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Advancements in Interdisciplinary Research

First International Conference, AIR 2022, Prayagraj, India, May 6–7, 2022, Revised Selected Papers

  • Conference proceedings
  • © 2022

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Editors:
  1. Vijayan Sugumaran

    1. Oakland University, Rochester, USA

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  2. Divya Upadhyay

    1. ABES Engineering College, Ghaziabad, India

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    You can also search for this editor in PubMed   Google Scholar

  3. Shanu Sharma

    1. ABES Engineering College, Ghaziabad, India

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Part of the book series: Communications in Computer and Information Science (CCIS, volume 1738)

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Conference proceedings info: AIR 2022.

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About this book

This volume constitutes selected and revised papers presented at the First International Conference on Advancements in Interdisciplinary Research, AIR 2022, held in Allahabad, India, in May 2022. 

The 49 papers were thoroughly reviewed and selected from the 252 submissions. They are organized in topical sections on ​novel technologies enabled secured privacy models and optimized networking infrastructures toward secure industries; developments towards sustainable healthcare sector; machine learning and deep learning enabled applications in different sectors; robotics and computer vision for intelligent automation in industries; trending technologies: frameworks and applications focusing real life issues.

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Table of contents (49 papers)

  1. Front Matter

    Pages i-xv
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  2. Novel Technologies Enabled Secured Privacy Models and Optimized Networking Infrastructures Toward Secure Industries

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Fast Phrased Search for Encrypted Cloud Storage

      • Lokesh Kumar, Sushil Kumar Sharma
      Pages 3-13

    3. Secure Data Hiding and Extraction Using RSA Algorithm

      • Aminu Aminu Muazu, Umar Danjuma Maiwada, Abubakar Rufa’i Garba, Muhammad Garzali Qabasiyu, Kamaluddeen Usman Danyaro
      Pages 14-28

    4. Token Bases Valid and Secure Payment System Using SHA-256

      • Ravi Shankar Jha, Saleh Umar, Tokpe Kossi, Ouattara Mohamad Lamine
      Pages 29-38

    5. A Novel Approach to Secure Files Using Color Code Authentication

      • Keshav Kaushik
      Pages 39-46

    6. Analysis of Ransomware Security on Cloud Storage Systems

      • Advait Deochakke, Amit Kumar Tyagi
      Pages 47-59

    7. A Novel Approach for an Automated Advanced MITM Attack on IoT Networks

      • Keshav Kaushik, Vanshika Singh, V. Prabhu Manikandan
      Pages 60-71

    8. Fog Computing Paradigm with Internet of Things to Solve Challenges of Cloud with IoT

      • Aarti Rani, Vijay Prakash, Manuj Darbari
      Pages 72-84

    9. Dynamic Resource Allocation in Fog Computing Environment

      • Gaurav Goel, Rajeev Tiwari
      Pages 85-93

    10. Vehicle as Fog Server in Intelligent Transportation System

      • Deep Chandra Binwal, Rajeev Tiwari, Monit Kapoor
      Pages 94-101

    11. Measuring the Impact of Blockchain-Based Supply Chain Traceability Systems on Consumer Trust

      • Tejaswi Khanna, Parma Nand, Vikram Bali
      Pages 102-112

    12. Comparison of Routing Protocols with Performance Parameters in MANET Using NS3

      • Jaykumar Bhosale, Sheetal Zalte, Bharat Jadhav
      Pages 113-119

  3. Developments Towards Sustainable Healthcare Sector

    1. Front Matter

      Pages 121-121
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    2. Light Weighted Model Based on Convolutional Neural Network for Detection of COVID-19 Using Chest X-Ray Images

      • Jitendra Mehta, Ramesh Pandey, Ravi Prakash Tewari
      Pages 123-132

    3. Forecasting COVID-19 Cases Using n-SARS-CoV-2 Variants

      • Soham Parekh, Rishabh Agarwal, Tanaya Jadhav, Amit Joshi
      Pages 133-144

    4. COVID-19 Vaccines Analysis to Predict Its Impact Across the World

      • Ishita Sarkar, Sridevi Vattikuti, K. S. Jasmine
      Pages 145-155

    5. Lung Cancer Detection Using Ensemble Learning

      • Fayeza Sifat Fatima, Arunima Jaiswal, Nitin Sachdeva
      Pages 156-167

    6. Detection of Pneumothorax from Chest X-Ray Data Using Machine Learning: A Comprehensive Survey

      • Arpan Garg, Bobbinpreet Kaur
      Pages 168-178

    7. Analyzing Patient Reviews for Recommending Treatment Using NLP and Deep Learning-Based Approaches

      • Tauheed Shahid, Suraj Singh, Shatmanyu Gupta, Shanu Sharma
      Pages 179-190
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Other volumes

  1. Advancements in Interdisciplinary Research

Editors and Affiliations

  • Oakland University, Rochester, USA

    Vijayan Sugumaran

  • ABES Engineering College, Ghaziabad, India

    Divya Upadhyay, Shanu Sharma

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