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Information and Communication Systems.
- 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 &
- 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- Hybrid blockchain for historical document preservation: Securing authenticity and accessibility with Ethereum and IPFS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 &
- 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 &
- 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 &
- 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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