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Intelligent Systems and Machine Learning

First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I

  • Conference proceedings
  • © 2023

Overview

Editors:
  1. Sachi Nandan Mohanty

    1. VIT-AP University, Amrāvati, India

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  2. Vicente Garcia Diaz

    1. University of Oviedo, Oviedo, Spain

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  3. G. A. E. Satish Kumar

    1. Vardhaman College of Engineering, Hyderabad, India

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Included in the following conference series:

Conference proceedings info: ICISML 2022.

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About this book

This two-volume set constitutes the refereed proceedings of the First EAI International Conference on Intelligent Systems and Machine Learning, ICISML 2022, held in Hyderabad, India, in December 16-17,2022.
The 75 full papers presented were carefully reviewed and selected from 209 submissions. The conference focuses on Intelligent Systems and Machine Learning Applications in Health care; Digital Forensic & Network Security; Intelligent Communication Wireless Networks; Internet of Things (IoT) Applications; Social Informatics; and Emerging Applications.

Keywords

Table of contents (42 papers)

  1. Front Matter

    Pages i-xxii
    Download chapter PDF

  2. Intelligent Systems and Machine Learning Applications in Health Care

    1. Front Matter

      Pages 1-1
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    2. Improving Multi-class Brain Tumor Detection Using Vision Transformer as Feature Extractor

      • Adeel Ahmed Abbasi, Lal Hussain, Bilal Ahmed
      Pages 3-14

    3. Measles Rash Disease Classification Based on Various CNN Classifiers

      • Lohitha Rani Chintalapati, Trilok Sai Charan Tunuguntla, Yagnesh Challagundla, Sachi Nandan Mohanty, S. V. Sudha
      Pages 15-27

    4. Brain Imaging Tool in Patients with Trans Ischemic Attack: A Comparative Research Study Analysis of Computed Tomography and Magnetic Resonance Imaging

      • R. Bhuvana, R. J. Hemalatha
      Pages 28-34

    5. EEG-Based Stress Detection Using K-Means Clustering Method

      • Soumya Samarpita, Rabinarayan Satpathy
      Pages 35-43

    6. Detection of Psychological Stability Status Using Machine Learning Algorithms

      • Manoranjan Dash, M. Narayana, Nampelly Pavan Kalyan, Md Azam Pasha, D. Chandraprakash
      Pages 44-51

    7. GLCM Based Feature Extraction and Medical X-ray Image Classification Using Machine Learning Techniques

      • Jyotiranjan Rout, Swagat Kumar Das, Priyabrata Mohalik, Subhashree Mohanty, Chandan Kumar Mohanty, Susil Kumar Behera
      Pages 52-63

    8. Multi-filter Wrapper Enhanced Machine Learning Model for Cancer Diagnosis

      • Bibhuprasad Sahu, Sujata Dash
      Pages 64-78

    9. An Interactive Web Solution for Electronic Health Records Segmentation and Prediction

      • Sudeep Mathew, Mithun Dolthody Jayaprakash, Rashmi Agarwal
      Pages 79-91

    10. A Convolutional Neural Network Based Prediction Model for Classification of Skin Cancer Images

      • Vanshika Saini, Neelanjana Rai, Nonita Sharma, Virendra Kumar Shrivastava
      Pages 92-102

    11. Multimodal Biomedical Image Fusion Techniques in Transform and Spatial Domain: An Inclusive Survey

      • Nitin S. Thakare, Mukesh Yadav
      Pages 103-118

    12. Early Prediction of Coronary Heart Disease Using the Boruta Method

      • Vaibhav Satija, Mohaneesh Raj Pradhan, Princy Randhawa
      Pages 119-129

    13. Design and Implementation of Obesity Healthcare System (OHS) Using Flutter Platform

      • Mehnaz Hikman Ud Din, Samar Mouti
      Pages 130-141

    14. A Survey on Covid-19 Knowledge Graphs and Their Data Sources

      • Hanieh Khorashadizadeh, Sanju Tiwari, Sven Groppe
      Pages 142-152

    15. Identify Melanoma Using CNN

      • G. M. Shashidhara, Rashmi Agarwal, Jitendra Suryavamshi
      Pages 153-166

  3. Digital Forensic and Network Security

    1. Front Matter

      Pages 167-167
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    2. Machine Learning Based Malware Analysis in Digital Forensic with IoT Devices

      • Sreenidhi Ganachari, Pramodini Nandigam, Anchal Daga, Sachi Nandan Mohanty, S. V. Sudha
      Pages 169-183

    3. Malicious Codes Detection: Deep Learning Techniques

      • Jasleen Gill, Rajesh Dhakad
      Pages 184-194

    4. Securing Outsourced Personal Health Records on Cloud Using Encryption Techniques

      • Abhijeet Borade, Rashmi Agarwal
      Pages 195-208
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Other volumes

  1. Intelligent Systems and Machine Learning

  2. Intelligent Systems and Machine Learning

Editors and Affiliations

  • VIT-AP University, Amrāvati, India

    Sachi Nandan Mohanty

  • University of Oviedo, Oviedo, Spain

    Vicente Garcia Diaz

  • Vardhaman College of Engineering, Hyderabad, India

    G. A. E. Satish Kumar

Bibliographic Information

  • Book Title: Intelligent Systems and Machine Learning

  • Book Subtitle: First EAI International Conference, ICISML 2022, Hyderabad, India, December 16-17, 2022, Proceedings, Part I

  • Editors: Sachi Nandan Mohanty, Vicente Garcia Diaz, G. A. E. Satish Kumar

  • Series Title: Lecture Notes of the Institute for Computer Sciences, Social Informatics and Telecommunications Engineering

  • DOI: https://doi.org/10.1007/978-3-031-35078-8

  • Publisher: Springer Cham

  • eBook Packages: Computer Science, Computer Science (R0)

  • Copyright Information: ICST Institute for Computer Sciences, Social Informatics and Telecommunications Engineering 2023

  • Softcover ISBN: 978-3-031-35077-1Published: 10 July 2023

  • eBook ISBN: 978-3-031-35078-8Published: 09 July 2023

  • Series ISSN: 1867-8211

  • Series E-ISSN: 1867-822X

  • Edition Number: 1

  • Number of Pages: XXII, 521

  • Number of Illustrations: 77 b/w illustrations, 241 illustrations in colour

  • Topics: Artificial Intelligence

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