Adaptive AI in Sensor Informatics

Name: Adaptive AI in Sensor Informatics
Price: 200 USD
Availability: InStock
ISBN: 9780443364129

Methods, Applications, and Implications

by Karthik Ramamurthy, Suganthi Kulanthaivelu, S. Sountharrajan, S. B. Goyal, Seifedine Kadry

1st Edition

Publisher: Elsevier

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Book Details

Print ISBN	9780443364129
eText ISBN	9780443364136
Publisher	Elsevier
Publishing Year	2026
Edition	1st Edition
Language	English

Adaptive AI in Sensor Informatics, 1st Edition, analyzes adaptive artificial intelligence techniques designed for wireless sensor networks to enhance operational efficiency, system interpretability, and node reliability. The volume establishes how adaptive computation refines data handling across complex sensing environments. It provides systematic practical guidance on designing trustworthy, user-friendly model frameworks that remain compliant with relevant regulatory standards.

The text explains how transparent decision-making processes work to strengthen human-AI collaboration in real-time operations. It organizes its technical scope around primary deployment sectors, examining applications in continuous healthcare monitoring, environmental observation, smart city infrastructure, and industrial automation. The coverage further evaluates the role of adaptive algorithms and sensor data within financial operations and autonomous vehicle navigation.

Practical demonstrations and empirical case studies validate the implementation of these intelligent sensing models across diverse field conditions. The volume provides graduate students, academic faculty, and research specialists with evidence-based approaches for managing modern sensor informatics.

Chapter 1: AI in Sensor Technology
- • Integration of AI in sensor technology
- • Advancements in sensor design and development with AI
- • Applications of AI-enabled sensors in various domains
Chapter 2: AI for Sensor Data Analysis
- • AI-driven techniques for sensor data analysis
- • Machine learning algorithms for sensor data interpretation
- • Real-time insights and decision-making using AI in sensor data analysis
Chapter 3: Role of AI in Wireless Sensor Network (WSN)
- • Integration of AI in WSN
- • Challenges and advantages of AI in WSN
- • Emerging trends in AI and WSN Integration
Chapter 4: AI driven-Smart data processing in WSN
- • Adaptive Data Fusion and Aggregation
- • Context-aware Data Processing Techniques
Chapter 5: Energy Efficient communication with adaptive AI models
- • Energy aware transmission
- • Cognitive Radio Networks for Spectrum Management
- • Adaptive Routing protocols
Chapter 6: Adaptive AI techniques for the deployment of WSN
- • Dynamic node deployment strategies for WSN
- • Dynamic optimization techniques for sensor placement
- • Smart Trajectory panning in UAV assisted WSN
Chapter 7: AI in Smart Sensing and Things
- • AI based smart IoT system
- • Smart data storage and data processing
- • IoT data analytics Models
Chapter 8: AI in Sensor Cloud
- • Data Processing in Sensor Cloud
- • AI-based Optimizations.
Chapter 9: AI powered Edge computing for IoT
- • AI Models for Real-Time Data Processing and Decision-Making at the Edge
- • Edge-Based Machine Learning Inference and Model Deployment
- • Adaptive AI Algorithms for Resource-Constrained Edge Devices
Chapter 10: Adaptive AI in techniques for Industrial Internet of Things
- • Adaptive AI-Driven Predictive Maintenance in Manufacturing
- • Smart Energy Management Systems for Industrial
- • Adaptive Robotics and Automation in Industrial Settings
- • Safety-Critical Applications with Adaptive AI in Industrial IoT
Chapter 11: AI in Urban Infrastructure Monitoring
- • AI applications in urban infrastructure monitoring
- • Smart city initiatives and AI integration
- • Challenges and opportunities in urban infrastructure monitoring with AI
Chapter 12: Real-World Applications
- • Healthcare Monitoring and Telemedicine
- • Smart Agriculture and Precision Farming
- • Energy Management and Smart Grids
- • AI in Environmental Monitoring and Sustainability
Chapter 13: Future Directions and Emerging Trends of Adaptive AI in WSN, IoT, IIoT
- • Emerging Trends in Adaptive AI in WSN, IoT, IIoT
- • Challenges and Open Research Questions in Adaptive AI in WSN, IoT, IIoT