

Zdzislaw Polkowski is Adjunct Professor at Faculty of Technical Sciences at the Jan Wyzykowski University, Poland. He is also Rector's Representative for International Cooperation and Erasmus Programme and former Dean of the Technical Sciences Faculty during the period of 2009–2012. His area of research includes management information systems, business informatics, IT in business and administration, IT security, small medium enterprises, CC, IoT, big data, business intelligence, and block chain. He has published around 60 research articles. He has served the research community in the capacity of author, professor, reviewer, keynote speaker, and co-editor. He has attended several international conferences in the various parts of the world.  He is also playing the role principal investigator.

Oscar Castillo holds the Doctor in Science degree (Doctor Habilitatus) in Computer Science from the Polish Academy of Sciences (with the Dissertation “Soft Computing and Fractal Theory for Intelligent Manufacturing”). He is Professor of Computer Science in the Graduate Division, Tijuana Institute of Technology, Tijuana, Mexico. Currently, he is President of Hispanic American Fuzzy Systems Association (HAFSA) and Past President of International Fuzzy Systems Association (IFSA). Prof. Castillo is also Chair of the Mexican Chapter of the Computational Intelligence Society (IEEE). His research interests are in type-2 fuzzy logic, fuzzy control, neuro-fuzzy, and genetic-fuzzy hybrid approaches. He has published over 300 journal papers, 10 authored books, 40 edited books, 200 papers in conference proceedings, and more than 300 chapters in edited books, in total 865 publications according to Scopus (H index=60), and more than 1000 publications according to Research Gate (H index=72 in Google Scholar).

 

 

Bibliographic Information

Buy it now

Buying options

eBook USD 189.00
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book USD 249.99
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