Editors: Vikash Yadav, Vimal Kumar, Sonam Gupta, Vandana Dixit Kaushik

Computational Intelligence and its Applications

eBook: US $49 Special Offer (PDF + Printed Copy): US $84
Printed Copy: US $59
Library License: US $196
ISBN: 978-981-5313-33-8 (Print)
ISBN: 978-981-5313-32-1 (Online)
Year of Publication: 2025
DOI: 10.2174/97898153133211250101

Introduction

Computational Intelligence and its Applications explores cutting-edge advancements in machine learning, data science, and their practical applications. This comprehensive guide caters to college students, researchers, and professionals equipping readers with the knowledge to navigate and leverage the latest trends in computational intelligence effectively.

Key Features:

  • - Emerging Technologies: Covers post-quantum cryptography, secure communication, and advancements in chatbot technology.
  • - Practical Applications: Includes stock price prediction, cloud computing, and data-driven DNA sequencing.
  • - Security and Detection: Enhances intrusion detection and analyzes crop disease using machine learning.
  • - Natural Language Processing: Explores sentiment analysis and the impact of big data on natural language processing.
  • - Advanced Techniques: Discusses blockchain technology, remote sensing, and depression detection on social media.


Readership

Ideal for academia and industry alike.

Preface

- Pp. i
Vikash Yadav, Vimal Kumar, Sonam Gupta, Vandana Dixit Kaushik
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List of Contributors

- Pp. ii-iii (2)

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Emerging Frontiers: Post-Quantum Cryptography and Secure Communication

- Pp. 1-12 (12)
Namita Tiwari*, Mayur Rahul, Vikash Yadav

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Chatbot with Machine Learning: Latest Advancements

- Pp. 13-26 (14)
Anshu*, Nidhi Sindhwani, Rohit Anand

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Stock Price Prediction: A Gateway to a Prosperous Future Using Data Science and Machine Learning

- Pp. 27-43 (17)
Pankaj Singh, Sonia Deshmukh, Rohit Vashisht*

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Cloud, Edge, and Fog Computing: A Study on their Broader Scope

- Pp. 44-63 (20)
Aditya Verma, Gurpreet Kaur*

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Data-Driven Approach of Species DNA Sequencing Based on Similar Patterns Using Machine Learning

- Pp. 64-87 (24)
Manoj Kumar*, Anil Kumar Yadav, Vivek Kumar, Bably Dolly

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Enhancing Intrusion Detection Performance with a Hybrid Module on KDD99 Dataset

- Pp. 88-104 (17)
Utkarsh Dixit*

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A Comprehensive Study on Crop Disease Detection Using Machine Learning and Deep Learning Models

- Pp. 105-119 (15)
Sonam Gupta*, Shivani Saxena, Sneha Maurya, Pradeep Gupta

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Machine Learning Approaches for Natural Language Processing and Sentiment Analysis

- Pp. 120-143 (24)
Tarun Jaiswal*, Vikash Yadav

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From Data to Big Data: An Exploration of the Evolution and Impact of Large-Scale Data Analytics

- Pp. 144-153 (10)
Manish Kumar Gupta*, Ashok Kumar Rai

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Analysis Study on Blockchain Technology

- Pp. 154-166 (13)
Martand Ratnam, Ayushi Prakash*, Sandhya Avasthi

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A Study on Remote Sensing Image Segmentation and Classification

- Pp. 167-190 (24)
Vikash Kumar Mishra*, Abdul Aleem, Vimal Kumar, Bosco Paul Alapatt

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Depression Detection on Social Media Using the CNN-LSTM Model

- Pp. 191-206 (16)
Lakshay Singh Mahur*

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Evaluating Twitter Sentiments via Natural Language Processing

- Pp. 207-222 (16)
Radhey Shyam*, Shilpi Khanna, Smita Singh, Tanvi Jaiswal

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Subject Index

- Pp. 223-228 (6)
Vikash Yadav, Vimal Kumar, Sonam Gupta, Vandana Dixit Kaushik
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