Proceedings of Sixth Doctoral Symposium on Computational Intelligence - DoSCI 2025, Volume 1

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.

Sommario

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.-

Dettagli sul prodotto

• Con la collaborazione di: Aboul Ella Hassanien (Editore), Aboul Ella Hassanien (Editore), Vineet Kansal (Editore), Abhishek Swaroop (Editore)
• Editore: Springer, Berlin
• Lingue: Inglese
• Formato: Tascabile
• Pubblicazione: 22.08.2025, ritardato
• EAN: 9789819680429
• ISBN: 978-981-9680-42-9
• Pagine: 705
• Illustrazioni: XX, 705 p. 255 illus., 227 illus. in color.
• Serie: Lecture Notes in Networks and Systems
• Categorie: Scienze naturali, medicina, informatica, tecnica > Tecnica > Tematiche generali, enciclopedie; Algorithmen und Datenstrukturen, Data Science, Artificial Intelligence, Informationstheorie, Cloud Computing, Data Structures and Information Theory, Soft Computing, Computational Intelligence, evolutionary computing, DoSCI 2025 Proceedings