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Information and Communication Systems.

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Format:
Book
Author/Creator:
B. G., Nagaraja.
Language:
English
Physical Description:
1 online resource (995 pages)
Edition:
1st ed.
Place of Publication:
2026.
Milton : Taylor & Francis Group, 2026.
Summary:
This book looks closely at the latest insights and developments in information and communication systems, with particular emphasis on the use of advanced technologies like smart antennas, wireless communication, artificial intelligence, the Internet of Things (IoT), and signal processing.
Contents:
Cover
Title Page
Copyright
Table of contents
Preface
Editor biographies
Committees
Adaptive and fair job recommendation system using skill evolution and bias mitigation techniques
1 Introduction
2 Related Work
3 Methods and Methodology
4 Experiments and Results
5 Discussion
6 Conclusion
References
GDI-based low latency sense amplifier design
4 Proposed System
5 Working Principle
6 Result
7 Conclusion
Non exponential antipode antenna with improved directivity
2 Proposed Antenna Design &amp
Development
3 Results and Discussion
4 Conclusion
Funding
Active learning for improved semi-supervised semantic segmentation in echocardiography
2 Methods
3 Review Outcome
Parallel brute-force decryption tool with grammar and structure validation for enhanced cryptographic cracking efficiency
2 Literature Survey
3 Methodology
4 Results
5 Conclusion
Diabetic retinopathy detection using deep learning with inception V3
4 Result
Age-related macular degeneration using deep learning models and GAN data augmentation
3 Proposed Methodology
4 Results and Evaluation
Hybrid blockchain for historical document preservation: Securing authenticity and accessibility with Ethereum and IPFS
2 Literature Review
3 Current System
4 Limitations
5 Flow Explanation
6 Proposed System
7 Key Components
8 Workflow
9 Comparison
10 Conclusion
References.
NBBZVF: NFT-blockchain based ZKPs verification system in healthcare
2 Architecture Framework and Methodology for ZKP Verification System in NFT Blockchain for Healthcare System
3 Literature Review
4 Results and Discussion
Intelligent robot for delivering medicine, transporting lab samples in hospitals
2 Methodology
3 Analysis of Impact on Hospital Workflow and Efficiency
4 Comparison of the Result with the Existing Work
5 Results and Discussion
6 Conclusion and Future Work
Multiple facial recognition and automated attendance posting: A modern approach
2 Literature Reviews
3 Existing System
5 Methodology
6 Results and Discussion.
7 Conclusion &amp
Future Work
Enhancing skin disease classification through GAN-generated synthetic model for improved CNN training and generalization
2 Experimental
ICIP: An integrated approach for AI image generation using stable diffusion
2 Related Works
3 Implementation
5 Results
AI-powered electronic health report optimization using wearable IoT
2 Theoretical Background
3 Challenge Overview
4 Methodological Approach
5 Real-Time Health Analytics
6 Design Framework
7 AI Model for Symptom Diagnosis
8 Testing and Launch
9 Design
10 Real-Time Alerts and Recommendations
11 Result Synthesis
12 Conclusion
NBBZVF: NFT-blockchain based ZKPs verification system in healthcare
3 Architecture Framework &amp
Methodology
4 Results and Discussion.
5 Results and Discussion (Visual Outputs)
Dynamic programming approach for solving variational problems in computer vision
2 Background
4 Experimental Results
QuMail: A framework for enhancing email security using quantum key distribution
5 Result
Image caption generator for assistive technology: Enhancing accessibility for visually impaired users
3 Gap Analysis
4 Methodology and Implementation
5 Results &amp
Discussion
Indian sign language recognition, to assist communication between the hearing impaired
A comparative study of techniques for network anomaly detection
Early detection of skin diseases using deep learning approaches
Machine learning approaches for accurate iris segmentation
Virtual project review system for streamlined evaluation and performance optimization
5 Conclusion and Future Works
Automated abdominal organ segmentation and surgery recommendation system using U-Net and voting classifier
3 Proposed Methodology.
4 Result and Discussion
Comprehensive IoT-driven home automation
2 Problem Formulation
3 Working of the Project
AI-driven smart monitoring system for enhancing productivity and well-being in educational and workplace environments
2 Methodological Framework
3 Result and Discussion
Real-time emotion detection: A robust framework for facial expression recognition with dynamic emoji representation
3 Methodologies
4 Results and Discussions
Intrusion detection system using machine learning models
3 Proposed Architecture
Enhancing image segmentation accuracy through generative adversarial
3 Gan Based Semantic Segmentation: Methodoly Overview
4 Experimental Setup and Results
Integration of speech enhancement with zero-crossing rate and energy-based voice activity detection
2 Proposed Methodology
3 Experimental Setup
The hidden threat: Navigating zero-day vulnerabilities in today's digital landscape
3 Comparative Analysis
Enhancing voice activity detection: Integrating speech enhancement for robust noise resilience
2 SS-TF Filtering
3 Proposed Combined SS-TF and Ssgmm-Vad System
4 Conclusions and Future Work
Efficient traffic surveillance: Automatic accident detection through object tracking and trajectory conflict analysis
1 Introduction.
2 Related Works
3 Proposed System
Word level speech emotion transformation for Kannada language
2 Segmentation of Kannada Speech
3 Word Level Emotion Transformation Algorithm
4 Gaussian Regression Model (GRM)
5 Gaussian Normalization Method (GNM)
6 Spectral Energy Modification
7 Results and Discussion
8 Conclusion
Framework for real time sign language detection
Traffic prediction using machine learning: A comparison of LSTM, random forest, and gradient boosting approaches
3 Lstm Model
8 Conclusion and Future Work
A study on multimodal approach for early detection of tuberculosis using deep learning
Prosthetic therapeutic device with full-hand support and ankle action for lower limb amputees
3 Existing Method
4 Proposed Method
5 Block Diagram
6 Methodology
8 CONCLUSION
Multi label Malaysia sayur vegetable image classification using convolutional neural networks and transfer learning techniques
3 Proposed Deep Learning For Fruit Recognition
4 Performance Result
An empirical study on integrating machine learning and deep learning models for autism spectrum disorder diagnosis
4 Adopted Machine Learning and Deep Learning Models
A novel approach to document similarity retrieval using sentence transformers and vector databases.
Notes:
Description based on publisher supplied metadata and other sources.
ISBN:
1-003-65020-1
1-04-058057-2
OCLC:
1583171633
Publisher Number:
CIPO000350030

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