Skip to main content
SpringerLink
Log in

Accelerating Discoveries in Data Science and Artificial Intelligence II

ICDSAI 2023, LIET Vizianagaram, India, April 24–25

  • Conference proceedings
  • © 2024

Overview

Editors:
  1. Frank M. Lin

    1. Information & Decision Sciences, College of Business and Public Administration, California State University, San Bernard, San Bernardino, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  2. Ashokkumar Patel

    1. Computer & Information Science, University of Massachusetts Dartmouth, Dartmouth, USA

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  3. Nishtha Kesswani

    1. Department of Computer Science, Central University of Rajasthan, Ajmer, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  4. Bosubabu Sambana

    1. Lendi Institute of Engineering and Technology, Vizianagaram, India

    View editor publications

    You can also search for this editor in PubMed   Google Scholar

  • Brings together leading researchers who wish to continue to advance the field
  • Creates a broad knowledge about the most recent research
  • Provides awareness of mathematical algorithms used for AI and data science in the academic and professional community

Part of the book series: Springer Proceedings in Mathematics & Statistics (PROMS, volume 438)

Included in the following conference series:

Conference proceedings info: ICDSAI 2023.

  • 2006 Accesses

This is a preview of subscription content, log in via an institution to check access.

Access this book

Log in via an institution

Subscribe and save

Springer+ Basic
EUR 32.99 /Month
  • Get 10 units per month
  • Download Article/Chapter or eBook
  • 1 Unit = 1 Article or 1 Chapter
  • Cancel anytime
Subscribe now

Buy Now

eBook USD 169.00
Price excludes VAT (USA)
Hardcover Book USD 219.99
Price excludes VAT (USA)

Tax calculation will be finalised at checkout

Other ways to access

Licence this eBook for your library

Institutional subscriptions

About this book

This edited volume on machine learning and big data analytics (Proceedings of ICDSAI 2023), that was held on April 24-25, 2023 by CSUSB USA, International Association of Academicians (IAASSE), and Lendi Institute of Engineering and Technology, Vizianagaram, India is intended to be used as a reference book for researchers and practitioners in the disciplines of AI and Data Science. With the fascinating development of technologies in several industries, there are numerous opportunities to develop innovative intelligence technologies to solve a wide range of uncertainties in various real-life problems. Researchers and academics have been drawn to building creative AI strategies by combining data science with classic mathematical methodologies. The book brings together leading researchers who wish to continue to advance the field and create a broad knowledge about the most recent research.

Keywords

Table of contents (34 papers)

  1. Front Matter

    Pages i-xiv
    Download chapter PDF

  2. Computational Intelligence for Sciences

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Mood-Based Music Recommendation System

      • Keesara Sravanthi, G. Yaswanth, M. Manihaar, P. Venkat, P. Karthik
      Pages 3-10

    3. Internet Employment Detection Scam of Fake Jobs via Random Forest Classifier

      • Dasari Madhavi, Mucharla Sri Manisha Reddy, Manthri Ramya
      Pages 11-20

    4. Sentiment Analysis and Age Factor Influences on Brand Usage of Personal Care Products: A Study with Reference to Visakhapatnam City, India

      • Vinod Kumar Tuduku, P. Tirumala, B. Rama Jyothi, E. Jyothi
      Pages 21-28

    5. Construction of Pythagorean and Reciprocal Pythagorean n-tuples

      • Srinivas Thiruchinapalli, C. Ashok Kumar
      Pages 29-36

    6. Statistical Approaches for Forecasting Air pollution: A Review

      • Marada Srinivasa Rao, Bangaru Sailaja, Mugada Swetha, Gorle Kumari, Bodduru Keerthana, Bosubabu Sambana
      Pages 37-44

    7. Computer-Assisted Statistical Analysis of L-Methionine Protonation Equilibria in The Anionic, Cationic, and Neutral Micellar Systems

      • R. Neeraja, M. Ramanaiah, V. S. Narayana, G. Hima Bindu
      Pages 45-56

    8. A Study on Benefits of Continuous Integration and Continuous Delivery in Software Engineering

      • K. Sunil Manohar Reddy, P. Vijaya Pal Reddy, P. Uma Maheshwari
      Pages 57-63

    9. An Overview: Progressive Report on Magic Labelling

      • Durgadevi Mulagapati, Subhashish Biswas
      Pages 65-72

  3. Computing, Data Science & Intelligent Robotics

    1. Front Matter

      Pages 73-73
      Download chapter PDF

    2. Multi-keyword Ranked Search with Privacy Protection on Encrypted Cloud Data

      • S. Koushika, A. Saranya Devi, G. Dinish Kumar, V. Saihareesh
      Pages 75-82

    3. BERT-Based Similarity Measures Oriented Approach for Style Change Detection

      • T. Murali Mohan, T. V. Satya Sheela
      Pages 83-94

    4. Computer Vision–Based Malpractice Detection System

      • P. AnnanNaidu, M. Gayatri, P. Sreeja, V. Rakesh Kumar, P. Sai Tharun, B. Divakar
      Pages 95-107

    5. The Evolution of Influence Maximization Studies: A Scientometric Analysis

      • M. Venunath, Pothula Sujatha, Prasad Koti, Srinu Dharavath
      Pages 109-118

    6. A Survey on Evolving Optimal Encryption Methods in Cloud Computing Data Forensics

      • P. Jagannadha Varma, Srinivasa Rao Bendi
      Pages 119-126

    7. DR-HIPI: Performance Evaluation of Retinal Images for DR Lesion Segmentation Using the HIPI Architecture

      • Hemanth Kumar Vasireddi, K. Suganya Devi, Om Prakash, Manikanta Vella
      Pages 127-140

    8. Adaptability of Robotic Process Automation and Capabilities of Human Automation

      • Suseela Midde, G. V. V. Jagannadha Rao
      Pages 141-151

  4. Communication and Automation Applications

    1. Front Matter

      Pages 153-153
      Download chapter PDF

    2. A Brief Review on the Impact of Digital Trading on Conventional Marketing Strategies After COVID-19’s Effect on Ecommerce

      • Vinod Kumar Tuduku, P. Tirumala, B. Rama Jyothi, E. Jyothi
      Pages 155-163
Back to top

Other volumes

  1. Advances in Data Science and Artificial Intelligence

  2. Accelerating Discoveries in Data Science and Artificial Intelligence I

  3. Accelerating Discoveries in Data Science and Artificial Intelligence II

Editors and Affiliations

  • Information & Decision Sciences, College of Business and Public Administration, California State University, San Bernard, San Bernardino, USA

    Frank M. Lin

  • Computer & Information Science, University of Massachusetts Dartmouth, Dartmouth, USA

    Ashokkumar Patel

  • Department of Computer Science, Central University of Rajasthan, Ajmer, India

    Nishtha Kesswani

  • Lendi Institute of Engineering and Technology, Vizianagaram, India

    Bosubabu Sambana

Bibliographic Information

Publish with us

Policies and ethics

Back to top

Search

Navigation