1 option
Recent Trends in Intelligence Enabled Research : Selected Papers of 7th Doctoral Symposium, DoSIER 2025 / edited by Siddhartha Bhattacharyya, Indrajit Pan, Leo Mrsic, Jan Platoš, Jyoti Sekhar Banerjee.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1959
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Cooperating objects (Computer systems).
- Internet of things.
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Internet of Things.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Cyber-Physical Systems.
- Internet of Things.
- Physical Description:
- 1 online resource (766 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Cham : Springer Nature Switzerland : Imprint: Springer, 2026.
- Summary:
- This book gathers research papers presented at DoSIER 2025 (Seventh Doctoral Symposium on Intelligence Enabled Research, to be held at RCC Institute of Information Technology, Kolkata, West Bengal, India, from 21-22 November 2025). The papers will address the rapidly expanding research area of computational intelligence, which, no longer limited to specific computational fields, has since made inroads in signal processing, smart manufacturing, predictive control, robot navigation, smart cities, and sensor design, to name but a few. Presenting chapters will be written by experts in these areas; the book will offer a valuable reference guide for researchers and industrial practitioners and inspire future studies.
- Contents:
- A Robust Method for Impulse Noise Removal via Interval Type-2 Fuzzy Triangular Median-Sharpening Filter
- Designing a Modular Agentic AI as a Personal Assistant for Grid Computing System
- Deep Learning and AI in Oral Cancer Detection: Trends and Insights
- An In Depth Analysis of Deep Learning models for Vehicle Speed Estimation
- Personality analysis from handwritten text: A Regression-based approach
- A Bayesian GRU Framework for Early Detection of Parkinson’s Disease via Robust Speech Signal Modeling from Fuzzy Audio Data.
- Notes:
- Print version record.
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 9783032254467
- OCLC:
- 1613769266
The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.