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Information and Communication Technology and Applications

Third International Conference, ICTA 2020, Minna, Nigeria, November 24–27, 2020, Revised Selected Papers

  • Conference proceedings
  • © 2021

Overview

Editors:
  1. Sanjay Misra

    1. Covenant University, Ota, Nigeria

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    You can also search for this editor in PubMed   Google Scholar

  2. Bilkisu Muhammad-Bello

    1. Federal University of Technology Minna, Minna, Nigeria

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    You can also search for this editor in PubMed   Google Scholar

Part of the book series: Communications in Computer and Information Science (CCIS, volume 1350)

Included in the following conference series:

Conference proceedings info: ICTA 2020.

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Table of contents (55 papers)

  1. Front Matter

    Pages i-xxiv
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  2. Artificial Intelligence, Big Data and Machine Learning

    1. Front Matter

      Pages 1-1
      Download chapter PDF

    2. Multi-class Model MOV-OVR for Automatic Evaluation of Tremor Disorders in Huntington’s Disease

      • Rytis Maskeliunas, Andrius Lauraitis, Robertas Damasevicius, Sanjay Misra
      Pages 3-14

    3. Application of Big Data Analytics for Improving Learning Process in Technical Vocational Education and Training

      • Aliyu Mustapha, Abdullahi Kutiriko Abubakar, Haruna Dokoro Ahmed, Abdulkadir Mohammed
      Pages 15-25

    4. A Survey for Recommender System for Groups

      • Ananya Misra
      Pages 26-40

    5. Prediction of Malaria Fever Using Long-Short-Term Memory and Big Data

      • Joseph Bamidele Awotunde, Rasheed Gbenga Jimoh, Idowu Dauda Oladipo, Muyideen Abdulraheem
      Pages 41-53

    6. Improving the Prediction Accuracy of Academic Performance of the Freshman Using Wonderlic Personnel Test and Rey-Osterrieth Complex Figure

      • Ochilbek Rakhmanov, Senol Dane
      Pages 54-65

    7. Comparative Analyses of Machine Learning Paradigms for Operators’ Voice Call Quality of Service

      • Jacob O. Mebawondu
      Pages 66-79

    8. LearnFuse: An Efficient Distributed Big Data Fusion Architecture Using Ensemble Learning Technique

      • Salefu Ngbede Odaudu, Ime J. Umoh, Emmanuel A. Adedokun, Chukwuma Jonathan
      Pages 80-92

    9. A Gaussian Mixture Model with Firm Expectation-Maximization Algorithm for Effective Signal Power Coverage Estimation

      • Isabona Joseph, Ojuh O. Divine
      Pages 93-106

    10. Analysis and Classification of Biomedical Data Using Machine Learning Techniques

      • Sujata Panda, Hima Bindu Maringanti
      Pages 107-118

    11. Emotion Recognition of Speech in Hindi Using Dimensionality Reduction and Machine Learning Techniques

      • Akshat Agrawal, Anurag Jain
      Pages 119-129

    12. Application of Supervised Machine Learning Based on Gaussian Process Regression for Extrapolative Cell Availability Evaluation in Cellular Communication Systems

      • Ojuh O. Divine, Isabona Joseph
      Pages 130-144

    13. Anomaly Android Malware Detection: A Comparative Analysis of Six Classifiers

      • Benjamin A. Gyunka, Oluwakemi C. Abikoye, Adekeye S. Adekunle
      Pages 145-157

    14. Credit Risk Prediction in Commercial Bank Using Chi-Square with SVM-RBF

      • Kayode Omotosho Alabi, Sulaiman Olaniyi Abdulsalam, Roseline Oluwaseun Ogundokun, Micheal Olaolu Arowolo
      Pages 158-169

    15. A Conceptual Hybrid Model of Deep Convolutional Neural Network (DCNN) and Long Short-Term Memory (LSTM) for Masquerade Attack Detection

      • Adam Adenike Azeezat, Onashoga Sadiat Adebukola, Abayomi-Alli Adebayo, Omoyiola Bayo Olushola
      Pages 170-184

    16. An Automated Framework for Swift Lecture Evaluation Using Speech Recognition and NLP

      • Ochilbek Rakhmanov
      Pages 185-195

    17. DeepFacematch: A Convolutional Neural Network Model for Contactless Attendance on e-SIWES Portal

      • Emmanuel Adetiba, Amarachi E. Opara, Oluwaseun T. Ajayi, Folashade O. Owolabi
      Pages 196-205

    18. Hausa Intelligence Chatbot System

      • Usman Haruna, Umar Sunusi Maitalata, Murtala Mohammed, Jaafar Zubairu Maitama
      Pages 206-219

    19. An Empirical Study to Investigate Data Sampling Techniques for Improving Code-Smell Prediction Using Imbalanced Data

      • Himanshu Gupta, Sanjay Misra, Lov Kumar, N. L. Bhanu Murthy
      Pages 220-233
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  1. Information and Communication Technology and Applications

Keywords

About this book

This book constitutes revised selected papers from the Third International Conference on Information and Communication Technology and Applications, ICTA 2020, held in Minna, Nigeria, in November 2020. Due to the COVID-19 pandemic the conference was held online. 

The 67 full papers were carefully reviewed and selected from 234 submissions. The papers are organized in the topical sections on Artificial Intelligence, Big Data and Machine Learning; Information Security Privacy and Trust; Information Science and Technology.

Editors and Affiliations

  • Covenant University, Ota, Nigeria

    Sanjay Misra

  • Federal University of Technology Minna, Minna, Nigeria

    Bilkisu Muhammad-Bello

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