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Sensor Networks Physical and Social Sensing in the IoT

This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor n...

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Bibliographic Details
Main Author: De, Suparna
Other Authors: Moessner, Klaus
Format: eBook
Language:English
Published: Basel MDPI - Multidisciplinary Digital Publishing Institute 2023
Subjects:
Sampling Rate
Aggregation
Zenoh
Key Management
N/a
Privacy
Proximity Detection
Feature Selection
Indicators
Distributed-architecture
Mental Health
Smart Home
Big Data
Feature Analysis
Search
History Of Engineering & Technology / Bicssc
Wearable Sensors
Egocentric Network
Fault Detection
Sensor Data
Perturbation Mechanism
Technology: General Issues / Bicssc
Voice Assistant
Smart Tourism
Machine Learning (ml)
Feature Extraction
Pervasive Computing
Iot Data Sources
Multi-floor Areas
Coherent Topic
Artificial Neural Network
Reliability
Context Awareness
Internet Of Things
E-tourism
Industrial Revolution 4.0 (ir 4.0)
Fall Detection
Pretrained Word Embedding
Computer Networks
Spark
State-of-the-art
Home Energy Management Systems (hems)
Faas
Smart Meter
Security
Social Sensing
Location Privacy
Authentication
Wireless Sensor Networks (wsn)
Network Security
Sociability Pattern
Visualization
Social Behavior
Elasticsearch
Data Reduction
Sensors
Data Preprocessing
Systematic Literature Review (slr)
Internet Of Things (iot)
Social Communication
Neural-topic Model
Sociability
Artificial Intelligence (ai)
Anomaly Detection
Fine-tuning
Industry 4.0
Digital Contact Tracing
Iot Search Framework
Machine Learning
Short-text Data
Online Access:
Collection: Directory of Open Access Books - Collection details see MPG.ReNa
Description
Summary:This reprint presents a collection of original research and survey articles that tackle the practical challenges in large-scale and rapid deployment of sensors for diverse applications as well as the resulting Big Data processing. The complexity of the generated data ranges from large-scale sensor networks to smartphone-enabled citizen sensing data from social networks and personal health devices, which requires advanced data processing, mining and fusion methods. Solutions listed in this book include those that address issues of the interoperability of IoT solutions and data fragmentation through crawling, indexing and searching IoT data sources and the predictive maintenance of sensors. Social networks are also in scope, through a visualisation system for the analysis of anomalies in social graphs, detecting context-aware sociability patterns and assessing the effectiveness of fine tuning and pretrained word embedding in generating interpretable topics from short texts in social networks. Applications in scope include smart tourism, fall detection through personal health sensors and an energy management expert assistant.
Item Description:Creative Commons (cc), https://creativecommons.org/licenses/by/4.0/
Physical Description:1 electronic resource (316 p.)
ISBN:9783036574691
books978-3-0365-7469-1
9783036574684

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