Cognitive Computing and Information Processing (eBook, PDF)

5th International Conference, CCIP 2023, Mysuru, India, December 15-16, 2023, Proceedings
Redaktion: Aradhya, V. N. Manjunath; Bharathi, R. K.; Mahanand, B. S.; Srinath, S.; Mahmud, Mufti

• Format: PDF

Produktbeschreibung

This book constitutes the refereed proceedings of the 5th International Conference on Cognitive Computing and Information Processing, CCIP 2023, held in Mysuru, India, in December 2023.

The 14 revised full papers presented were carefully reviewed and selected from 127 submissions. The papers are organized in the following topical sections: Communications, Video analytics, Cognitive computing and its applications, and Image analysis.

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Produktdetails

• Verlag: Springer Nature Switzerland
• Seitenzahl: 189
• Erscheinungstermin: 1. Juni 2024
• Englisch
• ISBN-13: 9783031607257
• Artikelnr.: 70876420

Inhaltsangabe

Evaluating a Deep Learning Model for Cyberattack Detection Based on Network Traffic.- Exploring Antarctic Lake Expansion with UAV: Mapping Changes and Implications for Climate Research.- MVR Delay: Cooperative Light weight detection and prevention of false emergency message dissemination in VANET.- Antarctic Ice Sheet Surface mass balance using UAV based Digital Elevation Model.- Estimation of Glacier Velocity of Ny-Ålesund, Arctic Using Sentinel-1 Remote Sensing Data.- Implementation of ECPM for High-speed Area Efficient Processor on FPGA.- Comparative Analysis of Machine Learning Approaches to Assess Stability in Micro Grid.- Cloud-Based Real-Time Sign Language Detection and Voice Synthesis for Impaired Individuals Using Machine Learning.- Machine learning approaches for analysing sentiment in online course reviews.- Deep Belief Network Optimization using PSOGAA algorithm for efficient crop recommendation.- A Practical Solution towards Development of Real-time Face Attendance System.- Ancient Kannada Handwritten Character Recognition from Palm Leaf Manuscripts using PyTesseract-OCR Technique.- Anisotropic Guided Filtering and Multi-level Disintegration Method for NIR and Visible Image Fusion.- An Approach for Detecting and Restoring Tampering in Digital Image Watermarking.