1 option
Proceedings of the Eleventh International Conference on Mathematics and Computing : ICMC 2025, Volume 1 / edited by Debasis Giri, Indrakshi Ray, S. Ponnusamy, Rakesh M. Verma, James B. D. Joshi.
Springer eBooks EBA - Intelligent Technologies and Robotics Collection 2026 Available online
View online- Format:
- Book
- Author/Creator:
- Giri, Debasis.
- Series:
- Lecture Notes in Networks and Systems, 2367-3389 ; 1420
- Language:
- English
- Subjects (All):
- Computational intelligence.
- Artificial intelligence.
- Computer networks--Security measures.
- Computer networks.
- Data protection.
- Computational Intelligence.
- Artificial Intelligence.
- Mobile and Network Security.
- Data and Information Security.
- Local Subjects:
- Computational Intelligence.
- Artificial Intelligence.
- Mobile and Network Security.
- Data and Information Security.
- Physical Description:
- 1 online resource (807 pages)
- Edition:
- 1st ed. 2026.
- Place of Publication:
- Singapore : Springer Nature Singapore : Imprint: Springer, 2026.
- Summary:
- This book features selected papers from the 11th International Conference on Mathematics and Computing (ICMC 2025), held at IIT Bhilai, India during January 09 – 11, 2025. It covers recent advances in the field of mathematics, statistics, and scientific computing. The book presents innovative work by leading academics, researchers, and experts from industry in mathematics, statistics, cryptography, network security, cyber security, machine learning, data analytics and blockchain technology in computer science and information technology. The book is divided into two volumes.
- Contents:
- Trajectory Prediction in Ship Movement Using Geohash Embedding
- 6G-IoT Enabled Authentication Framework for Secure Waterborne Transportation Systems using Blockchain
- A Zero-Knowledge Proof Approach on IoT Sensor Readings for Improving Data Security in Smart Agriculture
- Hybrid NasNetMobile and Xception-Based Feature Extraction with Ensemble Learning for Efficient Oral Cancer Detection
- Cryptanalysis and Countermeasures on Multivariate Polynomial-based Group Signature Scheme
- Adversarial Neural Cryptography: Security Challenges and Solutions
- Classifying Students in Flipped Learning Pedagogy Exploiting EEG Signals and Deep Learning Techniques
- SCA-DU-Net: Spatial and Channel Attention with Dilation U-Net for Enhanced Skin Cancer Image Segmentation
- Towards Efficient Deployment of Compressed Neural Networks on MCU for EdgeAI Applications
- Phishing Email Detection using Header Features Leveraging Large Language Models (LLMs)
- Precision Pest Identification in Crops using EfficientNet Based Ensemble Model
- Ensuring Safety and Security in Blood Screening Systems Using Decentralized Ledger Based Technology
- An Intelligent Framework for Early Diagnosis of Multivariate Respiratory Diseases Using Lightweight Deep Neural Network
- Deep Learning assisted Ring Artifact Corrections in X-ray MicroCT images
- RedactChain: A Redactable Blockchain-Driven Privacy Protected Personal Data Management Scheme
- Cryptanalysis of “Cross-domain Identity Authentication Scheme based on Blockchain and PKI System
- Survey on the Bohr radius in higher dimension
- On improving the applicability of a Jarratt-type iterative method
- Discretization of a Smoking Model: A Comparison of Euler and NSFD Schemes
- Characterization of exponential distribution with application in testing exponentiality
- Classifying into Several Normal Populations with a Common Mean and Order Restricted Variances
- Investigating the Role of Initial Stress and Triangular Surface Irregularities in SH-Wave Propagation through Multilayer Anisotropic Media
- Effect of preservation and green technology investment on a sustainable inventory model with carbon tax policy under inflation
- Fractal generation via Multi-parameter Weakly Enriched Contraction
- Use of GJR-GARCH model for forecasting of financial risk.
- Notes:
- Description based on publisher supplied metadata and other sources.
- ISBN:
- 981-9669-41-3
- 9789819669417
- OCLC:
- 1572219769
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.