Explore
Sensor Networks
0 Ungluers have
Faved this Work
Login to Fave
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.
This book is included in DOAB.
Why read this book? Have your say.
You must be logged in to comment.
Rights Information
Are you the author or publisher of this work? If so, you can claim it as yours by registering as an Unglue.it rights holder.Downloads
This work has been downloaded 27 times via unglue.it ebook links.
- 27 - pdf (CC BY) at Unglue.it.
Keywords
- aggregation
- anomaly detection
- artificial intelligence (AI)
- artificial neural network
- authentication
- big data
- coherent topic
- Computer networks
- context awareness
- data preprocessing
- data reduction
- digital contact tracing
- distributed-architecture
- e-Tourism
- egocentric network
- Elasticsearch
- FaaS
- fall detection
- fault detection
- feature analysis
- feature extraction
- feature selection
- fine-tuning
- History of engineering & technology
- home energy management systems (HEMS)
- indicators
- industrial revolution 4.0 (IR 4.0)
- Industry 4.0
- Internet of Things
- Internet of Things (IoT)
- IoT data sources
- IoT search framework
- key management
- location privacy
- Machine learning
- machine learning (ML)
- Mental health
- multi-floor areas
- n/a
- network security
- neural-topic model
- perturbation mechanism
- pervasive computing
- pretrained word embedding
- privacy
- proximity detection
- Reliability
- sampling rate
- search
- security
- sensor data
- sensors
- short-text data
- Smart Home
- Smart meter
- Smart tourism
- Sociability
- sociability pattern
- Social Behavior
- social communication
- social sensing
- Spark
- state-of-the-art
- systematic literature review (SLR)
- Technology, engineering, agriculture
- Technology: general issues
- Visualization
- Voice Assistant
- Wearable sensors
- wireless sensor networks (WSN)
- Zenoh