TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
出版年份 2018 全文链接
标题
TwitterSensing: An Event-Based Approach for Wireless Sensor Networks Optimization Exploiting Social Media in Smart City Applications
作者
关键词
-
出版物
SENSORS
Volume 18, Issue 4, Pages 1080
出版商
MDPI AG
发表日期
2018-04-04
DOI
10.3390/s18041080
参考文献
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注意:仅列出部分参考文献,下载原文获取全部文献信息。- Wireless visual sensor networks for smart city applications:A relevance-based approach for multiple sinks mobility
- (2017) João Paulo Just Peixoto et al. Future Generation Computer Systems-The International Journal of eScience
- Local Threshold Design for Target Localization Using Error Correcting Codes in Wireless Sensor Networks in the Presence of Byzantine Attacks
- (2017) Chun-Yi Wei et al. IEEE Transactions on Information Forensics and Security
- Distributed detection of a non-cooperative target via generalized locally-optimum approaches
- (2017) D. Ciuonzo et al. Information Fusion
- A Fuzzy-Based Approach for Sensing, Coding and Transmission Configuration of Visual Sensors in Smart City Applications
- (2017) Daniel Costa et al. SENSORS
- Opinion Mining and Information Fusion: A survey
- (2016) Jorge A. Balazs et al. Information Fusion
- Reliability in wireless sensor networks: A survey and challenges ahead
- (2015) Muhammad Adeel Mahmood et al. Computer Networks
- A survey on text mining in social networks
- (2015) Rizwana Irfan et al. KNOWLEDGE ENGINEERING REVIEW
- A survey on opinion mining and sentiment analysis: Tasks, approaches and applications
- (2015) Kumar Ravi et al. KNOWLEDGE-BASED SYSTEMS
- Research Trends in Wireless Visual Sensor Networks When Exploiting Prioritization
- (2015) Daniel Costa et al. SENSORS
- Relevance-based partial reliability in wireless sensor networks
- (2014) Daniel G Costa et al. EURASIP Journal on Wireless Communications and Networking
- Anchor Node Localization for Wireless Sensor Networks Using Video and Compass Information Fusion
- (2014) Dan Pescaru et al. SENSORS
- A Survey of Techniques for Event Detection in Twitter
- (2013) Farzindar Atefeh et al. COMPUTATIONAL INTELLIGENCE
- Sensing as a service model for smart cities supported by Internet of Things
- (2013) Charith Perera et al. Transactions on Emerging Telecommunications Technologies
- Adaptive Monitoring Relevance in Camera Networks for Critical Surveillance Applications
- (2013) Daniel G. Costa et al. International Journal of Distributed Sensor Networks
- Smart cities of the future
- (2012) M. Batty et al. European Physical Journal-Special Topics
- An intelligent self-adjusting sensor for smart home services based on ZigBee communications
- (2012) Jinsung Byun et al. IEEE TRANSACTIONS ON CONSUMER ELECTRONICS
- Social Network Analysis and Mining for Business Applications
- (2012) Francesco Bonchi et al. ACM Transactions on Intelligent Systems and Technology
- Using fuzzy logic for robust event detection in wireless sensor networks
- (2011) Krasimira Kapitanova et al. Ad Hoc Networks
- Survey on mining subjective data on the web
- (2011) Mikalai Tsytsarau et al. DATA MINING AND KNOWLEDGE DISCOVERY
- Exploiting the sensing relevancies of source nodes for optimizations in visual sensor networks
- (2011) Daniel G. Costa et al. MULTIMEDIA TOOLS AND APPLICATIONS
- Collaborative Localization Algorithms for Wireless Sensor Networks with Reduced Localization Error
- (2011) Prasan Kumar Sahoo et al. SENSORS
- Twitter mood predicts the stock market
- (2011) Johan Bollen et al. Journal of Computational Science
- The Coverage Problem in Video-Based Wireless Sensor Networks: A Survey
- (2010) Daniel Costa et al. SENSORS
- Reliable Event-Detection in Wireless Visual Sensor Networks Through Scalar Collaboration and Game-Theoretic Consideration
- (2008) Alexandra Czarlinska et al. IEEE TRANSACTIONS ON MULTIMEDIA
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