Proceedings of Sixth Doctoral Symposium on Computational Intelligence : DoSCI 2025, Volume 1 / edited by Abhishek Swaroop, Vineet Kansal, Aboul Ella Hassanien.

Format:

Book

Author/Creator:

Swaroop, Abhishek.

Series:

Lecture Notes in Networks and Systems, 2367-3389 ; 1495

Language:

English

Subjects (All):

Computational intelligence.

Artificial intelligence.

Data structures (Computer science).

Information theory.

Computational Intelligence.

Artificial Intelligence.

Data Structures and Information Theory.

Local Subjects:

Computational Intelligence.

Artificial Intelligence.

Data Structures and Information Theory.

Physical Description:

1 online resource (871 pages)

Edition:

1st ed. 2026.

Place of Publication:

Singapore : Springer Nature Singapore : Imprint: Springer, 2026.

Summary:

This book features high-quality research papers presented at Sixth Doctoral Symposium on Computational Intelligence (DoSCI 2025), jointly organized by Institute of Engineering & Technology, Lucknow, India, and School of Open Learning, University of Delhi in association with University of Calabria, Italy, during March 28 – 29, 2025. This book discusses the topics such as computational intelligence, artificial intelligence, deep learning, evolutionary algorithms, swarm intelligence, fuzzy sets and vague sets, rough set theoretic approaches, quantum-inspired computational intelligence, hybrid computational intelligence, machine learning, computer vision, soft computing, distributed computing, parallel and grid computing, cloud computing, high-performance computing, biomedical computing, and decision support and decision making.

Contents:

Chapter 1: A Compound-word and Language Based Classification of Disagreed Phrasemes of Different Scripts of Indo-Aryan Languages

Chapter 2: Development of a ML model for vehicle tire life

Chapter3 : Retail Price Optimization: Enhancing Profitability by Leveraging Neural Network

Chapter 4: Academic performance prediction in a blended learning model based on GRU-LSTM with Fractional Greater Cane Rat Algorithm

Chapter 5: Improving Tomato Crop Health with Deep Learning-Based Disease Detection

Chapter 6: Depression detection in Hindi-English Code-mixed Language using machine learning

Chapter 7: Advancements in Structural Health Monitoring Through AI Integrated Fiber-Optic Sensors

Chapter 8: Securing and Implementing Autonomous Vehicles through Sustainable Practices

Chapter 9: Real-time Weed Detection Using YOLOv9c Integrated Mobile App

Chapter 10: A Data Normalized NLP based Framework for Improving Patient Care using Sentiment Analysis.-.

Notes:

Description based on publisher supplied metadata and other sources.

ISBN:

981-9680-43-3

9789819680436

OCLC:

1564374211