Metaheuristics and Reinforcement Techniques for Smart Sensor Applications - Image 1

£108.00

Chapman and Hall/CRC Metaheuristics and Reinforcement Techniques for Smart Sensor Applications

Name: Metaheuristics and Reinforcement Techniques for Smart Sensor Applications
Brand: Chapman and Hall/CRC
Price: 108.0 GBP
Availability: InStock

Architecture & Microprocessors

It has never been this cheap. We have no record of a lower price.

£108 today · cheaper than every other day in the last 2 months

NEW HERE?

Amazon shows you one price. We show you all of them.

Tosheroon watches Amazon prices so you don't have to. Every product on Amazon has a price history — we make it visible. Set the price you'd actually pay, and we'll email you the second it gets there. No app, no account, one email.

WHAT'S ON THIS PAGE

↓ Price chart
when this has been cheap or pricey

↓ Forecast
where the price is heading next

↓ Statistics
all-time high & low, recent range

↑ Price alert
name your number, we'll email you

Price History & Forecast

Grey patches = out of stock. Cheaper = lower on the chart. Hover for exact prices.

Last 10 days · 10 data points (no recent data)

Historical

Generating forecast…

Price Distribution

Price distribution over 10 days • 1 price levels

Days at Price

Price Analysis

Most common price: £108 (10 days, 100.0%)

Price range: £108 - £108

Price levels: 1 different prices over 10 days

Description

This book discusses the fundamentals of wireless sensor networks,and the prevailing method and trends of smart sensor applications. It presents analytical modelling to foster the understanding of network challenges in developing protocols for next-generation communication standards. • Presents an overview of the low-power sensor, network standards, design challenges and sensor network simulation • Focusses on clustering, methods available for wireless sensor networks to tackle energy hole problems, load balancing and network lifetime enhancements • Discusses enhanced versions of energy models enriched with energy harvesting • Provides an insight into coverage and connectivity issues with genetic meta-heuristics, evolutionary models and reinforcement methodologies designed for wireless sensor networks • Includes a wide range of sensor network applications and their integration with social networks and neural computing. The reference book is for researchers and scholars interested in Smart Sensor applications.

Product Specifications

Brand: Chapman and Hall/CRC
Format: hardcover
ASIN: 1032542357
Category: Books > Subjects > Computing & Internet > Computer Science > Architecture & Microprocessors
Domain: Amazon UK
Release Date: 23 October 2024
Listed Since: 19 April 2024

Barcode

No barcode data available

Chapman and Hall/CRC Metaheuristics and Reinforcement Techniques for Smart Sensor Applications

It has never been this cheap. We have no record of a lower price.

Price History & Forecast

Price Distribution

Price Analysis

Description

Product Specifications

Barcode

Similar Products You Might Like

Bio-Inspired Computational Paradigms: Security and Privacy in Dynamic Smart Networks

Advanced Machine Learning with Evolutionary and Metaheuristic Techniques (Computational Intelligence Methods and Applications)

Handbook of Geometric Constraint Systems Principles (Discrete Mathematics and Its Applications)

Discrete Mathematics for Data Science

Text and Social Media Analytics for Fake News and Hate Speech Detection

Cloud Computing for Smart Education and Collaborative Learning

Image Processing and Machine Learning (ISC2 Press)

Applied Machine Learning Using mlr3 in R

Healthcare-Driven Intelligent Computing Paradigms to Secure Futuristic Smart Cities (High-Performance Computing for Smart Healthcare)

Summability, Fixed Point Theory and Generalized Integrals with Applications

Emerging Electrical and Computer Technologies for Smart Cities: Modelling, Solution Techniques and Applications

Computational Techniques in Precision Agriculture: Advances and Applications (Computational and Intelligent Systems)

Low Power Architectures for IoT Applications (Springer Tracts in Electrical and Electronics Engineering)

Spatial Predictive Modeling with R

Undocumented Secrets of MATLAB-Java Programming

Heterogenous Computational Intelligence in Internet of Things

Personalized Information Retrieval Systems: Using Computational Intelligence Techniques

Techniques to Measure Food Safety and Quality: Microbial, Chemical, and Sensory

Digital Farming and Smart Agriculture for Sustainable Future

Search Strategies of Population-based Metaheuristics in Timetabling

Cognitive Analytics and Reinforcement Learning: Theories, Techniques and Applications

Macrocyclic Receptors for Environmental and Biosensing Applications

GIS Automated Delineation of Hospital Service Areas

Integrated Gas Sensing and Biomarker Detection: Sensor Technology and Machine Learning Applications