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Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

Volume 4

  • Book
  • © 2024

Overview

Editors:
  1. Vinit Kumar Gunjan

    1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

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  2. Jacek M. Zurada

    1. Electrical and Computer Engineering, Louisville, USA

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  3. Ninni Singh

    1. Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

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  • Provides a systematic and comprehensive overview of AI and machine learning
  • Contains the contents on recent trends and approaches of Machine Learning and Cognitive Science
  • Presents methods and technologies of Cognitive Science important for practical solutions

Part of the book series: Studies in Computational Intelligence (SCI, volume 1117)

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Table of contents (28 chapters)

  1. Front Matter

    Pages i-vii
    Download chapter PDF

  2. Implementation of Improved High Speed SHA-256 Algorithm from RTL to GDSII Using Verilog HDL

    • B. Srikanth, J. V. R. Ravindra, G. A. E. Satish Kumar, Fahimuddin Shaik
    Pages 1-17

  3. Effect of Social Networking Advertisements (SNAs) on Attitudes and Purchase Intention Towards Brand Products

    • Venkata Subbiah Potala, A. S. Sathish
    Pages 19-32

  4. Design of Optimal Waste Management System Using IOT and Machine Learning Technique in Educational Institutions

    • L. Sivayamini, C. Venkatesh, Fahimuddin Shaik
    Pages 33-40

  5. Detection of COVID-19 Based on Deep Learning Methods: A Critical Review

    • J. Chinna Babu, Bolla Madhusudhana Reddy, K. Swapna, P. Yamuna, K. Sandeep Kumar Reddy, N. Sumanth
    Pages 41-52

  6. Performance Evaluation of GA, HS, PSO Algorithms for Optimizing Area, Wirelength Using MCNC Architectures

    • Shaik Karimullah, D. Vishnuvardhan, Vinit Kumar Gunjan, Fahimuddin Shaik
    Pages 53-70

  7. An Enhanced Woelfel Image Noise Filter

    • K. Riyazuddin, Shaik Bajidvali, B. Abdul Raheem, Shaik Karimullah, N. Merrin Prasanna, Pabbati Swathi
    Pages 71-80

  8. MHD Convective Flow of Chemically Reacting Viscoelastic Fluid Through an Infinite Inclined Plate via Machine Learning

    • Poli Chandra Reddy, B. Hari Babu, P. V. Sanjeeva Kumar, L. Rama Mohan Reddy
    Pages 81-93

  9. Improved Stockwell Transform for Image Compression and Reconstruction

    • Padigala Prasanth Babu, T. Jayachandra Prasad, K. Soundararajan
    Pages 95-101

  10. Facemask Detection Using Bounding Box Algortihm Under COVID-19 Circumstances

    • M. Hanumanthu, Shaik Karimullah, M. Sravani, Fahimuddin Shaik, P. Shashank, Y. Sravani et al.
    Pages 103-110

  11. Accelerated Addition in Resistive Ram Array Using Parallel-Friendly Majority Gates

    • J. Chinna Babu, Y. Suresh, R. Sudha Rani, S. Yasmeen, K. Siva Rama Krishna Reddy, K. Harshavardhan
    Pages 111-119

  12. Optimization of Area and Wirelength Using Hybrid BPSO Algorithm in VLSI Floorplan and Placement for IC Design

    • Shaik Karimullah, D. Vishnuvardhan, Vinit Kumar Gunjan, Fahimuddin Shaik
    Pages 121-130

  13. PAPR and SER Performance Analysis of OFDMA and SCFDMA

    • G. Obulesu, Shaik Karimullah, Fahimuddin Shaik, M. Nanda Krishna, C. Pavan Kumar, G. Divyanjali et al.
    Pages 131-140

  14. Food Detection with Image Processing Using Convolutional Neural Network (CNN)

    • K. Sreenivasa Rao, Fahimuddin Shaik, Munaga Sai Krishna, Sompalli Bhavya, Pothalam Bharat Teja, Saginala Jaleel Basha
    Pages 141-146

  15. Google Appstore Data Classification Using ML Based Naïve’s Bayes Algorithm: A Review

    • J. Chinna Babu, Y. Suresh, Ajmeera Kiran, A. Ramesh Babu, C. Madana Kumar Reddy
    Pages 147-158

  16. Improved Spectral Efficiency Using Vehicular Visible Light Communication with 16-Bit DCO in OFDM

    • Shaik Karimullah, D. Vishnuvardhan, Vinit Kumar Gunjan, Fahimuddin Shaik
    Pages 159-168

  17. Modelling of Symmetrical 13 Level and Asymmetrical 31 Level Generalized Cascaded Multilevel Inverters

    • Bolla Madhusudana Reddy, P. B. Chennaiah, J. Chinnababu
    Pages 169-191

  18. Improved Radix-4 Fast Fourier Transform Algorithm Used for Wireless Communication

    • J. Chinna Babu, K. Naveen Kumar Raju
    Pages 193-203

  19. Methodologies in Steganography and Cryptography–Review

    • G. Krishna Murhty, T. Kanimozhi
    Pages 205-214

  20. Study of Secure Data Transmission-Based Wavelets Using Steganography and Cryptography Techniques

    • K. Ravindra Reddy, Vijayalakshmi P.
    Pages 215-227
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Keywords

About this book

This book provides a systematic and comprehensive overview of cognitive intelligence and AI-enabled IoT ecosystem and machine learning, capable of recognizing the object pattern in complex and large data sets. A remarkable success has been experienced in the last decade by emulating the brain–computer interface. It presents the applied cognitive science methods and AI-enabled technologies that have played a vital role at the core of practical solutions for a wide scope of tasks between handheld apps and industrial process control, autonomous vehicles, IoT, intelligent learning environment, game theory, human computer interaction, environmental policies, life sciences, playing computer games, computational theory, and engineering development.


The book contains contents highlighting artificial neural networks that are analogous to the networks of neurons that comprise the brain and have given computers the ability to distinguish an image of a cat from one of a coconut, to spot pedestrians with enough accuracy to direct a self-driving car, and to recognize and respond to the spoken word. The chapters in this book focus on audiences interested in artificial intelligence, machine learning, fuzzy, cognitive and neurofuzzy-inspired computational systems, their theories, mechanisms, and architecture, which underline human and animal behavior, and their application to conscious and intelligent systems. In the current version, it focuses on the successful implementation and step-by-step execution and explanation of practical applications of the domain. It also offers a wide range of inspiring and interesting cutting-edge contributions on applications of machine learning, artificial intelligence, and cognitive science such as healthcare products, AI-enabled IoT, gaming, medical, and engineering.

Overall, this book provides valuable information on effective, cutting-edge techniques, and approaches for students, researchers, practitioners, and academics in the field of machine learning and cognitive science. Furthermore, the purpose of this book is to address the interests of a broad spectrum of practitioners, students, and researchers, who are interested in applying machine learning and cognitive science methods in their respective domains.


Editors and Affiliations

  • Department of Computer Science and Engineering, CMR Institute of Technology, Hyderabad, India

    Vinit Kumar Gunjan, Ninni Singh

  • Electrical and Computer Engineering, Louisville, USA

    Jacek M. Zurada

Bibliographic Information

  • Book Title: Modern Approaches in Machine Learning and Cognitive Science: A Walkthrough

  • Book Subtitle: Volume 4

  • Editors: Vinit Kumar Gunjan, Jacek M. Zurada, Ninni Singh

  • Series Title: Studies in Computational Intelligence

  • DOI: https://doi.org/10.1007/978-3-031-43009-1

  • Publisher: Springer Cham

  • eBook Packages: Intelligent Technologies and Robotics, Intelligent Technologies and Robotics (R0)

  • Copyright Information: The Editor(s) (if applicable) and The Author(s), under exclusive license to Springer Nature Switzerland AG 2024

  • Hardcover ISBN: 978-3-031-43008-4Published: 14 January 2024

  • Softcover ISBN: 978-3-031-43011-4Due: 14 February 2024

  • eBook ISBN: 978-3-031-43009-1Published: 13 January 2024

  • Series ISSN: 1860-949X

  • Series E-ISSN: 1860-9503

  • Edition Number: 1

  • Number of Pages: VII, 342

  • Number of Illustrations: 73 b/w illustrations, 171 illustrations in colour

  • Topics: Computational Intelligence, Artificial Intelligence, Machine Learning

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