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Ihr Team von Sack Fachmedien
Buch, Englisch, Band 1495, 705 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1216 g
DoSCI 2025, Volume 1
Buch, Englisch, Band 1495, 705 Seiten, Format (B × H): 155 mm x 235 mm, Gewicht: 1216 g
Reihe: Lecture Notes in Networks and Systems
ISBN: 978-981-968042-9
Verlag: Springer
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.
Zielgruppe
Research
Autoren/Hrsg.
Fachgebiete
Weitere Infos & Material
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 : .- 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.-




